作者: James P. Ormsby
关键词:
摘要: Current ground hydrology models (GHM's) require global distribution of bare soil and vegetation, the physical thermal properties soil, physiological plants to parameterize evaporation sensible heat flux from land surfaces. Thus ability infer vegetative cover, some extent vegetation type, is hydrologically important because relationship between evapotranspiration through process root-zone soil-moisture extraction. LANDSAT digital data degraded approximately 1 km NOAA-6 have been used study capability problems associated with use low-resolution provide land-surface information such as forest, grassland, agriculture, bare, urban, water. Three scenes a subscene pass were classified using supervised unsupervised techniques. The initially classification techniques ascertain large-scale prior receipt data. Comparisons (?ground truth?) resulted in percentage differences cover types generally less than 10 percent. Advanced Very Hign Resolution Radiometer (AVHRR) results similar LANDSAT. In both cases there was no statistical difference results. major problem encountered consistent labeling various landcover categories derived by methods.