Research on Shallow Groundwater Information Extraction Based on Data Fusion
YU De-hao 1,2， LONG Fan 1， FANG Hong-bin 3， HAN Tian-cheng 1
1. Engineering Research Institute, Shenyang Military Area Command, Shenyang 110162, China； 2. 65056 Troops, Tieling 112000,China； 3. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
Aimed at improving the accuracy and efficiency of shallow groundwater exploration and opening up a new way to seek groundwater by remote sensing, this paper presents a new fusion algorithm based on Principal Component Analysis (PCA) and Wavelet Transformation (WT) by using Landsat-7 ETM data (spatial resolution being 30 m) and Envisat-1 ASAR data (Wide Swath Mode, spatial resolution being 150 m) as the main fusion data. According to the new fusion algorithm, anomaly information of shallow groundwater was successfully extracted. In combination with field investigation, geophysical exploration and drilling, the forecasting results of rating I, II and III were in accordance with the actual state, and rich shallow groundwater was found. It is thus concluded that the method has some feasibility and practicability, and can serve as a new technique for rapid exploration of groundwater in the future.
于德浩, 龙凡, 方洪宾, 韩天成. 基于数据融合的浅层地下水提取技术研究[J]. 国土资源遥感, 2010, 22(3): 114-119.
YU De-Hao, LONG Fan, FANG Hong-Bin, HAN Tian-Cheng. Research on Shallow Groundwater Information Extraction Based on Data Fusion. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(3): 114-119.
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2010, Vol. 22 
