Journal of Lanzhou University · 2011 · 10 citations · 0 references
Natural SciencesEarth SciencesEcologyLandscape Change DetectionRemote SensingTerrestrial EcologyLand Cover Change DetectionLand Surface MonitoringRemote Sensing Change DetectionVegetation Change DetectionVegetation IndicesVegetation MonitoringGrassland MonitoringPower ModelRemote Sensing Biomass EstimationRemote Sensing Of BiomassSatellite-based Biomass EstimationSatellite-based Vegetation MonitoringVegetation Cover Trend AnalysisVegetation Dynamics Modeling
Using leave-one-out cross validation method,a suitable inversion model was established in Qinghai-Tibet plateau based on 1970 ground observed data combined with MODIS EVI and NDVI data.Then the spatialdistribution pattern of grassland dry biomass during 2001-2010 was simulated and grassland biomass dynamicsfor nearly 10 years was analyzed.The results show that NDVI is superior to EVI in Qinghai-Tibet plateau,theexponential model has the highest accuracy for calculating fresh and dry biomass,but the power model is bestfor calculating the coverage.The fresh,dry biomass and coverage inversion models based on MODIS-NDVI datawere established.The grassland aboveground biomass shows an increasing trend but it is not obvious.Marsh,mountain meadow and alpine meadow have a larger monthly change.