【小代码片】GDAL - 批量图像重采样

import os
from osgeo import gdal


def resize(input, output, factor):
    # 适用于下采样
    in_ds = gdal.Open(input)
    out_rows = int(in_ds.RasterYSize / factor)
    out_columns = int(in_ds.RasterXSize / factor)
    num_bands = in_ds.RasterCount

    gtiff_driver = gdal.GetDriverByName('GTiff')
    out_ds = gtiff_driver.Create(output,
                                 out_columns, out_rows, num_bands)

    out_ds.SetProjection(in_ds.GetProjection())
    geotransform = list(in_ds.GetGeoTransform())
    geotransform[1] *= factor
    geotransform[5] *= factor
    out_ds.SetGeoTransform(geotransform)

    data = in_ds.ReadRaster(
        buf_xsize=out_columns, buf_ysize=out_rows)
    out_ds.WriteRaster(0, 0, out_columns, out_rows, data)
    out_ds.FlushCache()
    for i in range(num_bands):
        out_ds.GetRasterBand(i + 1).ComputeStatistics(False)

    out_ds.BuildOverviews('average', [2, 4, 8, 16])
    del out_ds


def getFileName(path):
    # 获取指定目录下的指定后缀的文件名
    f_list = os.listdir(path)
    out_list = []
    for i in f_list:
        if os.path.splitext(i)[1] == '.tif':
            out_list.append(i)
    return out_list


if __name__ == '__main__':
    root_dir = 'F:/Datasets/NEON_BLAN_2019/IMG_AHE/'
    outdir = 'F:/Datasets/NEON_BLAN_2019/IMG_0.8/'

    tif_list = getFileName(root_dir)
    for name in tif_list:
        pth = os.path.join(root_dir, name)

        out_pth = os.path.join(outdir, name)
        resize(pth, out_pth, factor=1.6)

factor 是像元变化的倍数