Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Change Detection applying Landscape Metrics on High Remote Sensing Images
Haiti earthquake produced a big effort in the remote sensing data collection. Many international surveying organizations were involved to collect, process and use the spatial information to rescue the population. Here I illustrate a change detection methodology based on landscape metrics, derived by the landscape ecology and implemented in FRAGSTAST software. Some of these metrics were applied to Pre and Post event classified images (Quickbird and IKONOS). The attention was focused on 10 test areas, characterized by different spatial patterns and urban structures. The land cover classification (Urban and Other) was provided by an unsupervised K-Means algorithm in ILWIS open source software. The final results and their temporal comparison have allowed to localize the earthquake damages and the occurred changes, also analyzing the fragmentation of the urban morphology. The GIS management of the information have improved the thematic map production, resulting very useful for the damage assessment.
Change Detection applying Landscape Metrics on High Remote Sensing Images
Haiti earthquake produced a big effort in the remote sensing data collection. Many international surveying organizations were involved to collect, process and use the spatial information to rescue the population. Here I illustrate a change detection methodology based on landscape metrics, derived by the landscape ecology and implemented in FRAGSTAST software. Some of these metrics were applied to Pre and Post event classified images (Quickbird and IKONOS). The attention was focused on 10 test areas, characterized by different spatial patterns and urban structures. The land cover classification (Urban and Other) was provided by an unsupervised K-Means algorithm in ILWIS open source software. The final results and their temporal comparison have allowed to localize the earthquake damages and the occurred changes, also analyzing the fragmentation of the urban morphology. The GIS management of the information have improved the thematic map production, resulting very useful for the damage assessment.
Change Detection applying Landscape Metrics on High Remote Sensing Images
MALINVERNI, Eva Savina (Autor:in) / Malinverni, Eva Savina
01.01.2011
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
710
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