在python中使用GDAL读取，修改和编写Geotiff

我正在尝试学习使用Python GDAL绑定和numpy进行遥感图像处理的绳索。作为首次尝试，我正在读取Landsat8 geotiff文件，进行简单的操作并将结果写入新文件。下面的代码看起来工作正常，除了原始栅格转储在输出文件中，而不是转储在操纵的栅格中。

欢迎提出任何意见或建议，但要特别注意为何未在结果中显示操纵的栅格。

import os
import gdal

gdal.AllRegister()

file = "c:\~\LC81980242015071LGN00.tiff"
(fileRoot, fileExt) = os.path.splitext(file)
outFileName = fileRoot + "_mod" + fileExt

ds = gdal.Open(file)
band = ds.GetRasterBand(1)
arr = band.ReadAsArray()

[cols, rows] = arr.shape
arr_min = arr.Min()
arr_max = arr.Max()
arr_mean = int(arr.mean())

arr_out = numpy.where((arr < arr_mean), 10000, arr)

driver = gdal.GetDriverByName("GTiff")
outdata = driver.Create(outFileName, rows, cols, 1, gdal.GDT_UInt16)
outband = outdata.GetRasterBand(1)
outband.WriteArray(arr_out)
outdata = None

print arr_min
> 0
print arr_max
> 65535
print arr_mean
> 4856

我在Windows 7 32位计算机上使用Python 2.7.1。

您的脚本缺少ds.FlushCache方法，该方法将在修改结束时将内存中的内容保存到磁盘。参见下面示例的更正版本。请注意，我还添加了两行来设置投影和geotransform作为输入

import os
import gdal

file = "path+filename"
ds = gdal.Open(file)
band = ds.GetRasterBand(1)
arr = band.ReadAsArray()
[cols, rows] = arr.shape
arr_min = arr.min()
arr_max = arr.max()
arr_mean = int(arr.mean())
arr_out = numpy.where((arr < arr_mean), 10000, arr)
driver = gdal.GetDriverByName("GTiff")
outdata = driver.Create(outFileName, rows, cols, 1, gdal.GDT_UInt16)
outdata.SetGeoTransform(ds.GetGeoTransform())##sets same geotransform as input
outdata.SetProjection(ds.GetProjection())##sets same projection as input
outdata.GetRasterBand(1).WriteArray(arr_out)
outdata.GetRasterBand(1).SetNoDataValue(10000)##if you want these values transparent
outdata.FlushCache() ##saves to disk!!
outdata = None
band=None
ds=None