globalchange  > 气候变化与战略
DOI: 10.1080/2150704X.2019.1708501
论文题名:
Surface water map of China for 2015 (SWMC-2015) derived from Landsat 8 satellite imagery
作者: Jiang W.; He G.; Pang Z.; Guo H.; Long T.; Ni Y.
刊名: Remote Sensing Letters
ISSN: 2150704X
出版年: 2020
卷: 11, 期:3
语种: 英语
Scopus关键词: Climate change ; Mapping ; Multilayer neural networks ; Pixels ; Remote sensing ; Satellite imagery ; Surface water resources ; Hydrologic cycles ; Kappa coefficient ; Mapping accuracy ; Multilayer perceptron neural networks ; Operational land imager ; Overall accuracies ; Seasonal fluctuations ; Verification samples ; Surface waters ; climate change ; global change ; hydrological cycle ; Landsat ; pixel ; remote sensing ; satellite imagery ; surface water ; China
英文摘要: Large-scale surface water mapping not only helps us protect, utilize and manage water resources but also contributes to the understanding of climate change and the hydrologic cycle. A recent study showed that a multilayer perceptron (MLP) neural network is an effective method to identify various surface water types from Landsat 8 Operational Land Imager (OLI) satellite imagery. We use this method to produce a surface water map of China for 2015 (SWMC-2015) at a 30 m pixel size. The accuracy of SWMC-2015 was assessed with a set of random water and not water validation points. The strengths and limitations of SWMC-2015 include: the SWMC-2015 clearly shows the major lake clusters and river networks with high mapping accuracy and the overall accuracy and kappa coefficients of SWMC-2015 are 90% and 0.78, respectively. The accuracy of SWMC-2015 can be improved from perspective of training samples representation, verification sample seasonal fluctuation and mixed pixel. The SWMC-2015 is available for free download on the remote sensing of global change website (https://vapd.gitlab.io/post/swmc2015/). © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158748
Appears in Collections:气候变化与战略

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作者单位: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China; Remote Sensing Technology Application Center, Research Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, China; Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; Key Laboratory of Earth Observation Hainan Province, Chinese Academy of Sciences, Sanya, Hainan, China; College of Resources and Environmet, University of Chinese Academy of Sciences, Beijing, China; Sichuan Highway Planning, survey, Design and Research Institute Ltd, Sichuan, China

Recommended Citation:
Jiang W.,He G.,Pang Z.,et al. Surface water map of China for 2015 (SWMC-2015) derived from Landsat 8 satellite imagery[J]. Remote Sensing Letters,2020-01-01,11(3)
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