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Urban mapping, accuracy, & image classification: A comparison of multiple approaches in Tsukuba City, Japan
2009
Applied Geography
The rapid growth of urban space and its environmental challenges require precise mapping techniques to represent complex earth surface features more accurately. In this study, we examined four mapping approaches (unsupervised, supervised, fuzzy supervised and GIS post-processing) using Advanced Land Observing Satellite images to predict urban land use and land cover of Tsukuba city in Japan. Intensive fieldwork was conducted to collect ground truth data. A random stratified sampling method was
doi:10.1016/j.apgeog.2008.08.001
fatcat:f73hhuj4cncdjbg3jul7izyfza