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0 configuration and environment
- System: win7 × 64
- python: 3.6.4 ×64
- Package: numpy, GDAL (see installation method GDAL installation )
Loading data and split 1
Reading raster data using GDAL (remote sensing data .tif):
image = gdal.Open(tifpath) # 读取整个遥感影像，多行多列多层
band = image.GetRasterBand(n) # 得到第n层的数据
band_array = band.ReadAsArray(0,0,lie,hang) # 转化为数组形式
Layer 2 overlay data
nir, red, blue vegetation standard false color composite, can be visually vegetation growing state, for which we need to read and superposition of three layers:
layer3 = np.array((nir, red, blue)) # nir是第一层， red是第二层，blue是第三层
run.tif_write(out_path, layer3, p, g) # 输出即可
run.tif_write is the package I wrote it myself output of remote sensing images, please refer to the specific use of GDAL