Terrestrial Sciences

Applications

 

Net Eco System 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.

Net primary productivity –GIMMS

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 CO2 exchange parameters between India terrestrial ecosystem and atmosphere at 5 km grids during 1981-2006. .

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 CO2 exchange parameters between India terrestrial ecosystem and atmosphere at 5 km grids during 1981-2006.