Activities per year
Abstract
In this study, we present a concept for the assessment of impervious surfaces integrating VHR satellite data and a-priori information from additional datasets. Spatial concepts like neighbourhood and region, distance, spatial dependence or spatial variability are adapted in a knowledge-based approach using an object-based image analysis model to accumulate evidence from different sources. We look at constraints for timely and comprehensive VHR optical data acquisition that covers larger areas with adequate image characteristics (sensor family, seasonality, sensor viewing angles and sun inclination). For a study area covering the municipality of Hallein (Austria), we discuss preliminary results with a focus on real-world object characterization (including surface material, spectral reflectivity, object size and shape) and on building a knowledge-base for the classification of real-world objects. We also assess image characteristics and effects on image analysis. The knowledge about real-world object characteristics and image object statistics will be used to develop an integrated approach that aims for transferability to larger areas.
Original language | English |
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Pages (from-to) | 147-159 |
Number of pages | 13 |
Journal | GI_Forum - Journal for Geographic Information Science |
Volume | 8 |
Issue number | 2-2020 |
DOIs | |
Publication status | Published - 16 Dec 2020 |
Event | GI_Forum 2020: connecting spatially – virtually - Salzburg, Austria Duration: 6 Jul 2020 → 10 Jul 2020 https://gi-forum.org/ |
Keywords
- imperviousness
- VHR Pléiades imagery
- OBIA
- rule-based approach
- data integration
Fields of Science and Technology Classification 2012
- 102 Computer Sciences
- 507 Human Geography, Regional Geography, Regional Planning
Activities
- 1 Oral presentation
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Knowledge-based assessment of impervious surfaces by integrating data and information from different sources
Strasser, T. (Speaker)
8 Jul 2020Activity: Talk or presentation › Oral presentation › science to public / art to public