Abstract

The landsat ETM has shown great potential in agricultural mapping and monitoring due to its advantages over traditional receive procedures in terms of cost effectiveness and timeliness in availability of information over larger areas and ingredient the temporal dependence of multitemporal image data to identify the changing pattern of vegetation cover and consequently enhance the interpretation capabilities Integration of multi-sensor and multitemporal satellite data effectively improves the temporal attribute and accuracy of the results Since 2000 NASA s MODIS sensors onboard Terra satellite has provided composite data at 16- days interval to produce estimates of gross primary production GPP that compare well with direct measurements The MODIS Enhanced Vegetation Index EVI and Normalized Difference Vegetation Index NDVI which are independent of climatic drivers also appears as valuable surrogate for estimation of seasonal patterns in GPP