Soil Moisture Inversion in Farmland Based on Landsat-8 Imagery

doi:10.11924/j.issn.1000-6850.casb2024-0178

Abstract

Abstract:

The rapid and real-time acquisition of soil moisture in a large range can provide powerful data support for dealing with drought. In this paper, three drought index models, namely perpendicular drought index (PDI), modified perpendicular drought index (MPDI) and temperature vegetation dryness index (TVDI), were constructed to discuss the accuracy and applicability of soil moisture inversion in the winter wheat planting area in Dingxing and Yixian of Hebei based on multi-spectral remote sensing data Landsat-8 and field measured soil moisture data. Three drought index models indicated that the study area was dry, and the spatial distribution of different drought indices was different, among which the difference between PDI and the other two drought indices was the biggest. All the three drought indices were negatively correlated with measured soil moisture, and MPDI, TVDI had obvious linear correlation with soil moisture. MPDI had the highest fitting degree and was used to invert the soil moisture. The inversion results showed that the soil moisture in the study area was relatively low, mainly ranging from 12% to 15%, and the spatial distribution characteristics of soil moisture were consistent with that of land cover. Our study indicated that the MPDI index had great potential for drought monitoring in the winter wheat planting area in winter.

Key words: winter wheat, Landsat-8, inversion, soil moisture, drought index, multi-spectral remote sensing, namely perpendicular drought index (PDI), modified perpendicular drought index (MPDI), temperature vegetation dryness index (TVDI), drought monitoring

WU Yingjie, ZHU Yongchao, KONG Xiangning. Soil Moisture Inversion in Farmland Based on Landsat-8 Imagery[J]. Chinese Agricultural Science Bulletin, 2024, 40(32): 129-134.

Figures/Tables 5

References 28

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干旱指数	拟合方程	R	RMSE/%
PDI	y=-15.361x+20.450	0.115	3.139
MPDI	y=-11.868x+14.557	0.618	2.485
TVDI	y=-11.014x+23.089	0.463	2.801

干旱指数	拟合方程	R	RMSE/%
PDI	y=-15.361x+20.450	0.115	3.139
MPDI	y=-11.868x+14.557	0.618	2.485
TVDI	y=-11.014x+23.089	0.463	2.801