期刊
9TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2015
卷 22, 期 -, 页码 1205-1212出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.protcy.2016.02.001
关键词
Aswan High Dam Lake; Landsat; Image classification; Surface water extraction; Performance evaluation; RS/GIS
Aswan High Dam Lake (AHDL) is the major freshwater body supplying Egypt with water used for various purposes. This paper aims to detect the better technique for extraction of the water surface of AHDL. Eight techniques are tested using Landsat ETM+ image and their performances in extracting the surface water area are evaluated. The eight techniques include Supervised and Unsupervised image classification techniques, Water Ratio Index [WRI], Normalized Difference Vegetation Index [NDVI], Normalized Difference Water Index [NDWI], Modified Normalized Difference Water Index [MNDWI], Automated Water Extraction Index [AWEI], and Normalized Difference Moisture Index [NDMI]. The results illustrate the effectiveness of the unsupervised technique, as it gave an overall accuracy about 99.91%. It is recommended to apply this technique in areas with similar conditions to efficiently extract the surface water areas from Landsat ETM+ data. (C) 2016 The Authors. Published by Elsevier Ltd.
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