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.
Highlights
Inland water surface mapping is important to budget freshwater supply for human and animals [1,2,3], and agriculture [4,5,6], and to monitor ecological issues and to perform ecosystem management [7,8,9,10]
A “Very High” occurrence can be found for several other lakes which have frequent WBs detected, i.e., K’oftu, Chelekleka, Hora and Bishoftu
This water bodies detection algorithm is implemented in the operational processing chain of the Copernicus Global Land Service
Summary
Inland water surface mapping is important to budget freshwater supply for human and animals [1,2,3], and agriculture [4,5,6], and to monitor ecological issues and to perform ecosystem management [7,8,9,10]. The thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) sensors (Landsat 5 and Landsat 7, respectively), which allow high-resolution mapping of small water bodies, were used for water quality assessment [14] and water bodies extraction [15]. The latter were used for mapping inland surface water at global scale for the years 2000 and 2010 resulting in the Global Land 30-water 2000 and Global Land 30-water 2010 datasets, respectively [16]. These sensors have a high spatial resolution (30 m), their revisit time is long (16 days), which makes near real-time water body mapping at global scale impossible
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