p-ISSN: 0972-6268 Nature Environment and Pollution Technology (Print copies up to 2016) Vol. 19 No. 4 pp. 1537-1545 2020 An International Quarterly Scientific Journal e-ISSN: 2395-3454 Original Research Paper Originalhttps://doi.org/10.46488/NEPT.2020.v19i04.020 Research Paper Open Access Journal Applicability of the Surface Water Extraction Methods Based on China’s GF-2 HD Satellite in Ussuri River, Tonghe County of Northeast China Wenfeng Gong*, Tiedong Liu*†, Yan Jiang** and Philip Stott*** *College of Forestry, Hainan University, Haikou 570228, China **College of Hydraulic and Electrical Engineering, Heilongjiang University, Harbin 150086, China ***School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy 5371, Australia †Corresponding author: Tiedong Liu;
[email protected] ABSTRACT Nat. Env. & Poll. Tech. Website: www.neptjournal.com Surface water is the most important and common water resource on earth. Accurate and effective Received: 03-12-2019 mapping and detecting of surface water have been made possible by remote sensing technology, high- Revised: 20-12-2019 resolution satellite data, playing an important role in surface water monitoring and mapping, which has Accepted: 01-03-2020 become the current hot research for water information extraction in recent decades. Therefore, in this paper, we tested and analysed four models to extract water bodies using China’s GF-2 HD satellite (GF- Key Words: 2) image, including Normalized Difference Water Index (NDWI), Modified Shadow Water Index (MSWI), Surface water extraction Support Vector Machine (SVM) and Object-Oriented Method (OOM). The results showed applying GF-2 satellite water extraction models can map surface water with an overall accuracy of 0.8935, 0.9256, 0.9467 and Water index 0.9357, respectively.