A Land Cover/Land Use (LCLU) Information System is proposed as a new dynamic and flexible approach to describe landscape objects. It is able to give a deeper and more realistic thematic description by storing membership land cover attributes for each polygon automatically extracted and classified by the T-MAP software. The proposed approach can overcome the traditional “hard” classification by taking directly into account “fuzzy” cover components and making the classification approach more bounded with the polygon characteristics and their changes. The LCLU Information System can be easily integrated with different databases, making it suitable for different nomenclatures and further analysis, regarding environmental indexes, class updating and classification stability assessment

LCLU information system for object-oriented nomenclature / Malinverni, Eva Savina; A. N., Tassetti; Zingaretti, Primo. - ELETTRONICO. - (2010), pp. 2836-2839. (Intervento presentato al convegno 30th IEEE International Geoscience and Remote Sensing Symposium IGARSS 2010 tenutosi a Honolulu,HI, United States nel 25-30 July 2010) [10.1109/IGARSS.2010.5651398].

LCLU information system for object-oriented nomenclature

MALINVERNI, Eva Savina;ZINGARETTI, PRIMO
2010-01-01

Abstract

A Land Cover/Land Use (LCLU) Information System is proposed as a new dynamic and flexible approach to describe landscape objects. It is able to give a deeper and more realistic thematic description by storing membership land cover attributes for each polygon automatically extracted and classified by the T-MAP software. The proposed approach can overcome the traditional “hard” classification by taking directly into account “fuzzy” cover components and making the classification approach more bounded with the polygon characteristics and their changes. The LCLU Information System can be easily integrated with different databases, making it suitable for different nomenclatures and further analysis, regarding environmental indexes, class updating and classification stability assessment
2010
International Geoscience and Remote Sensing Symposium
978-142449565-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/48018
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