Terrestrial Sciences

Net primary productivity – MODIS

The Carnegie-Ames-Stanford Approach (CASA) terrestrial ecosystem model is implemented for simulating long-term monthly Net Primary Productivity (NPP), Net Ecosystem Productivity (NEP), Soil Respiration, Soil Organic Content and associated CO2exchange parameters between India terrestrial ecosystem and atmosphere at 5 km grids during 2001-2014.

This model is driven by time varying normalized difference vegetation index (NDVI), climate parameters (air-temperature, precipitation, solar radiation) and land cover and soil attribute maps. Besides that a number biome-specific parameters (such as Light Use Efficiency, C/N ratio) in the model are tuned to the values for accounting regional heterogeneity of the ecosystem response accurately. NPP and NEP products were analyzed for understanding seasonal, inter-annual and climatic variability of these parameters over India and published. This is the second edition product of NPP &NEP. It is simulated from 2001-2014 and the NDVI data is derived from MODIS in place of the GIMMS NDVI in the first edition.

Net Primary Productivity derived from MODIS datasets is hosted on Bhuvan-NPP-MODIS

Select NICES Project – Terrestrial Sciences – Net Primary productivity – GIMMS. Technical Document(hyper link :Net Productivity)