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Assessing vegetation coverage at the Sao Paulo State scale: a tool for aiding the decision making process. Fabio Enrique Torresan Embrapa Satelitte Monitoring. Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring. S10 NDVI temporal series from SPOT Vegetation.
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Assessing vegetation coverage at the Sao Paulo State scale: a tool for aiding the decision making process Fabio Enrique Torresan Embrapa Satelitte Monitoring Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring
S10 NDVI temporal series from SPOT Vegetation Step 1 MaximumValueComposition one NDVI map for eachmonth Digital Vector Data (shapefile) oneMapList for eachmonth Step 2 Step 3 Attribute Table Step 5 Step 4 1. Importing NDVI temporal series: GeoNetCast ToolBox\ SPOT VGT Latin America \NDVI 2. Creating a MapList : File\ Create\ MapList 3. Extracting the Mensal Maximum Value Composition: Statistics\ MapList\ MapList Statistics\ Maximum 4. Creating a MapList : File\Create\ MapList 5. Importing digital vector data file: Import\ Import Via GDAL 6. Creating a SubMap: Spatial Reference Operations\ Sub Map 7. Converting a vector map to a raster map: Rasterize\ Polygon to Raster 8. Crossing NDVI values with the municipalities map 9. Estimating vegetation coverage: Raster Operations\ MapList Calculation 10. Crossing Average Vegetation Maps for each month with the municipalities map oneMapListwith 24 NDVI mensal maps Raster Map of Sao Paulo municipalities boundaries Vector Map of Sao Paulo municipalities boundaries Step 7 Step 6 NDVI sub mapslimitedbySão Paulo Stateboundaries Step 8 Output Crosstable Step 9 VegetationCoverageMaps for eachmonth Step 10 AverageVegetationCoverageMaps for eachmonthand for eachmunicipality where, VC is the vegetation coverage NDVIS is the average of the minimal NDVI value of the study area = 0.192 NDVIV is the average NDVI value of pure vegetation or the average of the maximum value of NDVI in the study area = 0.863
Example of the average vegetation coverage map for the municipalities April 2009
Conclusions • This methodological proposal needs to be validated with in-situ data; • The thresholds of the NDVI values used to calculate the vegetation coverage (NDVIS and NDVIV) may be changed depending on the amount of data available and also on the area of interest; • This methodology can be adapted to different objectives, like crop and biomass monitoring and for biodiversity monitoring and environmental management of protected areas. In this case, other geographical limits of analysis need to be adopted, like the extents of a certain land use, like the limits of a watershed or the limits of parks and protected areas. • The ILWIS software still presents certain limitations that needs to be solved in a near future. One frequent problem is when creating sub maps, the resulting maps are renamed in an automatic way that sometimes causes a lot of confusion for the analysis of the results. Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring
Fabio Enrique Torresan torresan@cnpm.embrapa.br www.cnpm.embrapa.br Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring