Spatial Model for Estimation of Carbon Stock and Carbon Di Oxide Sequestration by Indian Forest through Landsat Imageries |
Author(s): |
| M. Vinay , Center for Geoinformatics Technology, Manasagangothri, University of Mysore, Mysuru, Karnataka, India; Ramu, Center for Geoinformatics Technology, Manasagangothri, University of Mysore, Mysuru, Karnataka, India; B.Mahalingam, Center for Geoinformatics Technology, Manasagangothri, University of Mysore, Mysuru, Karnataka, India |
Keywords: |
| Remote Sensing, Landsat, Forest Carbon Stock, ArcGIS, Geoprocessing, Toolbox |
Abstract |
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This study discusses about the spatial modelling to assess the total carbon stock and amount of Carbon-di-Oxide sequestrated by forest cover from atmosphere. The software ArcGIS were used to create a spatial model based on modelbuilder utility. The existing regression model and formulas were employed such as above ground biomass, tasselled cap transformation, brightness index, wetness index, below ground biomass, total accumulated biomass, total carbon stock and total carbon di oxide sequestered. These were integrated in model builder utility. Then output toolbox were utilised for further carbon footprint studies. |
Other Details |
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Paper ID: SPIP008 Published in: Volume : 1, Issue : 1 Publication Date: 01/09/2015 Page(s): 1-3 |
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