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GDAL (Geospatial Data Abstraction Library) is an open source raster spatial data conversion library under the X/MIT license. It utilizes an abstract data model to express the various file formats supported. It also has a range of command line tools for data conversion and processing.
Method 1: Download the whl file corresponding to the python version at the URL https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal. In the command line pip install whl file full path installation (windows mode). (Recommended learning: Python video tutorial)
Method 2:
Command line conda/pip search gdal View version , select the appropriate version (mine is 2.2.4), if not, use method one.
Command line conda/pip install gdal=version number, be careful to add the version number, otherwise an old version may be installed (available for windows/linux).
The gdal package is used to process raster data, and ogr is used to process vector data.
The following program is a simple application of gdal for raster processing.
from osgeo import gdal import numpy as np np.set_printoptions(threshold=np.inf)#使print大量数据不用符号...代替而显示所有 dataset = gdal.Open("E:/RS_data/caijian1214/caijian.tif") print(dataset.GetDescription())#数据描述 print(dataset.RasterCount)#波段数 cols=dataset.RasterXSize#图像长度 rows=(dataset.RasterYSize)#图像宽度 xoffset=cols/2 yoffset=rows/2 band = dataset.GetRasterBand(3)#取第三波段 r=band.ReadAsArray(xoffset,yoffset,1000,1000)#从数据的中心位置位置开始,取1000行1000列数据 band = dataset.GetRasterBand(2) g=band.ReadAsArray(xoffset,yoffset,1000,1000) band = dataset.GetRasterBand(1) b=band.ReadAsArray(xoffset,yoffset,1000,1000) import cv2 import matplotlib.pyplot as plt img2=cv2.merge([r,g,b]) plt.imshow(img2) plt.xticks([]),plt.yticks([]) # 不显示坐标轴 plt.show()
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