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Automatic Generation of Water Masks from RapidEye Images
2015
Journal of Geoscience and Environment Protection
Water is a very important natural resource and it supports all life forms on earth. It is used by humans in various ways including drinking, agriculture and for scientific research. The aim of this research was to develop a routine to automatically extract water masks from RapidEye images, which could be used for further investigation such as water quality monitoring and change detection. A Python-based algorithm was therefore developed for this particular purpose. The developed routine
doi:10.4236/gep.2015.310003
fatcat:3jwk6xbmdbgurn7avylzh6lewi