Evaluating agricultural and nonagricultural carbon fixation over India using remote sensing data

Ramesh S. Hooda; D. G. Dye; Ryosuke Shibasaki

doi:10.1117/12.463508

17 March 2003 Evaluating agricultural and nonagricultural carbon fixation over India using remote sensing data

Ramesh S. Hooda, D. G. Dye, Ryosuke Shibasaki

Proceedings Volume 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV; (2003) https://doi.org/10.1117/12.463508
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

NASA/NOAA Pathfinder AVHRR Land (PAL) 10 day composited NDVI data with a spatial resolution of 8 km was used to estimate carbon-fixation and biomass over Indian territory. The study area was classified into agricultural and non-agricultural based upon the NDVI-climatological modeling technique. The Production Efficiency Model (PEM), which decomposits productivity into independent parameters, was used to evaluate the Net Primary Productivity (NPP). The NDVI data for the three years was used to estimate fraction of PAR absorbed (fAPAR) based upon the relationship provided by SAIL model. Incident PAR (IPAR) data set for India was extracted from the monthly global IPAR data set already generated using UV reflectivity data. The IPAR data when combined with the fAPAR data provided absorbed PAR (APAR). APAR was converted to NPP using the mean PAR conversion efficiency values calculated based upon literature survey. The NPP was finally converted to biomass and carbon-fixation. It was observed that about 50 per cent of the carbon-fixation and consequently biomass production over India is through agricultural crops. This appears to be quite substantial compared to the global scenario. Annual variations in carbon-fixation have been explained by changing cropping seasons whereas the inter-annual variations by the anomalies in the monsoon in the region.

Citation Download Citation

Ramesh S. Hooda, D. G. Dye, and Ryosuke Shibasaki "Evaluating agricultural and nonagricultural carbon fixation over India using remote sensing data", Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003); https://doi.org/10.1117/12.463508

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available