前言：主要介绍了遥感数据的镶嵌，其中包括使用ArcGis如何完成镶嵌，如何使用Arcpy和GDAL完成镶嵌。

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0.ArcGis镶嵌

是ArcGis中的非常重要的一个功能，具体Arcgis中的使用可以参考以下博客。
《Arcgis使用教程（五）ARCGIS空间数据处理之影像镶嵌（拼接）与裁剪_arcgis镶嵌工具在哪里-CSDN博客》

1.Arcpy实现镶嵌

1.1 Arcpy实现单个镶嵌

其中32_BIT_FLOAT表示浮点型，16_BIT_UNSIGNED表示整型，MAXIMUM表示最大值合成，MEAN表示均值合成。

# encoding:utf-8
import os
from arcpy.management import MosaicToNewRasterif __name__ == "__main__":file = unicode(r"E:\AAWORK\work\b1\20220816", "utf-8")out = unicode(r"E:\AAWORK\work\202208合成\bb16arcpy", "utf-8")os.chdir(file)names = os.listdir(file)list1 = []for name in names:list1.append(file+"\\"+name)print list1# mosaic = MosaicToNewRaster(list1, out, "202208_b20.tif", pixel_type="32_BIT_FLOAT",number_of_bands=1, mosaic_method="MAXIMUM")# mosaic = MosaicToNewRaster(list1, out, "20220816_b4.tif", pixel_type="16_BIT_UNSIGNED",number_of_bands=1, mosaic_method="MAXIMUM")mosaic = MosaicToNewRaster(list1, out, "20220816_mean_b1.tif", pixel_type="16_BIT_UNSIGNED",number_of_bands=1, mosaic_method="MEAN")

1.2 Arcpy实现批量镶嵌

在1.1的基础上增加了一个for遍历实现批量处理

# encoding:utf-8
import os
from arcpy.management import MosaicToNewRasterif __name__ == "__main__":name_time = '202108'list_band_name = ["b1","b2","b3","b4","b6","b7","b19"]out = r"E:\AAWORK\work\{0}合成\bb31mean".format(name_time)out = unicode(out, "utf-8")for band_name in list_band_name:file = r"E:\AAWORK\work\{0}\{1}".format(band_name,name_time)file = unicode(file, "utf-8")os.chdir(file)names = os.listdir(file)list1 = []for name in names:list1.append(file+"\\"+name)file_name = "{0}_mean_{1}.tif".format(name_time,band_name)mosaic = MosaicToNewRaster(list1, out, file_name, pixel_type="16_BIT_UNSIGNED",number_of_bands=1, mosaic_method="MEAN")# mosaic = MosaicToNewRaster(list1, out, file_name, pixel_type="32_BIT_FLOAT",number_of_bands=1, mosaic_method="MEAN")print file_name

2.GDAL实现镶嵌

借助GDAL中的ReprojectImage方法实现镶嵌

import os
from osgeo import gdal
from osgeo import gdalconstdef get_data_list(file_path, out=""):list1 = []  # 文件的完整路径if os.path.isdir(file_path):fileList = os.listdir(file_path)if out != "":for f in fileList:out_data = out + "\\" + fout_data = out_data.replace(".HDF", "_ndvi.tif")list1.append(out_data)else:for f in fileList:pre_data = file_path + '\\' + f  # 文件的完整路径list1.append(pre_data)return list1if __name__ == '__main__':inputfile_path = r"E:\AAWORK\work\b19\202208"output_tif = r"E:\AAWORK\work\202208合成\bb16\20220801-16_b19.tif"input_tiffs = get_data_list(inputfile_path)# 打开第一个TIFF文件以获取参考信息ref_ds = gdal.Open(input_tiffs[0], gdalconst.GA_ReadOnly)driver = gdal.GetDriverByName("GTiff")# 创建输出TIFF文件output_ds = driver.Create(output_tif, ref_ds.RasterXSize, ref_ds.RasterYSize, 1, gdalconst.GDT_Int32)output_ds.SetProjection(ref_ds.GetProjection())output_ds.SetGeoTransform(ref_ds.GetGeoTransform())# 逐一读取和镶嵌TIFF文件for input_tiff in input_tiffs:input_ds = gdal.Open(input_tiff, gdalconst.GA_ReadOnly)band = input_ds.GetRasterBand(1)# 镶嵌到输出文件并采用最大值法gdal.ReprojectImage(input_ds, output_ds, None, None, gdalconst.GRA_Max)# 释放内存input_ds = None# 关闭输出文件output_ds = Noneprint("TIFF文件已镶嵌到 %s，采用最大值法。" % output_tif)