Forest and Grassland Resources Research >
Inversion Research of Forest Stock Volume Using the Red Edge Bands of Sentinel-2A
Received date: 2022-02-08
Revised date: 2022-04-13
Online published: 2022-06-13
Accurate and efficient estimation of forest stock volume is useful for measuring forest health and evaluating the carbon sequestration capacity of forests. The red-edge band is sensitive to vegetation chlorophyll changes,but its validity in forest stock volume estimation needs further verification. To explore the feasibility of red-edge band in estimating forest stock volume,the Xingning district of Nanning City was used as the study area,and different sets of modeling variables were constructed based on Sentinel-2A images to extract common band reflectance,red-edge band reflectance,common vegetation index and red-edge vegetation index,and the forest stock volume was estimated by multiple linear regression and random forest algorithm. The forest resources planning and design survey results data was used as the actual measurements for model accuracy evaluation. By comparing the modeling effects of the models and variable sets,the influence of the red-edge band on the estimation accuracy of the forest stock volume was analyzed. The results showed that the red-edge vegetation index was significantly correlated with the forest stock volume (P<0.01),and the forest stock volume estimation accuracy of the red-edge vegetation index variable set was significantly better than the other variable sets in different variable sets; among the two estimation models,the random forest model was more effective,and the accuracy of the random forest model was better than that of the multiple linear regression model in all variable sets. The random forest model using the variable set 4 achieved the highest estimation accuracy with R2,RMSE,and RRMSE of 0.66,28.63,and 23.54%,respectively. It can be concluded from the study that the red-edge band information of Sentinel-2A can be effectively used for remote sensing estimation of forest stock volume,which can provide a reference for efficient monitoring and management of forest resources by remote sensing.
Key words： forest stock volume; random forest; Sentinel-2A; red edge band; vegetation index
Zhihao LONG , Peng LUO , Dengping XU , Zhen LI , Huabin DAI . Inversion Research of Forest Stock Volume Using the Red Edge Bands of Sentinel-2A[J]. Forest and Grassland Resources Research, 2022 , 0(2) : 126 -134 . DOI: 10.13466/j.cnki.lyzygl.2022.02.017
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