Advances in Remote Sensing and GIS Analysis
The world of remote sensing and GIS is changing at a pace. This volume brings together developments in these complimentary fields, with a particular emphasis on mathematical techniques and their application. It covers techniques such as fuzzy classification, artificial neural networks, geostatistical techniques, texture classification, fractals, per-parcel classification, raster and vector data integration, and process modelling. These techniques are considered with reference to a range of applications including land cover and land use mapping, cloud tracking, snow cover mapping, air temperature monitoring, topographic mapping, geological classification, and soil erosion modelling. The book covers the development of remote sensing methods and the integrated use of remote sensing and GIS analysis, and contains international contributors from academia, industry and research institutes.