Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park
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 efficienc...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/116415 |
| _version_ | 1855534828569493504 |
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| author | Marandi, M. Parida, B. R. Ghosh, Surajit |
| author_browse | Ghosh, Surajit Marandi, M. Parida, B. R. |
| author_facet | Marandi, M. Parida, B. R. Ghosh, Surajit |
| author_sort | Marandi, M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace116415 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1164152025-05-20T05:45:26Z Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park Marandi, M. Parida, B. R. Ghosh, Surajit normalized difference vegetation index photosynthetically active radiation air temperature moisture leaf area index land use land cover national parks satellite observation moderate resolution imaging spectroradiometer models 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. 2022-07 2021-11-30T21:50:09Z 2021-11-30T21:50:09Z Journal Article https://hdl.handle.net/10568/116415 en Limited Access Springer Marandi, 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] |
| spellingShingle | normalized difference vegetation index photosynthetically active radiation air temperature moisture leaf area index land use land cover national parks satellite observation moderate resolution imaging spectroradiometer models Marandi, M. Parida, B. R. Ghosh, Surajit Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park |
| title | Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park |
| title_full | Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park |
| title_fullStr | Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park |
| title_full_unstemmed | Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park |
| title_short | Retrieving vegetation biophysical parameters and GPP [Gross Primary Production] using satellite-driven LUE [Light Use Efficiency] model in a national park |
| title_sort | retrieving vegetation biophysical parameters and gpp gross primary production using satellite driven lue light use efficiency model in a national park |
| topic | normalized difference vegetation index photosynthetically active radiation air temperature moisture leaf area index land use land cover national parks satellite observation moderate resolution imaging spectroradiometer models |
| url | https://hdl.handle.net/10568/116415 |
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