ESTIMATION OF BIOMASS AND CARBON POOL IN BARKOT FOREST RANGE, UK USING GEOSPATIAL TOOLS

• Main Authors: P. Attri, S. P. S. Kushwaha
• Format: Article
• Language: English
• Published: Copernicus Publications 2018-11-01
• Series: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Online Access: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-5/121/2018/isprs-annals-IV-5-121-2018.pdf

The forest ecosystem is an important carbon sink and source containing majority of the aboveground terrestrial organic carbon. Carbon management in forests is the global concern to mitigate the increased concentration of green house gases in the atmosphere. The present study estimated vegetation carbon pool and biophysical spectral modelling to correlate biomass with reflectance/ derivatives in Barkot Forest Range, Uttarakhand. The study was carried out using Cartosat-1, IRS-P6 LISS-IV MX, IRS LISS-III, Landsat 7 ETM satellite data and ground data collected from stratified random sampling. Forest type and forest crown density was mapped using resolution merged Cartosat-1 and LISS-IV imagery. Growing stock, biomass and carbon was calculated for the individual sample plots using inventory-based biomass assessment technique. Field-inventoried data was correlated with the surface reflectance and derivatives of it. Among the four vegetation types, viz. <i>Shorea robusta</i>, <i>S. robusta</i> mixed, <i>S. robusta Tectona grandis</i> mixed, <i>T. grandis</i> plantation, mixed plantation, Grassland and Agriculture/&thinsp;orchard, the <i>S.robusta</i> was found to be the dominant vegetation in the area, covering 55.86&thinsp;km² of the total area. The study revealed that the <i>S.robusta</i> with high density had the highest aboveground biomass (AGB) (t/ha) was found in <i>S.robusta</i> &gt;&thinsp;70% (530&thinsp;t&thinsp;ha^&minus;1), followed by <i>S.robusta</i> 40&ndash;70% (486&thinsp;t&thinsp;ha^&minus;1) and minimum was found in mixed plantation &lt;&thinsp;10% (101&thinsp;&thinsp;ha^&minus;1). The general trend showed the decrease in AGB with decrease of forest density in each forest type category. The average AGB of <i>S. robusta T. grandis</i> forest was found (308&thinsp;t&thinsp;ha^&minus;1&ndash;458&thinsp;t&thinsp;ha^&minus;1) due to the dominancy of <i>S. robusta</i> trees. The study highlighted the invaluable role of geospatial technology and field inventory for growing stock, biomass and carbon assessment.