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CSIROBoeingPhase5-Vietnam/processMark.ipynb
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nghiadang c0286ca07f add process mark
2024-08-30 03:17:18 +00:00

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{
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{
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"id": "9eec2a86-1783-4f9d-8c2c-243142be5c35",
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},
"outputs": [
{
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" }\n",
"\n",
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" })\n",
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" }\n",
" const element = document.createElement(\"link\");\n",
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" element.rel = \"stylesheet\";\n",
" element.type = \"text/css\";\n",
" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
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" element.async = false;\n",
" element.src = url;\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" for (var i = 0; i < js_modules.length; i++) {\n",
" var url = js_modules[i];\n",
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"\tif (!window.requirejs) {\n",
"\t on_load();\n",
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" }\n",
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" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" element.type = \"module\";\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" for (const name in js_exports) {\n",
" var url = js_exports[name];\n",
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"\t on_load();\n",
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" element.onerror = on_error;\n",
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" element.type = \"module\";\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" element.textContent = `\n",
" import ${name} from \"${url}\"\n",
" window.${name} = ${name}\n",
" window._bokeh_on_load()\n",
" `\n",
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" }\n",
" if (!js_urls.length && !js_modules.length) {\n",
" on_load()\n",
" }\n",
" };\n",
"\n",
" function inject_raw_css(css) {\n",
" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.2.min.js\", \"https://cdn.holoviz.org/panel/1.2.3/dist/panel.min.js\"];\n",
" var js_modules = [];\n",
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"function(Bokeh) {} // ensure no trailing comma for IE\n",
" ];\n",
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" if (Bokeh != undefined && !reloading) {\n",
"\tvar NewBokeh = root.Bokeh;\n",
"\tif (Bokeh.versions === undefined) {\n",
"\t Bokeh.versions = new Map();\n",
"\t}\n",
"\tif (NewBokeh.version !== Bokeh.version) {\n",
"\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
"\t}\n",
"\troot.Bokeh = Bokeh;\n",
" }} else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
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" }\n",
" root._bokeh_is_initializing = false\n",
" }\n",
"\n",
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" // versions of Bokeh and its dependencies at the same time.\n",
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" root._bokeh_is_initializing = false;\n",
" root._bokeh_onload_callbacks = undefined;\n",
" console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
" load_or_wait();\n",
" } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
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" bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
" root._bokeh_is_initializing = true\n",
" root._bokeh_onload_callbacks = []\n",
" if (!reloading && (!bokeh_loaded || is_dev)) {\n",
"\troot.Bokeh = undefined;\n",
" }\n",
" load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
"\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
"\trun_inline_js();\n",
" });\n",
" }\n",
" }\n",
" // Give older versions of the autoload script a head-start to ensure\n",
" // they initialize before we start loading newer version.\n",
" setTimeout(load_or_wait, 100)\n",
"}(window));"
],
"application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; 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window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<style>*[data-root-id],\n",
"*[data-root-id] > * {\n",
" box-sizing: border-box;\n",
" font-family: var(--jp-ui-font-family);\n",
" font-size: var(--jp-ui-font-size1);\n",
" color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
"}\n",
"\n",
"/* Override VSCode background color */\n",
".cell-output-ipywidget-background:has(\n",
" > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
" ),\n",
".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
" background-color: transparent !important;\n",
"}\n",
"</style>"
]
},
"metadata": {},
"output_type": "display_data"
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{
"data": {
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"(function(root) {\n",
" function now() {\n",
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" }\n",
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" var reloading = true;\n",
" var Bokeh = root.Bokeh;\n",
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" root._bokeh_onload_callbacks.forEach(function(callback) {\n",
