长汀县多分辨率植被指数与植被覆盖度遥感监测OA

[Objective]This study aims to identify the optimal remote sensing data scheme for extracting fractional vegetation cover(FVC)in soil and water conservation monitoring in southern hilly regions and to improve the accuracy of soil erosion model parameters.[Methods]Changting County,Fujian Province,was selected as the study area.Based on remote sensing imagery at six resolutions(2,10,16,30,250,and 500 m)acquired in April 2022 and 3 cm-resolution UAV data collected in September for validation,FVC was calculated for five vegetation indices-NDVI,EVI2,NDMVI,TAVI,and SEVI-using the pixel dichotomy model.A systematic comparison was conducted from three aspects:Spatial distribution characteristics,topographic correction performance,and accuracy validation.[Results]The FVC at 2 m resolution exhibited an overall lower value range and significant noise,whereas the stability of FVC at 30 m and coarser resolutions decreased due to mixed-pixel effects.The 10 m resolution achieved the best balance between spatial detail preservation and noise control.Validation using UAV multispectral data showed that FVC derived from 10 m NDVI and NDMVI achieved the highest accuracy,with both R2 values of 0.193 and MAE of 0.175,outperforming other resolutions.NDMVI exhibited stable topographic correction performance across multiple resolutions;however,the visual difference in the topographic correction performance for the 10 m NDVI was minimal.Considering algorithmic simplicity,general applicability,and processing efficiency,the latter showed better overall suitability.[Conclusion]The 10 m Sentinel-2 an effective balance between spatial detail retention and noise suppression.It is an optimal option for operational FVC extraction in soil and water conservation monitoring in southern hilly regions,and provides reliable support for soil erosion model parameterization and regional ecological monitoring.