VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATA
Vegetation responses to changing climate patterns need to be understood to devise adaptation strategy for a sustainable development, especially in the light of increasing climate related vulnerability. Dynamic Global Vegetation Models(DGVM) have the capacity and scope to develop understanding in thi...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2012-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/140/2011/isprsarchives-XXXVIII-8-W20-140-2011.pdf |
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| author | G. S. Pujar B. Harika M. S. R. Murthy V. K. Dadhwal |
| author_facet | G. S. Pujar B. Harika M. S. R. Murthy V. K. Dadhwal |
| author_sort | G. S. Pujar |
| collection | DOAJ |
| description | Vegetation responses to changing climate patterns need to be understood to devise adaptation strategy for a sustainable development,
especially in the light of increasing climate related vulnerability. Dynamic Global Vegetation Models(DGVM) have the capacity and
scope to develop understanding in this regard, due to their ability in simulating plant-vegetation-climate processes incorporating
bioclimatic variables. However, prior to take up modelling using a spatially explicit DGVM, it may be imminent to prioritize the area for
vulnerable contexts, so as to calibrate and validate the model optimally. Spatially explicit DGVMs require site level observations at
canopy and leaf level/soil strata level for parametrization and implementation. Satellite data in VNIR and thermal regimes provide scope
to understand the responses of various vegetation categories and enable to set up baseline addressing the foci of change as regions of
vulnerability. Study carried out Western Himalayan transect using MODIS enhanced vegetation index and land surface temperature
illustrates potential to differentiate areas that can be vulnerable due to warming trends disturbing cold to warm season energy level
transition. Relations of these indices were studied in different vegetation categories and modelled spatially to derive potential vulnerable
zones. Many sites showed high vulnerability while some sites showed distinct resilient behaviour by showing increase in EVI during
warming periods. Potential zones were studied further using a spatially explicit Dynamic Global Vegetation Model for site level
understanding. DGVM results in terms of biomass and carbon were studied to understand the trends in the vulnerable and resilient sites.
Detailed characterisation of DGVM based modelling is underway to further diagnose the vulnerability contexts. |
| first_indexed | 2024-12-22T21:06:33Z |
| format | Article |
| id | doaj.art-60e0f835690e43fab7590bf3fa349808 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-22T21:06:33Z |
| publishDate | 2012-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-60e0f835690e43fab7590bf3fa3498082022-12-21T18:12:40ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-08-01XXXVIII-8/W2014014410.5194/isprsarchives-XXXVIII-8-W20-140-2011VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATAG. S. Pujar0B. Harika1M. S. R. Murthy2V. K. Dadhwal3Forestry and Ecology Division, National Remote sensing Centre, ISRO, Dept of Space, Hyderabad 500625, IndiaJawaharlal Nehru Technological University, Kukatpally, Hyderabad: 500085, IndiaForestry and Ecology Division, National Remote sensing Centre, ISRO, Dept of Space, Hyderabad 500625, IndiaForestry and Ecology Division, National Remote sensing Centre, ISRO, Dept of Space, Hyderabad 500625, IndiaVegetation responses to changing climate patterns need to be understood to devise adaptation strategy for a sustainable development, especially in the light of increasing climate related vulnerability. Dynamic Global Vegetation Models(DGVM) have the capacity and scope to develop understanding in this regard, due to their ability in simulating plant-vegetation-climate processes incorporating bioclimatic variables. However, prior to take up modelling using a spatially explicit DGVM, it may be imminent to prioritize the area for vulnerable contexts, so as to calibrate and validate the model optimally. Spatially explicit DGVMs require site level observations at canopy and leaf level/soil strata level for parametrization and implementation. Satellite data in VNIR and thermal regimes provide scope to understand the responses of various vegetation categories and enable to set up baseline addressing the foci of change as regions of vulnerability. Study carried out Western Himalayan transect using MODIS enhanced vegetation index and land surface temperature illustrates potential to differentiate areas that can be vulnerable due to warming trends disturbing cold to warm season energy level transition. Relations of these indices were studied in different vegetation categories and modelled spatially to derive potential vulnerable zones. Many sites showed high vulnerability while some sites showed distinct resilient behaviour by showing increase in EVI during warming periods. Potential zones were studied further using a spatially explicit Dynamic Global Vegetation Model for site level understanding. DGVM results in terms of biomass and carbon were studied to understand the trends in the vulnerable and resilient sites. Detailed characterisation of DGVM based modelling is underway to further diagnose the vulnerability contexts.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/140/2011/isprsarchives-XXXVIII-8-W20-140-2011.pdf |
| spellingShingle | G. S. Pujar B. Harika M. S. R. Murthy V. K. Dadhwal VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATA |
| title_full | VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATA |
| title_fullStr | VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATA |
| title_full_unstemmed | VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATA |
| title_short | VULNERABILITY OF VEGETATION IN PARTS OF HIMALAYAS AND DYNAMIC GLOBAL VEGETATION MODELLING (DGVM) – STUDY USING VNIR AND THERMAL RESPONSES OF MODIS TIME SERIES DATA |
| title_sort | vulnerability of vegetation in parts of himalayas and dynamic global vegetation modelling dgvm ndash study using vnir and thermal responses of modis time series data |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/140/2011/isprsarchives-XXXVIII-8-W20-140-2011.pdf |
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