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" }\n",
" console.debug(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
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"\n",
" root._bokeh_onload_callbacks.push(callback);\n",
"\n",
" if (root._bokeh_is_loading > 0) {\n",
" console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
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" console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" }\n",
"\n",
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" root._bokeh_is_loading--;\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
" run_callbacks()\n",
" }\n",
" }\n",
" window._bokeh_on_load = on_load\n",
"\n",
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" console.error(\"failed to load \" + url);\n",
" }\n",
"\n",
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" require([\"jspanel\"], function(jsPanel) {\n",
"\twindow.jsPanel = jsPanel\n",
"\ton_load()\n",
" })\n",
" require([\"jspanel-modal\"], function() {\n",
"\ton_load()\n",
" })\n",
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"\ton_load()\n",
" })\n",
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"\ton_load()\n",
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" })\n",
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"\ton_load()\n",
" })\n",
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"\ton_load()\n",
" })\n",
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"\twindow.GridStack = GridStack\n",
"\ton_load()\n",
" })\n",
" require([\"notyf\"], function() {\n",
"\ton_load()\n",
" })\n",
" root._bokeh_is_loading = css_urls.length + 9;\n",
" } else {\n",
" root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
" }\n",
"\n",
" var existing_stylesheets = []\n",
" var links = document.getElementsByTagName('link')\n",
" for (var i = 0; i < links.length; i++) {\n",
" var link = links[i]\n",
" if (link.href != null) {\n",
"\texisting_stylesheets.push(link.href)\n",
" }\n",
" }\n",
" for (var i = 0; i < css_urls.length; i++) {\n",
" var url = css_urls[i];\n",
" if (existing_stylesheets.indexOf(url) !== -1) {\n",
"\ton_load()\n",
"\tcontinue;\n",
" }\n",
" const element = document.createElement(\"link\");\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.rel = \"stylesheet\";\n",
" element.type = \"text/css\";\n",
" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
" } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
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" for (var i = 0; i < urls.length; i++) {\n",
" skip.push(urls[i])\n",
" }\n",
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" for (var i = 0; i < urls.length; i++) {\n",
" skip.push(urls[i])\n",
" }\n",
" } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
" var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
" for (var i = 0; i < urls.length; i++) {\n",
" skip.push(urls[i])\n",
" }\n",
" } var existing_scripts = []\n",
" var scripts = document.getElementsByTagName('script')\n",
" for (var i = 0; i < scripts.length; i++) {\n",
" var script = scripts[i]\n",
" if (script.src != null) {\n",
"\texisting_scripts.push(script.src)\n",
" }\n",
" }\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
"\tif (!window.requirejs) {\n",
"\t on_load();\n",
"\t}\n",
"\tcontinue;\n",
" }\n",
" var element = document.createElement('script');\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" for (var i = 0; i < js_modules.length; i++) {\n",
" var url = js_modules[i];\n",
" if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
"\tif (!window.requirejs) {\n",
"\t on_load();\n",
"\t}\n",
"\tcontinue;\n",
" }\n",
" var element = document.createElement('script');\n",
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" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" element.type = \"module\";\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" for (const name in js_exports) {\n",
" var url = js_exports[name];\n",
" if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
"\tif (!window.requirejs) {\n",
"\t on_load();\n",
"\t}\n",
"\tcontinue;\n",
" }\n",
" var element = document.createElement('script');\n",
" element.onerror = on_error;\n",
" element.async = false;\n",
" element.type = \"module\";\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" element.textContent = `\n",
" import ${name} from \"${url}\"\n",
" window.${name} = ${name}\n",
" window._bokeh_on_load()\n",
" `\n",
" document.head.appendChild(element);\n",
" }\n",
" if (!js_urls.length && !js_modules.length) {\n",
" on_load()\n",
" }\n",
" };\n",
"\n",
" function inject_raw_css(css) {\n",
" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" var js_urls = [];\n",
" var js_modules = [];\n",
" var js_exports = {};\n",
" var css_urls = [];\n",
" var inline_js = [ function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
"function(Bokeh) {} // ensure no trailing comma for IE\n",
" ];\n",
"\n",
" function run_inline_js() {\n",
" if ((root.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i].call(root, root.Bokeh);\n",
" }\n",
" // Cache old bokeh versions\n",
" if (Bokeh != undefined && !reloading) {\n",
"\tvar NewBokeh = root.Bokeh;\n",
"\tif (Bokeh.versions === undefined) {\n",
"\t Bokeh.versions = new Map();\n",
"\t}\n",
"\tif (NewBokeh.version !== Bokeh.version) {\n",
