Abstract
SUMMARYVarious methods of estimating the land-cover input required by hydrological models are assessed, including two methods based upon digital data sensed by the GOES satellites — a ‘supervised’ classification approach and a ‘fractional’ method of classification. The conventional method, based upon National Topographic Series maps, and a technique for the visual interpretation of LANDSAT black/white imagery are also assessed.Land-cover maps of a 1350 km2 study watershed in northern Ontario are produced using each method. A quantitative assessment of mapping accuracy is made using ‘ground-truth’ data available for a portion of the watershed. It is concluded that for hydrologic purposes there is no appreciable difference in accuracy between land-cover mapping produced using the conventional method, the LANDSAT visual technique, and the GOES ‘fractional’ method of classification. However, the accuracy of land-cover mapping produced using the GOES ‘supervised’ approach is very poor.A study is then made of t...
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