完整代碼如下
# import the hydrafloods and ee package
import hydrafloods as hf
import ee
ee.Initialize()
# specify start and end time as well as geographic region to process
start_time = "2019-10-05"
end_time = "2019-10-06"
region = ee.Geometry.Rectangle([104, 11.5, 106, 12.5 ])
# get the Sentinel-1 collection
# the hf.dataset classes performs the spatial-temporal filtering for you
s1 = hf.datasets.Sentinel1(region, start_time, end_time)
# apply a water mapping function to the S1 dataset
# this applies the "Edge Otsu" algorithm from https://doi.org/10.3390/rs12152469
water_imgs = s1.apply_func(
hf.thresholding.edge_otsu,
initial_threshold=-14,
thresh_no_data=https://bbs.csdn.net/topics/-20,
edge_buffer=300
)
# take the mode from multiple images
# since this is just imagery from one day, it will simply mosaic the images
water_map = ee.Image(water_imgs.collection.mode())
# export the water map
hf.geeutils.export_image(
water_map,
region,
"r'C:/Users/Lenovo/AppData/Local/Programs/Python/Python37/water_map_example'",
scale=30,
)
報錯如圖
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