Advances in Remote Sensing and GIS Analysis

Techniques for the analysis of spatial data land cover classification revisited image classification with a neural network - from completely-crisp to fully-fuzzy situations cloud motion analysis methods for estimating image signal-to-noise ratio (SNR) modelling and efficient mapping of snow cover in the UK for remote sensing validation using variograms to evaluate a model for the spatial prediction of minimum air temperature modelling the distribution of cover fraction of a geophysical field classification of digital image texture using variograms geostatistical approaches for image classification and assessment of uncertainty in geologic processing a syntactic pattern-recognition paradigm for the derivation of second-order thematic information from remotely sensed images the role of classified imagery in urban spatial analysis image classification and analysis using integrated GIS per-field classification of land use using the forthcoming very fine spatial resolution satellite sensors - problems and potential solutions modelling soil erosion at global and regional scales using remote sensing and GIS techniques extracting information from remotely sensed and GIS data.