"\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
"\t}\n",
"\troot.Bokeh = Bokeh;\n",
" }} else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" }\n",
" root._bokeh_is_initializing = false\n",
" }\n",
"\n",
" function load_or_wait() {\n",
" // Implement a backoff loop that tries to ensure we do not load multiple\n",
" // versions of Bokeh and its dependencies at the same time.\n",
" // In recent versions we use the root._bokeh_is_initializing flag\n",
" // to determine whether there is an ongoing attempt to initialize\n",
" // bokeh, however for backward compatibility we also try to ensure\n",
" // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
" // before older versions are fully initialized.\n",
" if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
" root._bokeh_is_initializing = false;\n",
" root._bokeh_onload_callbacks = undefined;\n",
" console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
" load_or_wait();\n",
" } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
" setTimeout(load_or_wait, 100);\n",
" } else {\n",
" Bokeh = root.Bokeh;\n",
" bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
" root._bokeh_is_initializing = true\n",
" root._bokeh_onload_callbacks = []\n",
" if (!reloading && (!bokeh_loaded || is_dev)) {\n",
"\troot.Bokeh = undefined;\n",
" }\n",
" load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
"\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
"\trun_inline_js();\n",
" });\n",
" }\n",
" }\n",
" // Give older versions of the autoload script a head-start to ensure\n",
" // they initialize before we start loading newer version.\n",
" setTimeout(load_or_wait, 100)\n",
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],
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"## cấu hình thời gian lấy ảnh và tọa độ\n",
"date_range = ('2022-09-01', '2023-10-01')\n",
"longtitude_range = (105.86575, 105.94120)\n",
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"Most common native CRS: EPSG:32648\n",
"No datasets require offset correction\n",
"The valid_data_mask and scale (no offset) have been applied to the reflectance bands\n"
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"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 78, y: 532, x: 830)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-02T03:35:38.706000 ... 2023-09...\n",
" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 32648\n",
"Data variables:\n",
" blue (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" green (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" red (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" nir (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" scl (time, y, x) uint8 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-69646eef-15c0-472d-91c8-d61bda05bcf4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-69646eef-15c0-472d-91c8-d61bda05bcf4' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 78</li><li><span class='xr-has-index'>y</span>: 532</li><li><span class='xr-has-index'>x</span>: 830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a0d0440f-f726-4d06-b8b9-27160b132e68' class='xr-section-summary-in' type='checkbox' checked><label for='section-a0d0440f-f726-4d06-b8b9-27160b132e68' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-02T03:35:38.706000 ... 2...</div><input id='attrs-0ff0fd10-580c-4f8e-bfe8-396cbfcf490b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ff0fd10-580c-4f8e-bfe8-396cbfcf490b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-025a99a2-32ef-441a-831c-8c4c75ac3b81' class='xr-var-data-in' type='checkbox'><label for='data-025a99a2-32ef-441a-831c-8c4c75ac3b81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-02T03:35:38.706000000&#x27;, &#x27;2022-09-07T03:35:28.392000000&#x27;,\n",
" &#x27;2022-09-12T03:35:36.984000000&#x27;, &#x27;2022-09-17T03:35:28.396000000&#x27;,\n",
" &#x27;2022-09-22T03:35:33.676000000&#x27;, &#x27;2022-09-27T03:35:26.885000000&#x27;,\n",
" &#x27;2022-10-02T03:35:33.797000000&#x27;, &#x27;2022-10-07T03:35:23.874000000&#x27;,\n",
" &#x27;2022-10-12T03:35:31.889000000&#x27;, &#x27;2022-10-17T03:35:25.895000000&#x27;,\n",
" &#x27;2022-10-22T03:35:28.478000000&#x27;, &#x27;2022-10-27T03:35:25.671000000&#x27;,\n",
" &#x27;2022-11-01T03:35:30.553000000&#x27;, &#x27;2022-11-06T03:35:24.840000000&#x27;,\n",
" &#x27;2022-11-11T03:35:30.080000000&#x27;, &#x27;2022-11-16T03:35:26.282000000&#x27;,\n",
" &#x27;2022-11-21T03:35:27.133000000&#x27;, &#x27;2022-11-26T03:35:25.806000000&#x27;,\n",
" &#x27;2022-12-01T03:35:26.747000000&#x27;, &#x27;2022-12-06T03:35:23.575000000&#x27;,\n",
" &#x27;2022-12-11T03:35:26.920000000&#x27;, &#x27;2022-12-16T03:35:24.874000000&#x27;,\n",
" &#x27;2022-12-21T03:35:24.727000000&#x27;, &#x27;2022-12-26T03:35:25.874000000&#x27;,\n",
" &#x27;2022-12-31T03:35:25.489000000&#x27;, &#x27;2023-01-05T03:35:26.328000000&#x27;,\n",
" &#x27;2023-01-10T03:35:24.897000000&#x27;, &#x27;2023-01-15T03:35:22.879000000&#x27;,\n",
" &#x27;2023-01-20T03:35:21.331000000&#x27;, &#x27;2023-01-25T03:35:24.561000000&#x27;,\n",
" &#x27;2023-01-30T03:35:24.703000000&#x27;, &#x27;2023-02-04T03:35:25.086000000&#x27;,\n",
" &#x27;2023-02-09T03:35:25.381000000&#x27;, &#x27;2023-02-14T03:35:24.987000000&#x27;,\n",
