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This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
This publication is a revised and updated version of World Soil Resources Reports No. 84 and 103 and presents the international soil classification system. Every soil in the world can be allocated to one of the 32 Reference Soil Groups as defined in this document, and can further be characterized by a set of qualifiers. The resulting soil name provides information on soil genesis, soil ecological function and soil properties relevant for land use and management. The same system, refined slightly, may be used to name the units of soil map legends, thereby providing comprehensive spatial information. By accommodating national soil classification systems, the World Reference Base facilitates the worldwide correlation of soil information.