Remote Sensing Applications and Decision Support

Evaluation of automated urban surface water extraction from Sentinel-2A imagery using different water indices

[+] Author Affiliations
Xiucheng Yang

University of Strasbourg, ICube Laboratory, Strasbourg, France

Li Chen

China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing, China

J. Appl. Remote Sens. 11(2), 026016 (May 13, 2017). doi:10.1117/1.JRS.11.026016
History: Received March 20, 2017; Accepted April 21, 2017
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Abstract.  Urban surface water is characterized by complex surface continents and small size of water bodies, and the mapping of urban surface water is currently a challenging task. The moderate-resolution remote sensing satellites provide effective ways of monitoring surface water. This study conducts an exploratory evaluation on the performance of the newly available Sentinel-2A multispectral instrument (MSI) imagery for detecting urban surface water. An automatic framework that integrates pixel-level threshold adjustment and object-oriented segmentation is proposed. Based on the automated workflow, different combinations of visible, near infrared, and short-wave infrared bands in Sentinel-2 image via different water indices are first compared. Results show that object-level modified normalized difference water index (MNDWI with band 11) and automated water extraction index are feasible in urban surface water mapping for Sentinel-2 MSI imagery. Moreover, comparative results are obtained utilizing optimal MNDWI from Sentinel-2 and Landsat 8 images, respectively. Consequently, Sentinel-2 MSI achieves the kappa coefficient of 0.92, compared with that of 0.83 from Landsat 8 operational land imager.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Topics

Water ; Landsat

Citation

Xiucheng Yang and Li Chen
"Evaluation of automated urban surface water extraction from Sentinel-2A imagery using different water indices", J. Appl. Remote Sens. 11(2), 026016 (May 13, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.026016


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