" &#x27;2023-02-24T03:35:26.862000000&#x27;, &#x27;2023-03-01T03:35:23.929000000&#x27;,\n",
" &#x27;2023-03-06T03:35:29.457000000&#x27;, &#x27;2023-03-11T03:35:21.972000000&#x27;,\n",
" &#x27;2023-03-16T03:35:30.684000000&#x27;, &#x27;2023-03-21T03:35:25.016000000&#x27;,\n",
" &#x27;2023-03-26T03:35:29.316000000&#x27;, &#x27;2023-03-31T03:35:24.882000000&#x27;,\n",
" &#x27;2023-04-05T03:35:29.667000000&#x27;, &#x27;2023-04-10T03:35:26.745000000&#x27;,\n",
" &#x27;2023-04-15T03:35:27.482000000&#x27;, &#x27;2023-04-20T03:35:25.073000000&#x27;,\n",
" &#x27;2023-04-25T03:35:28.492000000&#x27;, &#x27;2023-04-30T03:35:26.887000000&#x27;,\n",
" &#x27;2023-05-05T03:35:29.183000000&#x27;, &#x27;2023-05-10T03:35:26.031000000&#x27;,\n",
" &#x27;2023-05-15T03:35:30.428000000&#x27;, &#x27;2023-05-20T03:35:28.932000000&#x27;,\n",
" &#x27;2023-05-25T03:35:31.398000000&#x27;, &#x27;2023-05-30T03:35:30.380000000&#x27;,\n",
" &#x27;2023-06-04T03:35:30.790000000&#x27;, &#x27;2023-06-09T03:35:30.281000000&#x27;,\n",
" &#x27;2023-06-14T03:35:31.608000000&#x27;, &#x27;2023-06-19T03:35:30.646000000&#x27;,\n",
" &#x27;2023-06-24T03:35:30.720000000&#x27;, &#x27;2023-06-29T03:35:30.713000000&#x27;,\n",
" &#x27;2023-07-04T03:35:31.975000000&#x27;, &#x27;2023-07-09T03:35:31.850000000&#x27;,\n",
" &#x27;2023-07-14T03:35:31.327000000&#x27;, &#x27;2023-07-19T03:35:30.791000000&#x27;,\n",
" &#x27;2023-07-24T03:35:32.589000000&#x27;, &#x27;2023-07-29T03:35:31.826000000&#x27;,\n",
" &#x27;2023-08-03T03:35:31.242000000&#x27;, &#x27;2023-08-08T03:35:31.056000000&#x27;,\n",
" &#x27;2023-08-13T03:35:32.189000000&#x27;, &#x27;2023-08-18T03:35:32.563000000&#x27;,\n",
" &#x27;2023-08-23T03:35:30.964000000&#x27;, &#x27;2023-08-28T03:35:32.323000000&#x27;,\n",
" &#x27;2023-09-02T03:35:31.370000000&#x27;, &#x27;2023-09-07T03:35:31.878000000&#x27;,\n",
" &#x27;2023-09-12T03:35:30.073000000&#x27;, &#x27;2023-09-17T03:35:30.006000000&#x27;,\n",
" &#x27;2023-09-22T03:35:30.187000000&#x27;, &#x27;2023-09-27T03:35:28.858000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.072e+06 1.072e+06 ... 1.067e+06</div><input id='attrs-258b7d13-9a00-4b3c-abaf-5b58b8d971e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-258b7d13-9a00-4b3c-abaf-5b58b8d971e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-106f2e23-98ae-4e24-b8d3-312c9069c7dd' class='xr-var-data-in' type='checkbox'><label for='data-106f2e23-98ae-4e24-b8d3-312c9069c7dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1072225., 1072215., 1072205., ..., 1066935., 1066925., 1066915.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.95e+05 5.95e+05 ... 6.033e+05</div><input id='attrs-d89eed84-a7b3-46c8-8f6b-6a5e5806b023' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d89eed84-a7b3-46c8-8f6b-6a5e5806b023' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5137a3ff-9048-4127-937e-47a59d933670' class='xr-var-data-in' type='checkbox'><label for='data-5137a3ff-9048-4127-937e-47a59d933670' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([594975., 594985., 594995., ..., 603245., 603255., 603265.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-c10a7dd7-f92b-42ab-a850-d9e22788e175' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c10a7dd7-f92b-42ab-a850-d9e22788e175' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2289bd9-d13e-453b-b93c-0369849efe95' class='xr-var-data-in' type='checkbox'><label for='data-e2289bd9-d13e-453b-b93c-0369849efe95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee10defd-1c70-49e0-8b0b-7dfacbcacfa5' class='xr-section-summary-in' type='checkbox' checked><label for='section-ee10defd-1c70-49e0-8b0b-7dfacbcacfa5' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;</div><input id='attrs-0b4fce00-0999-42f6-9155-5a9e943d6c50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b4fce00-0999-42f6-9155-5a9e943d6c50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af8ad2bd-d762-4766-8d16-79b2923c94be' class='xr-var-data-in' type='checkbox'><label for='data-af8ad2bd-d762-4766-8d16-79b2923c94be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 131.38 MiB </td>\n",
" <td> 1.68 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (78, 532, 830) </td>\n",
" <td> (1, 532, 830) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 78 chunks in 8 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"202\" height=\"149\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"32\" y2=\"22\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"76\" x2=\"32\" y2=\"99\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"76\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"78\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"79\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"80\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"81\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"82\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"83\" />\n",
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" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"86\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"87\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"88\" />\n",
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" <td> 32.85 MiB </td>\n",
" <td> 431.21 kiB </td>\n",
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" <td> (78, 532, 830) </td>\n",
