[1]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(03):147-155.
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Research for Remote Sensing Retrieval of Soil Moisture in Grassland Ecosystem in China Based on NDVI Partition
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 03
Page number:
147-155
Column:
Public date:
2022-04-20
- Title:
- Research for Remote Sensing Retrieval of Soil Moisture in Grassland Ecosystem in China Based on NDVI Partition
- Keywords:
- soil moisture; apparent thermal inertia(ATI); temperature vegetation dryness index(TVDI); grassland ecosystem in China
- CLC:
- TP751
- DOI:
- -
- 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<NDVI<0.78 pixels, the inversion effect of NDVI based TVDI is better;(2)the soil moisture in 10 cm layer of grassland in China was significantly different on temporal and spatial scale; the lowest value(0～10%)appeared in Qinghai, Tibet, Xinjiang and Inner Mongolia, and the highest value distributed in southern provinces; in terms of temporal distribution, the soil moisture in 10 cm layer of grassland concentrated in 0～40%; in spring and winter, the soil moisture content is less(0～60%), the highest was observed in summer, most of the pixels concentrated in 30%～80%, followed by autumn, the pixels concentrated in 0～70%. The precision of soil moisture retrieved by the established hybrid model is relatively high in this paper, we provide reference for the selection of soil moisture remote sensing retrieval model under different vegetation cover, will have important practical value for accurately monitoring soil moisture in a large area. The precision of soil moisture retrieval is an urgent problem to be solved in the current research.
- References:
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Last Update:
2022-04-20