Retrieving vegetation biophysical parameters and GPP using satellite-driven LUE model in a National Park

Moumita Marandi, Bikash Ranjan Parida () and Surajit Ghosh
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Moumita Marandi: Central University of Jharkhand
Bikash Ranjan Parida: Central University of Jharkhand
Surajit Ghosh: Central University of Jharkhand

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2022, vol. 24, issue 7, No 5, 9118-9138

Abstract: Abstract The terrestrial biosphere plays an active role in governing the climate system by regulating carbon exchange between the land and the atmosphere. Analysis of vegetation biophysical parameters and gross primary production (GPP) makes it convenient to monitor vegetation's health. A light use efficiency (LUE) model was employed to estimate daily GPP from satellite-driven data and environmental factors. The LUE model is driven by four major variables, namely normalized difference vegetation index (NDVI), photosynthetically active radiation (PAR), air temperature, and moisture for which both satellite-based and ERA5-Land data were applied. In this study, the vegetation health of Dibru Saikhowa National Park (DSNP) in Assam has been analyzed through vegetation biophysical and biochemical parameters (i.e., NDVI, EVI, LAI, and chlorophyll content) using Sentinel-2 data. Leaf area index (LAI) varied between 1 and 5.2, with healthy forests depicted LAI more than 2.5. Daily GPP was estimated for January (winter) and August (monsoon) 2019 for tropical evergreen and deciduous forest types. A comparative analysis of GPP for two seasons has been performed. In January, GPP was found to be 3.6 gC m−2 day−1, while in August, GPP was 5 gC m−2 day−1. The outcome of this study may be constructive to forest planners to manage the National Park so that net carbon sink may be attained in DSNP.

Keywords: LAI; PAR; fPAR; Chlorophyll; LUE model; Dibru Saikhowa National Park (DSNP) (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10668-021-01815-0

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