Abstract
Abstract Remote sensing data are a valuable source of information about conditions at or near the surface of the Earth if their interpretation truly reflects those conditions. One of the best ways to promote representative classifications is to gain first hand experience of ground conditions. Attempts to measure urban growth in Kathmandu improved significantly following a field trip to the city. Ground truth data were collected for accuracy assessments, spectrally confusing features were identified, and the urban land-use class was defined more appropriately in terms of Nepalese land-use patterns, rather than from the perspective of suburban Northern Virginia.
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