| Study on the surface soil water in Mu Us Desert using binary regression models of MTVDI and DDI |
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| DOI：10.7606/j.issn.1000-7601.2019.02.30 |
| Key Words: surface soil water MTVDI DDI moisture change Mu Us Desert |
| Author Name | Affiliation | | WANG Si-nan | Inner Mongolia Agricultural University, Inner Mongolia, Hohhot 010018, China | | LI Rui-ping | Inner Mongolia Agricultural University, Inner Mongolia, Hohhot 010018, China | | HAN Gang | Inner Mongolia Agricultural University, Inner Mongolia, Hohhot 010018, China | | TIAN Xin | Inner Mongolia Agricultural University, Inner Mongolia, Hohhot 010018, China | | WANG Yao-qiang | Inner Mongolia Agricultural University, Inner Mongolia, Hohhot 010018, China | | HU Yong-ping | Inner Mongolia Agricultural University, Inner Mongolia, Hohhot 010018, China |
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| Abstract: |
| By using the Temperature Vegetation Drought Index (MTVDI) and Desertification Index (DDI) and two sets of Landsat data of Mu Us Desert collected from April and September of 2016, we modeled surface soil water status and compared with the measured soil moisture values. The simulated soil moisture content diagram was divided into four categories based on the analysis of surface soils water conditions in the two periods. The results showed that: (1) In April, the R2 values of the MTVDI index values and the measured soil moisture contents from 0 to 10 cm, 10 to 20 cm and 20 to 30 cm were 0.656, 0.646 and 0.637, respectively, which were higher than the value of R2 of 0.457, 0.436 and 0.431 respectively in September. (2) The combined modeling of DDI and MTVDI was a better binary linear regression model to monitor the water content of 0~10 cm in the soil, with an average relative error of 10.95%. (3) In April, low water content of 5%~10% of the soil moisture in topsoil was observed in about 6 256 km2 of land, which accounted for over 53.72% of the total area. Therefore, local water resource management should be enhanced. |
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