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基于NDVI分区的全国草地生态系统覆盖区土壤水分遥感反演
引用本文:杨 娜,郭兴国.基于NDVI分区的全国草地生态系统覆盖区土壤水分遥感反演[J].水土保持研究,2022,29(3):147-155.
作者姓名:杨 娜  郭兴国
作者单位:(1.济南市勘察测绘研究院, 济南 250100; 2.三峡大学 水利与环境学院, 湖北 宜昌 443002)
摘    要:为了建立土壤水分遥感反演模型,反演2016年全国草地生态系统土壤水分并分析其时空变化特征,通过结合表观热惯量(ATI)和温度植被干旱指数(TVDI)的混合模型反演2016年全国草地生态系统的土壤水分,并在实测数据与反演结果精度验证的基础上确定归一化植被指数(NDVI)阈值。结果表明:(1)NDVI≤0.2的像元区域,采用ATI模型反演精度较高; NDVI≥0.78的像元上,基于增强型植被指数(EVI)的TVDI反演精度较高; 0.2
关 键 词:土壤水分  ATI  TVDI  全国草地生态系统

Research for Remote Sensing Retrieval of Soil Moisture in Grassland Ecosystem in China Based on NDVI Partition
YANG Na,GUO Xingguo.Research for Remote Sensing Retrieval of Soil Moisture in Grassland Ecosystem in China Based on NDVI Partition[J].Research of Soil and Water Conservation,2022,29(3):147-155.
Authors:YANG Na  GUO Xingguo
Institution:(1.Jinan Geotechnical Investigation and Surveying Institute, Jinan 250100, China; 2.College of Hydraulic and Environment Engineering, China Three Gorges University, Yichang, Hubei 443002, China)
Abstract:The soil moisture of grassland ecosystem in China in 2016 was retrieved by using hybrid model with the combination of the apparent thermal inertia(ATI)and temperature vegetation drought index(TVDI), and the NDVI threshold was determined based on the accuracy verification of the measured data and inversion results. The remote sensing inversion model of soil moisture was established to retrieve the soil moisture of grassland ecosystem in China in 2016 and analyze its spatial-temporal variation characteristics. The results show that:(1)for NDVI≤0.2 pixels, the inversion accuracy of ATI is higher; for NDVI≥0.78 pixels, the inversion accuracy of EVI based TVDI is higher; 0.2
Keywords:soil moisture  apparent thermal inertia(ATI)  temperature vegetation dryness index(TVDI)  grassland ecosystem in China
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