39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
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import rasterio
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from rasterio.warp import transform
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import matplotlib.pyplot as plt
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import glob
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import os
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def get_bounds_lonlat(dataset):
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# 直接用元数据获取边界
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left, bottom, right, top = dataset.bounds
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# 四角顺序：左下、左上、右上、右下
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xs = [left, left, right, right]
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ys = [bottom, top, top, bottom]
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# 转为经纬度
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lons, lats = transform(dataset.crs, 'EPSG:4326', xs, ys)
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return list(zip(lons, lats))
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if __name__ == "__main__":
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tif_dir = "test_geosat1_imgs"
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pattern = os.path.join(tif_dir, "Jilin*.tif")
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all_bounds = []
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for tif in glob.glob(pattern):
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with rasterio.open(tif) as ds:
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corners_lonlat = get_bounds_lonlat(ds)
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all_bounds.append((os.path.basename(tif), corners_lonlat))
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plt.figure(figsize=(10, 10))
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for name, corners in all_bounds:
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# 闭合多边形
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corners_closed = corners + [corners[0]]
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lons, lats = zip(*corners_closed)
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plt.plot(lons, lats, marker='o', label=name)
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for lon, lat in corners:
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plt.text(lon, lat, f'({lon:.4f},{lat:.4f})', color='red', fontsize=8)
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plt.xlabel("Longitude")
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plt.ylabel("Latitude")
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plt.title("Jilin* 影像边界经纬度分布")
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plt.legend()
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plt.grid(True)
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plt.show()
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