基于吉林一号卫星数据的荒漠草原植被覆盖度遥感反演研究

Remote Sensing Inversion Study on Fractional Vegetation Coverage of Desert Grassland Based on JL1 Satellite Data

摘要: 本文基于吉林一号遥感卫星高空间分辨率数据，选择适用于荒漠草原的NDVI、MSAVI、RVI和PVI四种植被指数，结合地面调查数据，对牧户尺度植被覆盖度进行反演模型的构建和验证。通过对比分析得出，基于MSAVI反演模型优于NDVI、RVI和PVI；其中，4 × 4 m样方拟合精度最高，EA为48.49%，优于1 × 1 m和2 × 2 m样方。

Abstract: This paper is based on the high spatial resolution data of Jl1 remote sensing satellite. Four vegetation indices, NDVI, MSAVI, RVI and PVI, suitable for desert grasslands, were selected and combined with the ground survey data to construct and verify vegetation coverage inversion model in herds-scale. Through comparative analysis, the inversion model based on MSAVI is superior to NDVI, RVI and PVI. Among them, 4 × 4 m quadrat had the highest fitting accuracy, with EA of 48.49%, which was better than 1 × 1 m and 2 × 2 m quadrat.