Geocarto International · 2016 · 46 citations · 54 references
Natural ResourcesEarth SciencesForestryForest ManagementRemote SensingTerrestrial EcologyForest CoverLand Cover Change DetectionLand Use Change DetectionRemote Sensing Change DetectionVegetation Change DetectionVegetation IndicesAbove-ground Biomass EstimationAboveground Carbon StocksBiomass Change EstimationBiomass Loss EstimationCarbon Sequestration PotentialForest Carbon Biomass EstimationSatellite-based Biomass EstimationVegetation Cover Change Detection
The changes in the land use and land cover (LULC), above ground biomass (AGB) and the associated above ground carbon (AGC) stocks were assessed in Lidder Valley, Kashmir Himalaya using satellite data (1980–2013), allometric equations and phytosociological data. Change detection analysis of LULC, comprising of eight vegetation and five non-vegetation types, indicated that 6% (74.5 km2) of the dense evergreen forest has degraded. Degraded forest and settlement increased by 20 and 52.8 km2, respectively. Normalized difference vegetation index was assessed and correlated with the field-based biomass estimates to arrive at best-fit models for remotely sensed AGB estimates for 2005 and 2013. Total loss of 1.018 Megatons of AGB and 0.5 Megatons of AGC was estimated from the area during 33-year period which would have an adverse effect on the carbon sequestration potential of the area which is already facing the brunt of climate change.
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