Title: A Flexible Multi-source Spatial-data Fusion System for Environmental Status Assessment at Continental Scale
Authors: CARRARA PAOLABORDOGNA GloriaBOSCHETTI MIRCOBRIVIO PIETRONELSON AndrewSTROPPIANA DANIELA
Citation: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE vol. 22 no. 7 p. 781-799
Publisher: TAYLOR & FRANCIS LTD
Publication Year: 2008
JRC Publication N°: JRC35532
ISSN: 1365-8816
URI: http://dx.doi.org/10.1080/13658810701703183
http://publications.jrc.ec.europa.eu/repository/handle/JRC35532
DOI: 10.1080/13658810701703183
Type: Articles in Journals
Abstract: The monitoring of the environment’s status at continental scale involves the integration of information derived by the analysis of multiple, complex, multidisciplinary and large-scale phenomena. Thus, there is a need to define synthetic Environmental Indicators (EIs) that concisely represent these phenomena in a manner suitable for decision-making. This research proposes a framework for a flexible system to define EIs based on a soft fusion of contributing environmental factors derived from multi-source spatial data (mainly Earth Observation data). The flexibility of the system is twofold; the EI can be customised based on the available data, and the ability to cope with a lack of expert knowledge when defining the EI. The framework applies fuzzy logic to define a soft quantifier-guided fusion strategy, where these soft constraints allow a non-linear scaling of the contributing factors from which the EI is composed. Soft fusion criteria are specified by linguistic quantifiers that correspond to fuzzy majorities, and are implemented as Ordered Weighted Averaging (OWA) operators. The approach is applied in a case study to demonstrate the periodical computation of anomaly indicators of the environmental status of Africa, based on a seven year time series of dekadal Earth Observation datasets.
JRC Institute:Institute for Environment and Sustainability

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