Wetland Mapping in the Congo Basin Using Optical and Radar Remotely Sensed Data and Derived topographical Indices
Wetlands, Land Cover, Flooded Forest
This study reports results of a classification tree approach to mapping the wetlands of the Congo Basin, focusing on the Cuvette Centrale of the Congo River watershed, an area of 1,176,000 km2. Regional expert knowledge was used to train passive optical remotely sensed imagery of the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) sensors, JERS-1 active radar L-band imagery, and topographical indices derived from 3 arc sec elevation data of the Shuttle Radar Topography Mission (SRTM). All data inputs were resampled to a common 57 m resolution grid. A classification tree bagging procedure was employed to produce a final map of per-grid cell wetland probability. Thirty bagged trees were ranked and the median result was selected to produce the final wetland probability map. Thresholding the probability map at
Remote Sensing of Environment
DOI of Published Version
Bwangoy, Jean-Robert B.; Hanson, Matthew C.; Roy, David P.; De Grandi, Gianfranco; and Justice, Christopher O., "Wetland Mapping in the Congo Basin Using Optical and Radar Remotely Sensed Data and Derived topographical Indices" (2009). GSCE Faculty Publications. 64.