The analysis on the uncertainties of multi-scale land-cover classification in the South China

Land-cover classification represents one of the most fundamental applications of remote sensing, and is widely used to estimate carton stocks and parameters hydrological and biogeochemical models. Several studies reveal that changing the spatial resolution of land-cover maps has important effects on the proportion of a landscape occupied by a particular land cover type. We study the proportions of vegetations based on multi-scale land-cover classifications in the area of Qianyanzhou in the province of Jiangxi in the South China on the base of ground investigations. The viability of coarse spatial resolution data for land-cover classification is evaluated using degraded Landsat Thematic Mapper (TM). The uncertainties of multi-scale land cover classifications are finally analyzed based on the different aggregated TM land-cover maps.