arcgis python批处理
Arcgis自带python，可以用来批处理，平时处理时写了一些，也从网上copy了一些，这篇博客就用来共享一下几个批处理程序。相对来说，使用Arcgis自带的python进行批处理比较简单，主要就是在单个处理的程序上加个文件循环，就是加个目录读取的语句。
（1）ASCII转tiff
import sys,string,os
import arcpy
dir=””
files = os.listdir(dir)
for f in files:
if os.path.splitext(f)[1]==”.txt”:
Input_raster_file = dir + os.sep + f
Raster_Format = “TIFF”
basename = os.path.splitext(f)[0]
workspace = “E:\\2003\\TIFF”
Output_raster = workspace + os.sep + basename + “.tif”
arcpy.ASCIIToRaster_conversion(Input_raster_file, Output_raster, “INTEGER”)
print Output_raster
（2）等间距nc转tiff
# -*- coding: utf-8 -*-
import arcpy
import sys,string,os
from arcpy.sa import *
def NetCDF2Tiff(inNetCDFFile,toTIFFFile):
variable = “temp”
XDimension = “lon”
YDimension = “lat”
outRasterLayer = basename + “temp”
bandDimmension = “time”
dimensionValues = “”
valueSelectionMethod = “”
print “start”
arcpy.MakeNetCDFRasterLayer_md(inNetCDFFile, variable, XDimension, YDimension,
outRasterLayer, bandDimmension, dimensionValues,
valueSelectionMethod)
arcpy.CopyRaster_management(outRasterLayer, toTIFFFile)
print “finish”
dir = “”
workspace = “”
files = os.listdir(dir)
for f in files:
if os.path.splitext(f)[1]==”.nc”:
inNetCDFFile = dir + os.sep + f
basename = os.path.splitext(f)[0][40:46]
toTIFFFile = workspace + os.sep + basename + “.tif”
NetCDF2Tiff(inNetCDFFile,toTIFFFile)
（3）重采样
import arcpy
from arcpy import env
from arcpy.sa import *
arcpy.env.workspace = “”
rasters = arcpy.ListRasters(“*”, “tif”)
for raster in rasters:
print(raster)
out= “”+”resample”+raster
arcpy.Resample_management(raster, out, “0.462725 0.462725”, “CUBIC”)
print(“resample”+raster+” has done”)
print(“All done”)
（4）掩膜裁剪
import arcpy
from arcpy import env
from arcpy.sa import *
arcpy.CheckOutExtension(“spatial”)
arcpy.gp.overwriteOutput=1
arcpy.env.workspace = “”
rasters = arcpy.ListRasters(“*”, “tif”)
mask= “”
for raster in rasters:
print(raster)
out= “”+”clip_”+raster
arcpy.gp.ExtractByMask_sa(raster, mask, out)
print(“clip_”+raster+” has done”)
print(“All done”)
暂时就找到这几个，等后面写的时候再增加
转载自：https://blog.csdn.net/u012599377/article/details/85339932
