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Article

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
Remote Sens. 2016, 8(12), 1010; https://doi.org/10.3390/rs8121010
Received: 10 August 2016 / Revised: 17 November 2016 / Accepted: 1 December 2016 / Published: 10 December 2016
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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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. https://doi.org/10.3390/rs8121010

AMA Style

Bertels L, Smets B, Wolfs D. Dynamic Water Surface Detection Algorithm Applied on PROBA-V Multispectral Data. Remote Sensing. 2016; 8(12):1010. https://doi.org/10.3390/rs8121010

Chicago/Turabian Style

Bertels, Luc, Bruno Smets, and Davy Wolfs. 2016. "Dynamic Water Surface Detection Algorithm Applied on PROBA-V Multispectral Data" Remote Sensing 8, no. 12: 1010. https://doi.org/10.3390/rs8121010

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