Haibo Liu1, Jiuhe Shi1, Fan Yu2
1School of Environment Engineering, Beijing Jiaotong University, Beijing, China
2Beijing University of Civil Enginering and Architecture, Beijing, China
Soil moisture is a very important index parameter in the field of hydrology and meteorology, which plays a very important role in the development of agriculture. Large scale monitoring and retrieval of soil moisture is the main component of agricultural research and ecological environment assessment. The region of the soil water environment is one of the essential parameters in examining the land surface process model. Therefore, remote sensing inversion of soil moisture is a very convincing research topic, and it is also the boundary field of remote sensing technology application research, which is one of the global recognized research problems. With the development of remote sensing technology and GIS, GPS and 3S integration and other related disciplines, not only can the large-scale real-time monitoring of soil moisture dynamics be carried out, but also the accuracy of soil moisture inversion has been greatly improved. Looking back on the development of several decades, several remote sensing methods of soil moisture retrieval have appeared, and these methods have been well verified and applied in corresponding areas.
Remote Sensing Retrieval, Soil Moisture, Drought, Visible Light
Haibo Liu, Jiuhe Shi, Fan Yu. Study on the Method of Retrieving Surface Soil Moisture in Western Semi-arid Area by Remote Sensing. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 1: 19-24. https://doi.org/10.25236/IJFET.2022.040104.
 Yu Lifeng, Wu yundeji, Ulan Tuya, et al. Remote sensing retrieval of soil surface moisture based on sentinel-2 data. Inner Mongolia Agricultural Science and technology, 2018, 046 (006): 120-124.
 Laba, Zhuoga, Chen Tao. Study on Remote Sensing Inversion Model of soil moisture in northern Tibet. Soil, 2017, 049 (001): 171-176.
 Xu Pei, Zhang Chao. Research progress of remote sensing retrieval of soil moisture. Forestry resources management, 2015 (04): 153-158 + 162.
 Zhang Qing, Zhou Kefa, Zhao Qingzhan, et al. Study on remote sensing inversion method of regional soil moisture. Xinjiang geology, 2008 (01): 110-119.
 Xiao bin, Sha Jinming. Overview of remote sensing retrieval methods for soil moisture. Remote sensing information (6): 94-98.
 Yan Feng, Qin Zhihao, Li Maosong, et al. Research progress of remote sensing retrieval of soil moisture in agricultural drought monitoring. Journal of natural disasters, 2006 (06): 118-125.
 Wang Kun, Yan Denghua, Zhou Demin, et al. Remote sensing retrieval of soil moisture in Dongliao River Basin Based on TS/ NDVI// International Conference on remote sensing. 2010.
 Zhang Xianfeng, Zhao jiepeng, Liu Yu. An improved retrieval model of soil moisture by microwave remote sensing. Progress in Geographical Sciences, 2013 (01): 79-87.
 Li Chunliang, Liu Wenhui. Soil environmental quality assessment in Baiyin City, Gansu Province. Geophysical and geochemical exploration, 2012 (6): 1014-1019.
 Cai Lianghong, Ding Jianli. Remote sensing retrieval of soil moisture based on improved vegetation index. Geography of arid regions, 2017, 40 (006): 1248-1255.