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Proceedings Paper

Environmental impact classification with fuzzy sets for urban land cover from satellite remote sensing data
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Paper Abstract

Urban area is a mosaic of complex, interacting ecosystems, rich natural resources and socio-economic activity. Dramatic changes in urban's land cover are due to natural and anthropogenic causes. A scientific management system for protection, conservation and restoration must be based on reliable information on bio-geophysical and geomorphologic, dynamics processes, and climatic change effects. Synergetic use of quasi-simultaneously acquired multi-sensor data may therefore allow for a better approach of change detection and environmental impact classification and assessment in urban area. It is difficult to quantify the environmental impacts of human and industrial activities in urban areas. There are often many different indicators than can conflict with each other, frequently important observations are lacking, and potentially valuable information may non-quantitative in nature. Fuzzy set theory offers a modern methodology for dealing with these problems and provides useful approach to difficult classification problems for satellite remote sensing data. This paper describes how fuzzy logic can be applied to analysis of environmental impacts for urban land cover. Based on classified Landsat TM, SPOT images and SAR ERS-1 for Bucharest area, Romania, it was performed a land cover classification and subsequent environmental impact analysis.

Paper Details

Date Published: 21 October 2004
PDF: 11 pages
Proc. SPIE 5581, ROMOPTO 2003: Seventh Conference on Optics, (21 October 2004); doi: 10.1117/12.583060
Show Author Affiliations
Maria A. Zoran, National Institute of Research & Development for Optoelectronics (Romania)
Doina Nicoleta Nicolae, National Institute of Research & Development for Optoelectronics (Romania)
Camelia Talianu, National Institute of Research & Development for Optoelectronics (Romania)

Published in SPIE Proceedings Vol. 5581:
ROMOPTO 2003: Seventh Conference on Optics
Valentin I. Vlad, Editor(s)

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