Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach
Monitoring the changes in forest-cover and understanding the dynamics of the forest is becoming increasingly important for the sustainable management of forest ecosystems. This paper uses temporal MODIS Vegetation Continuous Field (MODIS-VCF) to monitor the tree cover change in the Indian region ove...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/89143 |
| _version_ | 1855515605343404032 |
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| author | Amarnath, Giriraj Babar, S. Murthy, M.S.R. |
| author_browse | Amarnath, Giriraj Babar, S. Murthy, M.S.R. |
| author_facet | Amarnath, Giriraj Babar, S. Murthy, M.S.R. |
| author_sort | Amarnath, Giriraj |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Monitoring the changes in forest-cover and understanding the dynamics of the forest is becoming increasingly important for the sustainable management of forest ecosystems. This paper uses temporal MODIS Vegetation Continuous Field (MODIS-VCF) to monitor the tree cover change in the Indian region over a period of 6 years (2000–2005). Pixel-based linear regression model is developed to identify rate of deforestation and fragmentation at landscape level. The regression parameters viz., slope, offset and variance are used to identify threshold between forest and non-forest classes. The classification algorithm resulted into change area, no change area, positive change and negative changes. MODIS-VCF raw product of 2005 was validated using the field data and showed a coefficient of determination (R2 = 0.85) between percent tree cover and individual plot wise canopy cover information. The results were overlaid with UNEP protected area boundary. On a long-term basis, the forest cover change was monitored using medium spatial resolution (Landsat and IRS) satellite data to identify the rate of deforestation and fragmentation at landscape level. The developed approach is efficient and effective for regional monitoring of forest cover change. It could be automated for regular usage and monitoring. |
| format | Journal Article |
| id | CGSpace89143 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace891432025-02-19T14:29:17Z Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach Amarnath, Giriraj Babar, S. Murthy, M.S.R. remote sensing models vegetation satellite imagery forest fragmentation forest ecosystems trees canopy time series analysis deforestation landscape climate change Monitoring the changes in forest-cover and understanding the dynamics of the forest is becoming increasingly important for the sustainable management of forest ecosystems. This paper uses temporal MODIS Vegetation Continuous Field (MODIS-VCF) to monitor the tree cover change in the Indian region over a period of 6 years (2000–2005). Pixel-based linear regression model is developed to identify rate of deforestation and fragmentation at landscape level. The regression parameters viz., slope, offset and variance are used to identify threshold between forest and non-forest classes. The classification algorithm resulted into change area, no change area, positive change and negative changes. MODIS-VCF raw product of 2005 was validated using the field data and showed a coefficient of determination (R2 = 0.85) between percent tree cover and individual plot wise canopy cover information. The results were overlaid with UNEP protected area boundary. On a long-term basis, the forest cover change was monitored using medium spatial resolution (Landsat and IRS) satellite data to identify the rate of deforestation and fragmentation at landscape level. The developed approach is efficient and effective for regional monitoring of forest cover change. It could be automated for regular usage and monitoring. 2017-12 2017-10-31T08:45:11Z 2017-10-31T08:45:11Z Journal Article https://hdl.handle.net/10568/89143 en Open Access Elsevier Amarnath, Giriraj; Babar, S.; Murthy, M. S. R. 2017. Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach. The Egyptian Journal of Remote Sensing and Space Sciences, 12p. (Online first) doi: 10.1016/j.ejrs.2017.05.004 |
| spellingShingle | remote sensing models vegetation satellite imagery forest fragmentation forest ecosystems trees canopy time series analysis deforestation landscape climate change Amarnath, Giriraj Babar, S. Murthy, M.S.R. Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach |
| title | Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach |
| title_full | Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach |
| title_fullStr | Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach |
| title_full_unstemmed | Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach |
| title_short | Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach |
| title_sort | evaluating modis vegetation continuous field products to assess tree cover change and forest fragmentation in india a multi scale satellite remote sensing approach |
| topic | remote sensing models vegetation satellite imagery forest fragmentation forest ecosystems trees canopy time series analysis deforestation landscape climate change |
| url | https://hdl.handle.net/10568/89143 |
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