利用python中GDAL读写tif文件_python gdal 读取 超大图片

废话不多说，直接上代码

读取tif:

from osgeo import gdal
import sys
def Read_img2array(img_file_path):
    """
    读取栅格数据，将其转换成对应数组
    img_file_path: 栅格数据路径
    :return: 返回投影，几何信息，和转换后的数组
    """
    dataset = gdal.Open(img_file_path)  # 读取栅格数据
    print('处理图像波段数总共有：', dataset.RasterCount)
    # 判断是否读取到数据
    if dataset is None:
        print('Unable to open *.tif')
        sys.exit(1)  # 退出
    projection = dataset.GetProjection()  # 投影
    geotrans = dataset.GetGeoTransform()  # 几何信息
    im_width = dataset.RasterXSize #栅格矩阵的列数
    im_height = dataset.RasterYSize #栅格矩阵的行数
    im_bands = dataset.RasterCount #波段数
   # 直接读取dataset
    img_array = dataset.ReadAsArray()
    return im_width,im_height,im_bands,projection, geotrans, img_array

数组写入tif:

import numpy as np
from osgeo import gdal
#tiff_file为tif,im_data为数组
def Write_img2array(tiff_file, im_proj, im_geotrans, data_array):
    if 'int8' in data_array.dtype.name:
        datatype = gdal.GDT_Int16
    elif 'int16' in data_array.dtype.name:
        datatype = gdal.GDT_Int16
    else:
        datatype = gdal.GDT_Float32
 
    if len(data_array.shape) == 3:
        im_bands, im_height, im_width = data_array.shape
    else:
        im_bands, (im_height, im_width) = 1,data_array.shape 
 
    driver = gdal.GetDriverByName("GTiff")
    dataset = driver.Create(tiff_file, im_width, im_height, im_bands, datatype)
 
    dataset.SetGeoTransform(im_geotrans)
    dataset.SetProjection(im_proj)
 
    if im_bands == 1:
        dataset.GetRasterBand(1).WriteArray(data_array)
    else:
        for i in range(im_bands):
            dataset.GetRasterBand(i+1).WriteArray(data_array[i])
 
    del dataset

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