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" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 78 chunks in 1 graph layer </td>\n",
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" <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b31f50c0-30e1-4ced-9f47-ac626cf64d9d' class='xr-section-summary-in' type='checkbox' ><label for='section-b31f50c0-30e1-4ced-9f47-ac626cf64d9d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5a64f6b9-4a00-4bb9-8221-f903cad8654e' class='xr-index-data-in' type='checkbox'/><label for='index-5a64f6b9-4a00-4bb9-8221-f903cad8654e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-02 03:35:38.706000&#x27;, &#x27;2022-09-07 03:35:28.392000&#x27;,\n",
" &#x27;2022-09-12 03:35:36.984000&#x27;, &#x27;2022-09-17 03:35:28.396000&#x27;,\n",
" &#x27;2022-09-22 03:35:33.676000&#x27;, &#x27;2022-09-27 03:35:26.885000&#x27;,\n",
" &#x27;2022-10-02 03:35:33.797000&#x27;, &#x27;2022-10-07 03:35:23.874000&#x27;,\n",
" &#x27;2022-10-12 03:35:31.889000&#x27;, &#x27;2022-10-17 03:35:25.895000&#x27;,\n",
" &#x27;2022-10-22 03:35:28.478000&#x27;, &#x27;2022-10-27 03:35:25.671000&#x27;,\n",
" &#x27;2022-11-01 03:35:30.553000&#x27;, &#x27;2022-11-06 03:35:24.840000&#x27;,\n",
" &#x27;2022-11-11 03:35:30.080000&#x27;, &#x27;2022-11-16 03:35:26.282000&#x27;,\n",
" &#x27;2022-11-21 03:35:27.133000&#x27;, &#x27;2022-11-26 03:35:25.806000&#x27;,\n",
" &#x27;2022-12-01 03:35:26.747000&#x27;, &#x27;2022-12-06 03:35:23.575000&#x27;,\n",
" &#x27;2022-12-11 03:35:26.920000&#x27;, &#x27;2022-12-16 03:35:24.874000&#x27;,\n",
" &#x27;2022-12-21 03:35:24.727000&#x27;, &#x27;2022-12-26 03:35:25.874000&#x27;,\n",
" &#x27;2022-12-31 03:35:25.489000&#x27;, &#x27;2023-01-05 03:35:26.328000&#x27;,\n",
" &#x27;2023-01-10 03:35:24.897000&#x27;, &#x27;2023-01-15 03:35:22.879000&#x27;,\n",
" &#x27;2023-01-20 03:35:21.331000&#x27;, &#x27;2023-01-25 03:35:24.561000&#x27;,\n",
" &#x27;2023-01-30 03:35:24.703000&#x27;, &#x27;2023-02-04 03:35:25.086000&#x27;,\n",
" &#x27;2023-02-09 03:35:25.381000&#x27;, &#x27;2023-02-14 03:35:24.987000&#x27;,\n",
" &#x27;2023-02-24 03:35:26.862000&#x27;, &#x27;2023-03-01 03:35:23.929000&#x27;,\n",
" &#x27;2023-03-06 03:35:29.457000&#x27;, &#x27;2023-03-11 03:35:21.972000&#x27;,\n",
" &#x27;2023-03-16 03:35:30.684000&#x27;, &#x27;2023-03-21 03:35:25.016000&#x27;,\n",
" &#x27;2023-03-26 03:35:29.316000&#x27;, &#x27;2023-03-31 03:35:24.882000&#x27;,\n",
" &#x27;2023-04-05 03:35:29.667000&#x27;, &#x27;2023-04-10 03:35:26.745000&#x27;,\n",
" &#x27;2023-04-15 03:35:27.482000&#x27;, &#x27;2023-04-20 03:35:25.073000&#x27;,\n",
" &#x27;2023-04-25 03:35:28.492000&#x27;, &#x27;2023-04-30 03:35:26.887000&#x27;,\n",
" &#x27;2023-05-05 03:35:29.183000&#x27;, &#x27;2023-05-10 03:35:26.031000&#x27;,\n",
" &#x27;2023-05-15 03:35:30.428000&#x27;, &#x27;2023-05-20 03:35:28.932000&#x27;,\n",
" &#x27;2023-05-25 03:35:31.398000&#x27;, &#x27;2023-05-30 03:35:30.380000&#x27;,\n",
" &#x27;2023-06-04 03:35:30.790000&#x27;, &#x27;2023-06-09 03:35:30.281000&#x27;,\n",
" &#x27;2023-06-14 03:35:31.608000&#x27;, &#x27;2023-06-19 03:35:30.646000&#x27;,\n",
" &#x27;2023-06-24 03:35:30.720000&#x27;, &#x27;2023-06-29 03:35:30.713000&#x27;,\n",
" &#x27;2023-07-04 03:35:31.975000&#x27;, &#x27;2023-07-09 03:35:31.850000&#x27;,\n",
" &#x27;2023-07-14 03:35:31.327000&#x27;, &#x27;2023-07-19 03:35:30.791000&#x27;,\n",
" &#x27;2023-07-24 03:35:32.589000&#x27;, &#x27;2023-07-29 03:35:31.826000&#x27;,\n",
" &#x27;2023-08-03 03:35:31.242000&#x27;, &#x27;2023-08-08 03:35:31.056000&#x27;,\n",
" &#x27;2023-08-13 03:35:32.189000&#x27;, &#x27;2023-08-18 03:35:32.563000&#x27;,\n",
" &#x27;2023-08-23 03:35:30.964000&#x27;, &#x27;2023-08-28 03:35:32.323000&#x27;,\n",
" &#x27;2023-09-02 03:35:31.370000&#x27;, &#x27;2023-09-07 03:35:31.878000&#x27;,\n",
" &#x27;2023-09-12 03:35:30.073000&#x27;, &#x27;2023-09-17 03:35:30.006000&#x27;,\n",
" &#x27;2023-09-22 03:35:30.187000&#x27;, &#x27;2023-09-27 03:35:28.858000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b38d8f5e-91b8-4fce-aeee-7a5e091ada02' class='xr-index-data-in' type='checkbox'/><label for='index-b38d8f5e-91b8-4fce-aeee-7a5e091ada02' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1072225.0, 1072215.0, 1072205.0, 1072195.0, 1072185.0, 1072175.0,\n",
" 1072165.0, 1072155.0, 1072145.0, 1072135.0,\n",
" ...\n",
" 1067005.0, 1066995.0, 1066985.0, 1066975.0, 1066965.0, 1066955.0,\n",
" 1066945.0, 1066935.0, 1066925.0, 1066915.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=532))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8587e763-85c4-4285-9d9e-ab9a1813d170' class='xr-index-data-in' type='checkbox'/><label for='index-8587e763-85c4-4285-9d9e-ab9a1813d170' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0, 595035.0,\n",
" 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0, 603235.0,\n",
" 603245.0, 603255.0, 603265.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b937d81-81d8-4832-ae44-f3c8fd289842' class='xr-section-summary-in' type='checkbox' checked><label for='section-9b937d81-81d8-4832-ae44-f3c8fd289842' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
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"<xarray.Dataset>\n",
