Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park

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dc.creatorMarandi, M.
dc.creatorParida, B. R.
dc.creatorGhosh, Surajit
dc.date2022-07
dc.date2021-11-30T21:50:09Z
dc.date2021-11-30T21:50:09Z
dc.date.accessioned2026-06-27T18:38:22Z
dc.descriptionThe 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.
dc.identifierhttps://hdl.handle.net/10568/116415
dc.identifier.urihttp://hdl.handle.net/123456789/161449
dc.languageen
dc.publisherSpringer
dc.rightsLimited Access
dc.sourceMarandi, M.; Parida, B. R.; Ghosh, Surajit. 2022. Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park. Environment, Development and Sustainability, 24(7):9118-9138. [doi: https://doi.org/10.1007/s10668-021-01815-0]
dc.subjectnormalized difference vegetation index
dc.subjectphotosynthetically active radiation
dc.subjectair temperature
dc.subjectmoisture
dc.subjectleaf area index
dc.subjectland use
dc.subjectland cover
dc.subjectnational parks
dc.subjectsatellite observation
dc.subjectmoderate resolution imaging spectroradiometer
dc.subjectmodels
dc.titleRetrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park
dc.typeJournal Article

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