基于TM数据的土壤湿度指数预测半干旱地区浅层地下水的研究——以朝阳地区为例  

Study on Predicting Shallow Groundwater in Semi-arid Area Based on Soil Humidity Index of TM Data: Taking Chaoyang City as A Study Case

作　　者：郑璞[1,2] 邓正栋[1] 王大庆[1] 许春华[1] 邓非凡[1] 

机构地区：[1]解放军理工大学国防工程学院 [2]中国人民解放军96528部队

出　　处：《水文》2015年第5期23-29,共7页Journal of China Hydrology

基　　金：国家高技术研究发展计划(2012AA062601-1);总装陆装科订部项目(zlc5012);地质调查局项目(12120113099800)

摘　　要：为更方便、有效的勘察干旱半干旱地区的浅层地下水信息,以辽宁省朝阳市区域为研究区,以2004~2010年TM多光谱数据为基础,利用修正归一化水体差异指数提取了多年的地表土壤湿度信息。通过对土壤湿度信息分级并对植被、岩石以及地表水体进行掩模处理,得到了土壤湿度信息的分级图。同时,为了比较土壤湿度较大地区地下水的赋存信息,进行了实地考察并对比水文地质资料,认为基本与遥感所得结论一致,证明了该方法在半干旱地区的可行性与有效性。In order to get the water information quickly in arid and semi-arid areas, Chaoyang City of Liaoning Province was taken as a study area. The soil humidity information was acquired by taking use of MNDWI and based on TM multi-spectral data. The soil humidity information classification map was made by classify the soil information with vegetation, rock and surface water being processed. At the same time, in order to compare the groundwater information of the area with higher soil humidity, investigation was executed to compare the the hydrological and geological data. The basic conclusion was consistent with the remote sensing, so as to prove that this method is feasibility and validity in arid and semi-arid areas.

关 键 词：遥感 修正化水体归一指数 浅层地下水 

分 类 号：S127[农业科学—农业基础科学]