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" blue (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" green (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
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"source": [
"## truy vấn ảnh vệ tinh sen2\n",
"data = load_data(dc, date_range, longtitude_range, latitude_range)\n",
"notebook_utils.heading(notebook_utils.xarray_object_size(data))\n",
"display(data)"
]
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{
"cell_type": "code",
"execution_count": 5,
"id": "21ea0244-f56e-4fa2-88ca-004e9cdf3d1a",
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"{'0': 'no data',\n",
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{
"name": "stdout",
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"text": [
"CPU times: user 114 ms, sys: 7.17 ms, total: 122 ms\n",
"Wall time: 118 ms\n"
]
},
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"VBox()"
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"source": [
"%%time\n",
"# Tiến hành loại bỏ các vị trí bị mây ảnh hưởng\n",
"result = mask_clean(data)\n",
"progress(result)"
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;NDVI&#x27; (time: 78, y: 532, x: 830)&gt;\n",
"dask.array&lt;truediv, shape=(78, 532, 830), dtype=float32, chunksize=(1, 532, 830), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-02T03:35:38.706000 ... 2023-09...\n",
" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 32648</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'NDVI'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 78</li><li><span class='xr-has-index'>y</span>: 532</li><li><span class='xr-has-index'>x</span>: 830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8cc33cf1-60f0-4249-a600-74e4fc7d6f01' class='xr-array-in' type='checkbox' checked><label for='section-8cc33cf1-60f0-4249-a600-74e4fc7d6f01' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
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"\n",
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"\n",
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"\n",
" <!-- Horizontal lines -->\n",
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"\n",
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"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"32\" y1=\"22\" x2=\"152\" y2=\"22\" style=\"stroke-width:2\" />\n",
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"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"99\" style=\"stroke-width:2\" />\n",
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"\n",
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"\n",
" <!-- Text -->\n",
" <text x=\"92.499846\" y=\"119.415509\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >830</text>\n",
" <text x=\"172.499846\" y=\"60.957678\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,172.499846,60.957678)\">532</text>\n",
" <text x=\"11.249923\" y=\"108.165586\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,11.249923,108.165586)\">78</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></div></li><li class='xr-section-item'><input id='section-77bea171-dede-4931-b591-749979ae3ac9' class='xr-section-summary-in' type='checkbox' checked><label for='section-77bea171-dede-4931-b591-749979ae3ac9' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-02T03:35:38.706000 ... 2...</div><input id='attrs-551af6d7-7cfc-432f-9c28-9c911405fa81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-551af6d7-7cfc-432f-9c28-9c911405fa81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-721e7cfa-d144-4621-83a9-d44ca29ec652' class='xr-var-data-in' type='checkbox'><label for='data-721e7cfa-d144-4621-83a9-d44ca29ec652' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-02T03:35:38.706000000&#x27;, &#x27;2022-09-07T03:35:28.392000000&#x27;,\n",
" &#x27;2022-09-12T03:35:36.984000000&#x27;, &#x27;2022-09-17T03:35:28.396000000&#x27;,\n",
" &#x27;2022-09-22T03:35:33.676000000&#x27;, &#x27;2022-09-27T03:35:26.885000000&#x27;,\n",
" &#x27;2022-10-02T03:35:33.797000000&#x27;, &#x27;2022-10-07T03:35:23.874000000&#x27;,\n",
" &#x27;2022-10-12T03:35:31.889000000&#x27;, &#x27;2022-10-17T03:35:25.895000000&#x27;,\n",
" &#x27;2022-10-22T03:35:28.478000000&#x27;, &#x27;2022-10-27T03:35:25.671000000&#x27;,\n",
" &#x27;2022-11-01T03:35:30.553000000&#x27;, &#x27;2022-11-06T03:35:24.840000000&#x27;,\n",
" &#x27;2022-11-11T03:35:30.080000000&#x27;, &#x27;2022-11-16T03:35:26.282000000&#x27;,\n",
" &#x27;2022-11-21T03:35:27.133000000&#x27;, &#x27;2022-11-26T03:35:25.806000000&#x27;,\n",
" &#x27;2022-12-01T03:35:26.747000000&#x27;, &#x27;2022-12-06T03:35:23.575000000&#x27;,\n",
" &#x27;2022-12-11T03:35:26.920000000&#x27;, &#x27;2022-12-16T03:35:24.874000000&#x27;,\n",
" &#x27;2022-12-21T03:35:24.727000000&#x27;, &#x27;2022-12-26T03:35:25.874000000&#x27;,\n",
" &#x27;2022-12-31T03:35:25.489000000&#x27;, &#x27;2023-01-05T03:35:26.328000000&#x27;,\n",
" &#x27;2023-01-10T03:35:24.897000000&#x27;, &#x27;2023-01-15T03:35:22.879000000&#x27;,\n",
" &#x27;2023-01-20T03:35:21.331000000&#x27;, &#x27;2023-01-25T03:35:24.561000000&#x27;,\n",
" &#x27;2023-01-30T03:35:24.703000000&#x27;, &#x27;2023-02-04T03:35:25.086000000&#x27;,\n",
" &#x27;2023-02-09T03:35:25.381000000&#x27;, &#x27;2023-02-14T03:35:24.987000000&#x27;,\n",
" &#x27;2023-02-24T03:35:26.862000000&#x27;, &#x27;2023-03-01T03:35:23.929000000&#x27;,\n",
