The row and column numbers of each pixel of multi-source grid data in the same area are the same, that is, the number of rows and columns are the same, and the pixel size is the same

Catalog

Problem description ：

ArcGIS tailoring

ArcGIS Multi value extraction to point

ENVI Resampling （Resize Data Parameters）

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Problem description ：

In multi-source grid data analysis , Multi source raster data often need data preprocessing （ Set the projection coordinate system → Resampling → Cutting and so on. ）, Make the row and column numbers of each pixel consistent .

When reading raster data using an array , The array size is the same , Multiple arrays imgData[x][y] The pixel coordinates represented are consistent .

Same crop , Multi source raster data The number of columns is consistent with the number of rows , And Pixel size (x,y) identical .

 

ArcGIS tailoring

Reference resources ：

Control the row and column numbers of several grid data to be completely consistent - roxy121314 - Blog Garden A brief introduction to the background ： There is a remote sensing image , The grid size is ENVI Resample in order to 90*90 Size pixels , Imported arcgis; Then the water system of the area should be , Convert vector data such as roads into grid data , Also resample to 90 size , Control the environment variable to make the grid look like https://www.cnblogs.com/Roxy121314/p/10386135.html tailoring ( Data management )—ArcMap | file https://desktop.arcgis.com/zh-cn/arcmap/latest/tools/data-management-toolbox/clip.htm

 

import arcpy
arcpy.env.workspace = r"D:\1\download\2012031\tif"
clipFeatures = (r"D:\1\2020\mainLand.shp")
desc = arcpy.Describe(clipFeatures)
extent = desc.extent
output_path = r"D:\1\download\2012031\result_tif_3.125"
rasterList = arcpy.ListRasters("*", "tif")
for raster in rasterList:
    out = output_path + '\\' + raster
    arcpy.Clip_management(raster, str(extent), out, "#", "#", "NONE", "MAINTAIN_EXTENT")
    print(raster)

ArcGIS Multi value extraction to point

Reference resources ：  Xiaxiaosheng , Chenjingjing , Wang Jiajia , etc. . China based on Stochastic Forest model PM2.5 Analysis of concentration influencing factors [J]. Environmental science ,2020,41(5):2057-2065. DOI:10.13227/j.hjkx.201910126.

ENVI Resampling （Resize Data Parameters）

envi Resampling can control the number of columns and rows , Praise