thêm chức năng train trên odc predict trên planetary

2026-03-04 23:03:04 +07:00
parent ebb8e6e4b3
commit 8a1e7bb22e
39 changed files with 15297 additions and 711 deletions
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "30681e56",
+   "metadata": {},
+   "source": [
+    "# 🧪 Test Planetary Computer Connection\n",
+    "\n",
+    "Notebook này test kết nối và load dữ liệu từ Microsoft Planetary Computer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e32c8eca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.insert(0, '/media/x79/2A7D-FAA0/remote-sensing')\n",
+    "\n",
+    "from load_data_no_odc import load_sentinel2_stac, load_sentinel1_stac\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "print(\"✅ Module imported successfully\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "501dd8ef",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Small test area (1 month, small bbox)\n",
+    "bbox = (105.8, 9.5, 106.0, 9.7)  # Small area in Mekong Delta\n",
+    "date_range = (\"2023-01-01\", \"2023-01-31\")  # 1 month only\n",
+    "\n",
+    "print(f\"Test parameters:\")\n",
+    "print(f\"  Bbox: {bbox}\")\n",
+    "print(f\"  Date: {date_range}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "187e2c1a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Test Sentinel-2\n",
+    "print(\"\\n\" + \"=\" * 70)\n",
+    "print(\"Testing Sentinel-2 L2A\")\n",
+    "print(\"=\" * 70)\n",
+    "\n",
+    "data_s2 = load_sentinel2_stac(\n",
+    "    bbox=bbox,\n",
+    "    date_range=date_range,\n",
+    "    bands=['red', 'green', 'blue', 'nir08', 'SCL'],\n",
+    "    resolution=60  # Lower resolution for faster test\n",
+    ")\n",
+    "\n",
+    "if data_s2 is not None:\n",
+    "    print(f\"\\n✅ SUCCESS! Sentinel-2 loaded\")\n",
+    "    print(f\"   Dims: {dict(data_s2.dims)}\")\n",
+    "    print(f\"   Vars: {list(data_s2.data_vars)}\")\n",
+    "else:\n",
+    "    print(\"\\n❌ Failed to load Sentinel-2\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e688f3b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Test Sentinel-1\n",
+    "print(\"\\n\" + \"=\" * 70)\n",
+    "print(\"Testing Sentinel-1 RTC\")\n",
+    "print(\"=\" * 70)\n",
+    "\n",
+    "data_s1 = load_sentinel1_stac(\n",
+    "    bbox=bbox,\n",
+    "    date_range=date_range,\n",
+    "    bands=['vv', 'vh'],\n",
+    "    resolution=60  # Lower resolution for faster test\n",
+    ")\n",
+    "\n",
+    "if data_s1 is not None:\n",
+    "    print(f\"\\n✅ SUCCESS! Sentinel-1 loaded\")\n",
+    "    print(f\"   Dims: {dict(data_s1.dims)}\")\n",
+    "    print(f\"   Vars: {list(data_s1.data_vars)}\")\n",
+    "else:\n",
+    "    print(\"\\n❌ Failed to load Sentinel-1\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "211796a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Visualize if data loaded successfully\n",
+    "if data_s2 is not None:\n",
+    "    print(\"\\n📊 Visualizing Sentinel-2 RGB composite...\")\n",
+    "    \n",
+    "    # Select first timestep\n",
+    "    rgb = data_s2[['red', 'green', 'blue']].isel(time=0)\n",
+    "    \n",
+    "    # Plot\n",
+    "    fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
+    "    \n",
+    "    rgb['red'].plot(ax=axes[0], cmap='Reds')\n",
+    "    axes[0].set_title('Red band')\n",
+    "    \n",
+    "    rgb['green'].plot(ax=axes[1], cmap='Greens')\n",
+    "    axes[1].set_title('Green band')\n",
+    "    \n",
+    "    rgb['blue'].plot(ax=axes[2], cmap='Blues')\n",
+    "    axes[2].set_title('Blue band')\n",
+    "    \n",
+    "    plt.tight_layout()\n",
+    "    plt.show()\n",
+    "    \n",
+    "    print(\"✅ Visualization complete!\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d4e29a09",
+   "metadata": {},
+   "source": [
+    "## ✅ Results\n",
+    "\n",
+    "Nếu cả 2 tests đều pass:\n",
+    "- ✅ Kết nối Planetary Computer OK\n",
+    "- ✅ Load Sentinel-2 OK\n",
+    "- ✅ Load Sentinel-1 OK\n",
+    "- ✅ Sẵn sàng sử dụng cho training!\n",
+    "\n",
+    "Next step: Sử dụng `01.train_DecisionTree_PlanetaryComputer.ipynb` để train model"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}