The geographical position of the Yellow River Delta is unique and there is a sharp contradiction between the supply and the demand of water resources. In order to study its groundwater distribution, the authors adopted MODIS satellite remote sensing data to measure soil moisture and groundwater level. The relative soil moisture was estimated by using temperature vegetation dryness index (TVDI) and apparent thermal inertia (ATI) methods. The correlation between the soil moisture at different depths and the groundwater level was analyzed, which helped to get the linear equations and calculate the groundwater depth distribution. A comparison with the measured groundwater level data shows that it is feasible to retrieve groundwater distribution by using MODIS data, and 10 cm is the best depth for the inversion of relative soil water content and groundwater level in the study area. In case when the soil moisture data are lacking, we can estimate the groundwater depth distribution by using the factors which can reflect the relative soil water content.
罗浩, 王红, 施长惠. 黄河三角洲地区地下水埋深遥感反演[J]. 国土资源遥感, 2013, 25(3): 145-152.
LUO Hao, WANG Hong, SHI Changhui. Retrieving groundwater in Yellow River Delta area using remote sensing. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 145-152.
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