Extraction of Rainfall Erosivity in Liaoning Province by Integrating GPM Satellite and Ground Observation Data
In recent years,with the enhancement of human activities,the amount of soil erosion is increasing,which has a certain impact on the ecological environment.In order to improve the level of soil and water conservation,a fusion model based on GBDT algorithm was established to predict the spatial distribution information of rainfall erosivity in Liaoning Province based on the data of ground observation rainfall and environmental variables in Liaoning Province.The independent verification method was used to evaluate the prediction effect.The results show that the rainfall erosivity in Liaoning Province is between 3039 MJ·mm/(hm2·h·a)and 7041 MJ·mm/(hm2·h·a),showing a zonal decrease from south to north and from west to east.The prediction accuracy R2 of rainfall erosivity by GBDT algorithm is 0.89,which is higher than that of classical OK and IDW models.The research results can provide data support and methods for soil and water conservation.
GPM satellite dataprecipitation data of meteorological stationsGBDT algorithmrainfall erosivity
万方数据
维普
