Atmospheric Correction Methods for GF-1 WFV1 Data in Hazy Weather
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RESEARCH ARTICLE
Atmospheric Correction Methods for GF-1 WFV1 Data in Hazy Weather Zheng Wang1,2,3 • Junshi Xia4 • Lihui Wang5 • Zhihua Mao2,3 • Qun Zeng6,7 Liqiao Tian8 • Liangliang Shi9
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Received: 19 September 2016 / Accepted: 18 April 2017 Ó Indian Society of Remote Sensing 2017
Abstract Increasing hazy weather in the eastern area of China limits the potential application of high-resolution satellite data and poses a huge challenge for the atmospheric correction of remote sensing images. Consequently, it is necessary to find the most suitable atmospheric correction method under hazy condition. In this study, five kinds of atmospheric correction models, including 6S, COST, FLAASH, QUAC, and ATCOR2, are applied to the GaoFen-1 Wild Field Camera (GF-1 WFV1) data in the eastern area of China, and examined by both quantitative & Zhihua Mao [email protected] 1
School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
2
Collaborative Innovation Center for the South China Sea Studies, Nanjing University, Nanjing 210023, China
3
States Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 36 Bochu North Road, Hangzhou 310012, China
4
Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan
5
Institute of Geodesy and Geophysics, Chinese Academy of Sciences, 340 XuDong Rd., Wuhan 430077, China
6
Editorial Department of Journal of Central China Normal University, Wuhan 430079, China
7
The College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
8
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
9
Ocean College, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, Zhejiang, China
and qualitative analyses using the measured spectrum data. Experimental results indicated that ATCOR2 achieves the best performance among the atmospheric correction methods qualitatively and quantitatively. Hence, specifically for the study area and GF-1 WFV1 dataset, ATCOR2 is the most suitable atmospheric correction approach under hazy in the eastern area of China. Keywords Hazy Atmospheric correction GF-1 WFV1
Introduction On April 26, 2013, China-made Gao-Fen (Gao-Fen in Chinese means high spatial resolution) (GF-1) was successfully launched. It is equipped with two 2-m panchromatic/8-m multi-spectral cameras, and four 16-m multispectral cameras (Wild Field Camera, or WFV). The scan width is 800 km with the repetition cycle of four days (Wu et al. 2015). Due to the large width multi-spectral data with high spatial and temporal resolutions, GF-1 can effectively avoid the conflict of traditional satellite spatial (temporal) resolution and width, and be widely used in land resource survey, environmental monitoring, precision agriculture, among others. To achieve the application potentiality of GF-1 data, the premise is to obtain accurat
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