Monitoring of Chlorophyll Content of Vegetation in Coal Mining Area in Northern Shaanxi Based on PROSAIL Model and Sentinel-2 Data
Taking the Daliuta mining area in northern Shaanxi as the study area,this paper explores the dynamic monitoring method of vegetation chlorophyll content in coal mining area.Firstly,the applicability of the PROSAIL model to typical vegeta-tion such as plum and wild cherry in the mining area was analyzed.Then,a lookup table was established based on the PROSAIL radiative transfer model,and the chlorophyll content of typical vegetation in the mining area was retrieved based on a regularized cost function.The inversion results of the PROSAIL model were verified by the inversion results of SNAP software and ground-measured data.Finally,the spatial distribution of vegetation chlorophyll content in the Daliuta mining area from 2016 to 2019 was obtained by inversion of the constructed model.The results show that the average absolute deviation between the simulated results of the PROSAIL model and the measured spectrum was not more than 0.016,and the accuracy can meet the inversion of vegetation parameters;the R2,RMSE and RRMSE of chlorophyll content of typical vegetation retrieved by PROSAIL model and measured data were 0.679,1.926 and 4.625％,respectively,which were significantly better than those retrieved by the SNAP module.The spatiotemporal variation of chlorophyll content in the Daliuta mining area was consistent with the actual vegetation ecological restoration and land use cover type.The study results can provide technical support for chlorophyll inversion and eco-logical restoration evaluation.
万方数据
维普
