Estimation of Vegetation Carbon Storage and Analysis of Spatial Characteristics in West Lake Scenic Area,Hangzhou
The objective of this study was to accurately estimate the carbon stock of forest vegetation in the West Lake Scenic Area of Hangzhou,to provide a scientific basis for evaluating the carbon sequestration value of urban forest vegetation.Taking the images from Sentinel-2A as the data sources,various relevant feature factors were extracted,including single-band,vegetation index,principal component analysis,texture,and terrain factors.Combining with field survey data,a multivariate stepwise regression method was employed to construct a model for inverting the vegetation carbon storage in the study area,estimating the aboveground carbon storage of vegetation,and summarizing and analyzing the spatial distribution char-acteristics of carbon density.The results showed that 1)the carbon density of vegetation in sample plots followed a normal distribution on cumulative frequency,allowing for linear regression analysis.The con-structed model achieved an R2 of 0.716,with RMSE of 18.03 t/hm2,meeting the accuracy requirements and providing reliable prediction results.2)The carbon storage of forest vegetation in the West Lake Scenic Area was 275 632.82 t,the carbon density of vegetation was mainly concentrated in 25.00-125.00 t/hm2,with an average carbon density of 65.50 t/hm2.The area with higher carbon density was concentrated near the West Lake,and the overall distribution showed a characteristics of high around and low in the middle.3)The carbon density of the forest vegetation decreased with the increase of elevation and slope.The carbon densities of shady slope(77.86±23.02)t/hm2 and semi-shady slope(73.02±21.86)t/hm2 were higher than those of semi-sunny slope(68.10±21.47)t/hm2 and sunny slope(67.84±21.28)t/hm2.These research findings serve as theoretical references for assessing the carbon sequestration capacity and conducting health assessments of forest ecosystems in the West Lake Scenic Area.
West Lake Scenic AreaSentinel-2Aforest vegetationcarbon storagespatial distribution
万方数据
维普
