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Exploitation of Remote Sensing Data for Land Cover to Habitat Map Translation: A Case Study
Focusing on the Food and Agricultural Organization (FAO) Land Cover Classification System (LCCS) and the recently proposed General Habitat Categories (GHCs) classifycation system, this paper illustrates how expert knowledge concerning class spatial arrangement in the scene at hand class, class phenology and class spectral signature in multi-temporal EO images can fill the gaps between the two classification systems and provide LC/LU to habitat translation. An application to a Natura 2000 site in Southern Italy which includes a wetland costal area is discussed.
Autor / Author:Adamo, Maria; Tarantino, Cristina; Kosmidou, Vasiliki; Petrou, Zisis; Manakos, Ioannis; Tomaselli, Valeria; Lucas, Richard; Muncher, Sander; Blonda, Palma
Institution / Institution:CNR-ISSIA, Bari, Italy; CNR-ISSIA, Bari, Italy; CERTH, Thessaloniki, Greece; CERTH, Thessaloniki, Greece; CERTH, Thessaloniki, Greece; CNR-IGV, Bari, Italy; Aberystwyth University, UK; ALTERRA, Wageningen, The Netherlands; CNR-ISSIA, Bari, Italy
Seitenzahl / Pages:5
Sprache / Language: Englisch
Veröffentlichung / Publication:GI_Forum 2013 – Creating the GISociety
Tagung / Conference:GI_Forum 2013 – Symposium and Exhibit GIScience & Technology/Learning with GI
Veranstaltungsort, -datum / Venue, Date: Salzburg, Austria 02.07.2013 05.07.2013
Schlüsselwörter / Keywordsland cover maps, habitat maps, satellite imagery
Paper review type:Extended Abstract Review
DOI:
865 - Exploitation of Remote Sensing Data for Land Cover to Habitat Map Translation: A Case Study