Exploitation of Remote Sensing Data for Land Cover to Habitat Map Translation: A Case Study

被引：0

作者：

Adamo, Maria ^{[1
]}

Tarantino, Cristina ^{[1
]}

Kosmidou, Vasiliki ^{[2
]}

Petrou, Zisis ^{[2
]}

Manakos, Ioannis ^{[2
]}

Tomaselli, Valeria ^{[3
]}

Lucas, Richard ^{[4
]}

Muncher, Sander ^{[5
]}

Blonda, Palma ^{[1
]}

机构：

[1] CNR ISSIA, Bari, Italy

[2] CERTH, Thessaloniki, Greece

[3] IGV, CNR, Bari, Italy

[4] Aberystwyth Univ, Aberystwyth, Dyfed, Wales

[5] ALTERRA, Wageningen, Netherlands

来源：

GI_FORUM 2013: CREATING THE GISOCIETY | 2013年

关键词：

D O I：

10.1553/giscience2013s487

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

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 multitemporal 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.

引用

页码：487 / 491

页数：5

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