ndvi

Purpose : The maximum value of NDVI year or month is synthesized by using ArcGIS's own tool cell statistics to achieve multiple raster layer maximum values.Tools : arctoolbox>>spatial Analyst Tools>>local>>cell Statistics Issue : The NDVI raster image value is a float floating point between -1~1, directly using the Cell statistics evaluates to an int binary graph with a value of 0 or 1, not a floating-point

The maximum synthesis (MVC) can be done in band math in Envi, which is b1>b2, but cannot be batched. This article is now in bulk in ArcGIS using Python code, such as the following:The MODIS NDVI data used is the monthly data after splicing and projection in MRT, one months has two periods, the data format is. tif, the format of the file name is: 20040101.1_km_16_days_ndvi.tif. 20040102.1_km_16_days_ndvi.tif represents the two-year data for January 200

\\" + "Mvc_" +str (i) + "a10" = "f:\\vegetation change\\data\\gimms data\\1mvc\\" + "mvc_" +str (i) + "ten" A11 = "f:\\vegetation Change\\data\\gimms data\\1mvc\\ "+" mvc_ "+str (i) +" one "A12 =" f:\\vegetation change\\data\\gimms data\\1mvc\\ "+" mvc_ "+ STR (i) + "12" out = "F:\\vegetation Change\\data\\gimms data\\2max\\max_" +str (i) Arcpy.gp.CellStatistics_sa ((a1,a2,a3,a4,a5,a6,a7 , A8,a9,a10,a11,a12), out, "MAXIMUM", "DATA") print (str (i) + "have done")ArcGIS Python implements the an

The maximum synthesis method (MVC) can be done in band math in Envi, B1>B2, but not batched; This article implements the Python code in bulk in ArcGIS, as follows:The MODIS NDVI data used is the monthly data after splicing and projection in MRT, one months has two periods, the data format is. tif, the format of the file name is: 20040101.1_km_16_days_ndvi.tif,20040102.1_km_16_ Days_ndvi.tif represents the two-year data for January 2004. This treatment

amsr-e dataset distributed by the US snow and Ice Data center. Online7. Spot vegetation data: is the data center cut online based on the global Spot VEGETATIONSMMR dataset distributed by Vito8. AVHRR Data Products: Ndvi products including Pathfinder (1981-2001) and Gimms (1981-2003), Lai data products for 1981-1995, and 1981-2000 Fpar. Online9. Spot Vegetation data products: including 1998-2007 1kmNDVI data products, 1998-2006 10 days NPP data produc

ArcGIS Python rename batch grid data, arcgispython I. Code [Python]View plaincopyprint? Import arcpy Arcpy. env. workspace = "F :\\ NDVI \\" Rasters = arcpy. ListRasters ("*", "grid ") For raster in rasters: Rename = "Re _" + raster Arcpy. Rename_management (raster, Rename, "RasterDataset ") Print (raster + "---->" + Rename) Print ("All done ") import arcpyarcpy.env.workspace = "F:\\NDVI\\"raster

One, the code[Python]View Plaincopyprint? Import arcpy Arcpy.env.workspace = "f:\\ndvi\\" Rasters = arcpy. Listrasters ("*","grid") for Raster inch rasters: Rename="re_"+raster arcpy. Rename_management (Raster, Rename, "Rasterdataset") Print (raster+"---->"+rename) Print ("All Done") Import arcpyarcpy.env.workspace = "f:\\ndvi\\" rasters = arcpy. Listrasters ("*", "grid") for raster in

synthesis of MODIS vegetation Index _ If you are beautiful _ Sina BlogHttp://blog.sina.com.cn/s/blog_8259d7090101rsc5.htmlMODIS HDF data file opening and geometric Correction Method Summary (page 1)Http://www.360doc.com/content/10/1029/11/3929720_64956151.shtmlInstallation and use instructions for MODIS reprojection Tool (MRT) _samen_ Sina BlogHttp://blog.sina.com.cn/s/blog_51d9bb8c0100fwi8.htmlIf the MODIS image wants mosaic, what software is needed to deal with it, ENVI software is OK. -Geosc

Atmospheric correction tool ( quac ) Remove the influence of some atmospheres, In the process of object-oriented green information extraction, the ndvi Iii. using envi The Face object tool ( feature Extraction " To do this, the tool is guided, easy to use, and has a real-time preview function. Because the high-resolution image data is generally large, in order to get the rules quickly. Select a part of the area as the study area to determi

/water boundaries. 4,3,2infrared false color, infrared color image. Provides a medium spatial resolution. In this combination, all vegetation is shown in red. This is the most commonly used band combination for remote sensing of vegetation, crops, land use and wetland analysis. 7,4,2suitable for temperate to arid areas. Provides maximum spectral diversity. Soil and vegetation moisture content analysis, inland water body positioning. The vegetation is shaded in green. 5,4,3distinction between urb

One, the codeImport arcpyarcpy.env.workspace = "f:\\ndvi\\" rasters = arcpy. Listrasters ("*", "grid") for raster in rasters: rename= "re_" +raster arcpy. Rename_management (Raster, Rename, "Rasterdataset") print ( raster+ "---->" +rename) print ("All done")Ii. description1. This processing is raster data and can also be used to process vector (shapefiles) and text files ( textfile) 2. Do not change the format of the data; 3. Can only be re

New Foldermkdir folder nameNew fileTouch file nameRenamingMV filename new file nameMove the/a directory to/b and rename to Cmv/a/b/cDelete a folderRM-RF folder nameDeleting FilesRm-f file nameQuerying files (folders)Find/-name ' filename 'Asterisks represent fuzzy searchFind/-name ' * filename * 'VI Querying file contents/query ContentVI Display line number: Set NuEnter: N, the delegate jumps to the nth row, such as: 68, jumps to line 68th.68Remove M to n rows: m,