Authors : Yu Ming, Lan Ting, Wang Qing-Qing and Gong-De Guo
Abstract: Water is an important resource that is indispensable in people’s daily life and production. There are water resource surveying and flood monitoring and disaster prevention and reduction. It is therefore necessary to acquire accurate space-time distribution data of water resources. Traditionally, fieldwork is limited to real application for its long measurement period and wasting a lot of human and material resources. Because of the development of remote sensing technology, new measurement techniques for the water resource investigation are provided herewith. The existing information extrapolation which is based on remote sensing data mainly relies on spectral characteristics of water body. In order to extract the information of the water body more conveniently and effectively, we propose an improved method of surface water extraction. We analyzed their feature by using Minjiang river estuary as the research object and landsat-5 TM imagery as experimental data source. Threshold Water Index (TWI) that is an effective water extraction method namely has been proposed on the basis of analyzing the surface reflectance of water and its background features. The experiment was applied in the water extraction at Haitan Island in Fujian and the experimental results illustrate this accuracy of TWI was satisfying (97.5%). TWI is therefore a very effective method and is more rapid than previous algorithm. TWT is well worth popularizing and applying for accurate space-time.
Yu Ming, Lan Ting, Wang Qing-Qing and Gong-De Guo, 2017. An Improvement Method of Surface Water Extraction Based on Remote Sensing Data. Journal of Engineering and Applied Sciences, 12: 1342-1346.