Cập nhật mã nguồn và file Colab Cache

2026-07-16 19:32:43 +07:00
parent 25969cb0f5
commit a258db54cd
69 changed files with 3377 additions and 645 deletions
@@ -0,0 +1,41 @@
+import new_import_ODC
+importlib = __import__('importlib')
+importlib.reload(new_import_ODC)
+from new_import_ODC import *
+import numpy as np
+
+date_range = ("2022-09-01", "2022-10-01")
+longtitude_range = (105.86, 105.94)
+latitude_range = (9.65, 9.69)
+coordinates = (longtitude_range, latitude_range)
+
+print("Loading S2...")
+data = load_data(None, date_range, longtitude_range, latitude_range)
+result = mask_clean(data)
+ds1 = calculate_indices(result, index="NDVI", satellite_mission="s2")
+ndvi = ds1["NDVI"]
+time_split = [
+    slice("2022-09-01", "2023-01-01"),
+    slice("2023-01-01", "2023-05-01"),
+    slice("2023-05-01", "2023-07-01"),
+    slice("2023-07-01", "2022-10-01"),
+]
+fill_nan_ndvi = fill_nan(ndvi, time_split)
+average_ndvi = fill_nan_ndvi.resample(time="1M").mean().compute()
+
+print("Loading S1...")
+dsvh, dsvv = load_data_sen1(None, date_range, coordinates)
+average_vv = calculate_average(dsvv, time_pattern='1M')
+average_vh = calculate_average(dsvh, time_pattern='1M')
+
+train = load_train_data("train/ST_training_data_updated_1130points_new.shp")
+point = train.iloc[0]
+
+ndvi_val = average_ndvi.sel(x=point.geometry.x, y=point.geometry.y, method='nearest').values
+vh_val = average_vh.sel(x=point.geometry.x, y=point.geometry.y, method='nearest').values
+vv_val = average_vv.sel(x=point.geometry.x, y=point.geometry.y, method='nearest').values
+
+print("NDVI shape:", ndvi_val.shape, "ndim:", ndvi_val.ndim)
+print("VH shape:", vh_val.shape, "ndim:", vh_val.ndim)
+print("VV shape:", vv_val.shape, "ndim:", vv_val.ndim)
+