Abstract
We introduce a prototypical methodological framework for a place-based GIS-RS system for the spatial delineation of place while incorporating spatial analysis and mapping techniques using methods from different fields such as environmental psychology, geography, and computer science. The methodological lynchpin for this to happen - when aiming to delineate <i>place</i> in terms of objects - is object-based image analysis (OBIA).
Highlights
Remote Sensing imagery has literally arrived at everybody’s desktop
We introduce a prototypical methodological framework for a place-based GIS-RS system for the spatial delineation of place while incorporating spatial analysis and mapping techniques using methods from different fields such as environmental psychology, geography, and computer science
Increasing amounts of data do not necessarily nor automatically lead to tangible information. This quest for tangible information favoured the marriage of GIStechniques and image processing and the fast developing paradigm of object-based image analysis (OBIA, see Blaschke 2010), often referred to as Geographic object-based image analysis (GEOBIA) when distinguishing applications from other domains such as medical imaging or material sciences – which utilize OBIA methods (Blaschke et al 2014)
Summary
Remote Sensing imagery has literally arrived at everybody’s desktop. The increasing availability and accessibility along with improving resolutions created interests among various domain experts – many of them not having remote sensing backgrounds. This quest for tangible information favoured the marriage of GIStechniques and image processing and the fast developing paradigm of object-based image analysis (OBIA, see Blaschke 2010), often referred to as Geographic object-based image analysis (GEOBIA) when distinguishing applications from other domains such as medical imaging or material sciences – which utilize OBIA methods (Blaschke et al 2014) In this synthesis paper we briefly highlight the merger of GIS and remote sensing through OBIA with an emphasis to address human-centric perceptions – rather than geometric (sub-)entities directly visible in images. One overarching research question which is tackled by two aligned PhD theses is do such place-based objects differ from conventional spatial objects in terms of their outline and, subsequently, in terms of shape and size?
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