1. Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring Assessing vegetation coverage at the Sao Paulo State scale: a tool for aiding the decision making process Fabio Enrique Torresan Embrapa Satelitte Monitoring

2. S10 NDVI temporal series from SPOT Vegetation Maximum Value Composition 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 Step 1 Step 2 one MapList for each month Digital Vector Data (shapefile) Vector Map of Sao Paulo municipalities boundaries one MapList with 24 NDVI mensal maps NDVI sub maps limited by São Paulo State boundaries Raster Map of Sao Paulo municipalities boundaries one NDVI map for each month Attribute Table Step 3 Step 4 Step 5 Step 6 Step 7 Output Crosstable Step 8 Vegetation Coverage Maps for each month Step 9 Average Vegetation Coverage Maps for each month and for each municipality where, VC is the vegetation coverage NDVI S is the average of the minimal NDVI value of the study area = 0.192 NDVI V is the average NDVI value of pure vegetation or the average of the maximum value of NDVI in the study area = 0.863 Step 10

3. Example of a vegetation coverage map for January 2009

4. Example of the average vegetation coverage map for the municipalities April 2009

5. Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring This methodological proposal needs to be validated with in-situ data; The thresholds of the NDVI values used to calculate the vegetation coverage (NDVI S and NDVI V ) 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. Conclusions

6. Ministry of Agriculture, Livestock and Food Suply Embrapa Satellite Monitoring Fabio Enrique Torresan torresan@cnpm.embrapa.br www.cnpm.embrapa.br