" &#x27;2023-03-06T03:35:29.457000000&#x27;, &#x27;2023-03-11T03:35:21.972000000&#x27;,\n",
" &#x27;2023-03-16T03:35:30.684000000&#x27;, &#x27;2023-03-21T03:35:25.016000000&#x27;,\n",
" &#x27;2023-03-26T03:35:29.316000000&#x27;, &#x27;2023-03-31T03:35:24.882000000&#x27;,\n",
" &#x27;2023-04-05T03:35:29.667000000&#x27;, &#x27;2023-04-10T03:35:26.745000000&#x27;,\n",
" &#x27;2023-04-15T03:35:27.482000000&#x27;, &#x27;2023-04-20T03:35:25.073000000&#x27;,\n",
" &#x27;2023-04-25T03:35:28.492000000&#x27;, &#x27;2023-04-30T03:35:26.887000000&#x27;,\n",
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" &#x27;2023-07-04T03:35:31.975000000&#x27;, &#x27;2023-07-09T03:35:31.850000000&#x27;,\n",
" &#x27;2023-07-14T03:35:31.327000000&#x27;, &#x27;2023-07-19T03:35:30.791000000&#x27;,\n",
" &#x27;2023-07-24T03:35:32.589000000&#x27;, &#x27;2023-07-29T03:35:31.826000000&#x27;,\n",
" &#x27;2023-08-03T03:35:31.242000000&#x27;, &#x27;2023-08-08T03:35:31.056000000&#x27;,\n",
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" &#x27;2023-08-23T03:35:30.964000000&#x27;, &#x27;2023-08-28T03:35:32.323000000&#x27;,\n",
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" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.072e+06 1.072e+06 ... 1.067e+06</div><input id='attrs-40c6666c-dcf3-4d1e-9cd8-66986c27ca1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40c6666c-dcf3-4d1e-9cd8-66986c27ca1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab3860ab-8b4e-42af-afb8-9244c3e7cd4c' class='xr-var-data-in' type='checkbox'><label for='data-ab3860ab-8b4e-42af-afb8-9244c3e7cd4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1072225., 1072215., 1072205., ..., 1066935., 1066925., 1066915.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.95e+05 5.95e+05 ... 6.033e+05</div><input id='attrs-6c2fdaa1-38b5-4518-a167-36e85e8bae0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c2fdaa1-38b5-4518-a167-36e85e8bae0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15954288-9f33-4899-a292-0e1286b647d7' class='xr-var-data-in' type='checkbox'><label for='data-15954288-9f33-4899-a292-0e1286b647d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([594975., 594985., 594995., ..., 603245., 603255., 603265.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-b03154d3-593d-42cf-a7e9-e92784222106' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b03154d3-593d-42cf-a7e9-e92784222106' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36c8e91c-5cac-41d9-b407-1f7553305cb7' class='xr-var-data-in' type='checkbox'><label for='data-36c8e91c-5cac-41d9-b407-1f7553305cb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4066f735-82e8-4111-af0c-54968a0fdc36' class='xr-section-summary-in' type='checkbox' ><label for='section-4066f735-82e8-4111-af0c-54968a0fdc36' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6ca67e49-fdd5-4a3a-ad37-03aea34fa4d8' class='xr-index-data-in' type='checkbox'/><label for='index-6ca67e49-fdd5-4a3a-ad37-03aea34fa4d8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-02 03:35:38.706000&#x27;, &#x27;2022-09-07 03:35:28.392000&#x27;,\n",
" &#x27;2022-09-12 03:35:36.984000&#x27;, &#x27;2022-09-17 03:35:28.396000&#x27;,\n",
" &#x27;2022-09-22 03:35:33.676000&#x27;, &#x27;2022-09-27 03:35:26.885000&#x27;,\n",
" &#x27;2022-10-02 03:35:33.797000&#x27;, &#x27;2022-10-07 03:35:23.874000&#x27;,\n",
" &#x27;2022-10-12 03:35:31.889000&#x27;, &#x27;2022-10-17 03:35:25.895000&#x27;,\n",
" &#x27;2022-10-22 03:35:28.478000&#x27;, &#x27;2022-10-27 03:35:25.671000&#x27;,\n",
" &#x27;2022-11-01 03:35:30.553000&#x27;, &#x27;2022-11-06 03:35:24.840000&#x27;,\n",
" &#x27;2022-11-11 03:35:30.080000&#x27;, &#x27;2022-11-16 03:35:26.282000&#x27;,\n",
" &#x27;2022-11-21 03:35:27.133000&#x27;, &#x27;2022-11-26 03:35:25.806000&#x27;,\n",
" &#x27;2022-12-01 03:35:26.747000&#x27;, &#x27;2022-12-06 03:35:23.575000&#x27;,\n",
" &#x27;2022-12-11 03:35:26.920000&#x27;, &#x27;2022-12-16 03:35:24.874000&#x27;,\n",
" &#x27;2022-12-21 03:35:24.727000&#x27;, &#x27;2022-12-26 03:35:25.874000&#x27;,\n",
" &#x27;2022-12-31 03:35:25.489000&#x27;, &#x27;2023-01-05 03:35:26.328000&#x27;,\n",
" &#x27;2023-01-10 03:35:24.897000&#x27;, &#x27;2023-01-15 03:35:22.879000&#x27;,\n",
" &#x27;2023-01-20 03:35:21.331000&#x27;, &#x27;2023-01-25 03:35:24.561000&#x27;,\n",
" &#x27;2023-01-30 03:35:24.703000&#x27;, &#x27;2023-02-04 03:35:25.086000&#x27;,\n",
" &#x27;2023-02-09 03:35:25.381000&#x27;, &#x27;2023-02-14 03:35:24.987000&#x27;,\n",
" &#x27;2023-02-24 03:35:26.862000&#x27;, &#x27;2023-03-01 03:35:23.929000&#x27;,\n",
" &#x27;2023-03-06 03:35:29.457000&#x27;, &#x27;2023-03-11 03:35:21.972000&#x27;,\n",
" &#x27;2023-03-16 03:35:30.684000&#x27;, &#x27;2023-03-21 03:35:25.016000&#x27;,\n",
" &#x27;2023-03-26 03:35:29.316000&#x27;, &#x27;2023-03-31 03:35:24.882000&#x27;,\n",
" &#x27;2023-04-05 03:35:29.667000&#x27;, &#x27;2023-04-10 03:35:26.745000&#x27;,\n",
" &#x27;2023-04-15 03:35:27.482000&#x27;, &#x27;2023-04-20 03:35:25.073000&#x27;,\n",
" &#x27;2023-04-25 03:35:28.492000&#x27;, &#x27;2023-04-30 03:35:26.887000&#x27;,\n",
" &#x27;2023-05-05 03:35:29.183000&#x27;, &#x27;2023-05-10 03:35:26.031000&#x27;,\n",
" &#x27;2023-05-15 03:35:30.428000&#x27;, &#x27;2023-05-20 03:35:28.932000&#x27;,\n",
