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An authoritative and state-of-the-art book bringing together someof the most recent developments in remote sensing and GIS analysiswith a particular emphasis on mathematical techniques and theirapplications. With contributions from academia, industry and research institutes,all with a high standing, this book covers a range of techniquesincluding: fuzzy classification, artificial neural networks,geostatistical techniques (such as kriging, cokriging, stochasticsimulation and regularization, texture classification, fractals,per-parcel classification, raster and vector data integration andprocess modelling. The range of applications includes land coverand land use mapping, cloud tracking, snow cover mapping and airtemperature monitoring, topographic mapping, geologicalclassification and soil erosion modelling. This book will be valuable to both researchers and advancedstudents of remote sensing and GIS. It contains several newapproaches, recent developments, and novel applications of existingtechniques. Most chapters report the results of experiment andinvestigation. Some chapters form broad reviews of recentdevelopments in the field. In all cases, the mathematical basis isfully explained.