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Remote Sens. 2016, 8(12), 1010; doi:10.3390/rs8121010

Dynamic Water Surface Detection Algorithm Applied on PROBA-V Multispectral Data

Center for Remote Sensing and Earth Observation Processes, Flemish Institute for Technological Research (VITO), Boeretang 200, B-2400 Mol, Belgium
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Academic Editors: Clement Atzberger, Magda Chelfaoui and Prasad S. Thenkabail
Received: 10 August 2016 / Revised: 17 November 2016 / Accepted: 1 December 2016 / Published: 10 December 2016
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Abstract

Water body detection worldwide using spaceborne remote sensing is a challenging task. A global scale multi-temporal and multi-spectral image analysis method for water body detection was developed. The PROBA-V microsatellite has been fully operational since December 2013 and delivers daily near-global synthesis with a spatial resolution of 1 km and 333 m. The Red, Near-InfRared (NIR) and Short Wave InfRared (SWIR) bands of the atmospherically corrected 10-day synthesis images are first Hue, Saturation and Value (HSV) color transformed and subsequently used in a decision tree classification for water body detection. To minimize commission errors four additional data layers are used: the Normalized Difference Vegetation Index (NDVI), Water Body Potential Mask (WBPM), Permanent Glacier Mask (PGM) and Volcanic Soil Mask (VSM). Threshold values on the hue and value bands, expressed by a parabolic function, are used to detect the water bodies. Beside the water bodies layer, a quality layer, based on the water bodies occurrences, is available in the output product. The performance of the Water Bodies Detection Algorithm (WBDA) was assessed using Landsat 8 scenes over 15 regions selected worldwide. A mean Commission Error (CE) of 1.5% was obtained while a mean Omission Error (OE) of 15.4% was obtained for minimum Water Surface Ratio (WSR) = 0.5 and drops to 9.8% for minimum WSR = 0.6. Here, WSR is defined as the fraction of the PROBA-V pixel covered by water as derived from high spatial resolution images, e.g., Landsat 8. Both the CE = 1.5% and OE = 9.8% (WSR = 0.6) fall within the user requirements of 15%. The WBDA is fully operational in the Copernicus Global Land Service and products are freely available. View Full-Text
Keywords: PROBA-V; water body detection; color space transformation; HSV; decision tree classification; occurrence estimation PROBA-V; water body detection; color space transformation; HSV; decision tree classification; occurrence estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bertels, L.; Smets, B.; Wolfs, D. Dynamic Water Surface Detection Algorithm Applied on PROBA-V Multispectral Data. Remote Sens. 2016, 8, 1010.

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