" &#x27;2023-05-25 03:35:31.398000&#x27;, &#x27;2023-05-30 03:35:30.380000&#x27;,\n",
" &#x27;2023-06-04 03:35:30.790000&#x27;, &#x27;2023-06-09 03:35:30.281000&#x27;,\n",
" &#x27;2023-06-14 03:35:31.608000&#x27;, &#x27;2023-06-19 03:35:30.646000&#x27;,\n",
" &#x27;2023-06-24 03:35:30.720000&#x27;, &#x27;2023-06-29 03:35:30.713000&#x27;,\n",
" &#x27;2023-07-04 03:35:31.975000&#x27;, &#x27;2023-07-09 03:35:31.850000&#x27;,\n",
" &#x27;2023-07-14 03:35:31.327000&#x27;, &#x27;2023-07-19 03:35:30.791000&#x27;,\n",
" &#x27;2023-07-24 03:35:32.589000&#x27;, &#x27;2023-07-29 03:35:31.826000&#x27;,\n",
" &#x27;2023-08-03 03:35:31.242000&#x27;, &#x27;2023-08-08 03:35:31.056000&#x27;,\n",
" &#x27;2023-08-13 03:35:32.189000&#x27;, &#x27;2023-08-18 03:35:32.563000&#x27;,\n",
" &#x27;2023-08-23 03:35:30.964000&#x27;, &#x27;2023-08-28 03:35:32.323000&#x27;,\n",
" &#x27;2023-09-02 03:35:31.370000&#x27;, &#x27;2023-09-07 03:35:31.878000&#x27;,\n",
" &#x27;2023-09-12 03:35:30.073000&#x27;, &#x27;2023-09-17 03:35:30.006000&#x27;,\n",
" &#x27;2023-09-22 03:35:30.187000&#x27;, &#x27;2023-09-27 03:35:28.858000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8aabb03a-d5c1-448a-a960-273dfb5de9ea' class='xr-index-data-in' type='checkbox'/><label for='index-8aabb03a-d5c1-448a-a960-273dfb5de9ea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1072225.0, 1072215.0, 1072205.0, 1072195.0, 1072185.0, 1072175.0,\n",
" 1072165.0, 1072155.0, 1072145.0, 1072135.0,\n",
" ...\n",
" 1067005.0, 1066995.0, 1066985.0, 1066975.0, 1066965.0, 1066955.0,\n",
" 1066945.0, 1066935.0, 1066925.0, 1066915.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=532))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9894d75a-1334-4ebd-bbcb-90c5e8369399' class='xr-index-data-in' type='checkbox'/><label for='index-9894d75a-1334-4ebd-bbcb-90c5e8369399' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0, 595035.0,\n",
" 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0, 603235.0,\n",
" 603245.0, 603255.0, 603265.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f0281202-aee6-4a9f-be34-717d3a0e125c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0281202-aee6-4a9f-be34-717d3a0e125c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'NDVI' (time: 78, y: 532, x: 830)>\n",
"dask.array<truediv, shape=(78, 532, 830), dtype=float32, chunksize=(1, 532, 830), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-02T03:35:38.706000 ... 2023-09...\n",
" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 32648"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Tiến hành tính toán NDVI\n",
"ds1 = calculate_indices(result, index='NDVI', satellite_mission='s2')\n",
"ndvi = ds1[\"NDVI\"]\n",
"display(ndvi)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "bb7a152b-89e5-4c18-9103-6a9f6708bd80",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 48.9 ms, sys: 3.8 ms, total: 52.7 ms\n",
"Wall time: 51 ms\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "b3b09012600546c3a5237c44e593617d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox()"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%time\n",
"## tính ndvi theo tháng\n",
"average_ndvi = ndvi.resample(time='1M').mean().persist()\n",
"progress(average_ndvi)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "47fc921b-bcb6-463f-bdaf-a5a82970a73e",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# compute average_ndvi\n",
"average_ndvi = average_ndvi.compute()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "9b989a28-1524-471b-9a2b-51df2319620e",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# cấu hình vh vv file\n",
"name_vh = \"ThuanHoa/ThuanHoa_VH.tif\"\n",
"name_vv = \"ThuanHoa/ThuanHoa_VV.tif\"\n",
"\n",
"# load dữ liệu sen1\n",
"dsvh, dsvv = load_sen1(name_vh, name_vv)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "03c47481-7ef9-4efe-ae0a-7845595c2671",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from sklearn.preprocessing import PolynomialFeatures\n",
"from sklearn.linear_model import LinearRegression\n",
"from sklearn.ensemble import RandomForestRegressor\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "07acfddc-ab36-4ef4-9e72-d984f2180eb0",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"mask = ~np.isnan(average_ndvi)\n",
"X_train = np.stack([dsvh.values[mask], dsvv.values[mask]], axis=1)\n",
"y_train = average_ndvi.values[mask]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "876d87da-9121-4ef2-a41b-f647e0175689",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
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],
"text/plain": [
"LinearRegression()"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model = LinearRegression()\n",
"model.fit(X_train, y_train)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "854abc28-a490-4858-8951-03fd257c92e6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"X_pred = np.stack([dsvh.values[~mask], dsvv.values[~mask]], axis=1)\n",
"average_ndvi.values[~mask] = model.predict(X_pred)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "86f42685-0db7-4253-b02a-41df237ae4df",
"metadata": {},
"outputs": [],
"source": [
"average_ndvi."
]
}
],
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"display_name": "Python 3 (ipykernel)",
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