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Integrating Openstreetmap Data

Name: Integrating Openstreetmap Data
Brand: LAP Lambert Academic Publishing
SKU: 9786202514187
Price: 191.94 RON
Availability: InStock

in Object Based Land-Cover and Land-Use Classification for Disaster Recovery

Autor: Lilian Kato

Limbă:

Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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191.94 lei

Land cover and land use (LCLU) change is a very important indicator that can assist in the monitorin...

Informații despre carte

Autor

Lilian Kato

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2020

Pagini

EAN

9786202514187

Enbook ID

28720111

Editura

LAP Lambert Academic Publishing

Greutate

122

Dimensiuni

152 x 229 x 5

Descriere completă

Land cover and land use (LCLU) change is a very important indicator that can assist in the monitoring and assessment of both physical and functional recovery. Its fundamental approach rests on change assessment comparing the situation before, the immediate post-disaster situation and later the recovery stage through image classification. Remote sensing (RS) imagery provides spatial, spectral and contextual information that can assist in the LCLU classification. However, this works well with the classification of land cover (LC) but not for land use (LU) as it fails to capture information on the building use and function which are highly significant in LU classification. OpenStreetMap (OSM) data have been an emerging data source for providing base map information (roads, buildings, etc) on the ground. Most of the studies conducted using OSM data have been mainly concentrated on OSM data quality issues, but the potential of OSM data in disaster recovery assessment has been less explored. Therefore, the main objective of this study was to investigate the potential of using RS imagery and OSM data in LCLU classification for improving the understanding of post-disaster recovery.

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Integrating Openstreetmap Data

in Object Based Land-Cover and Land-Use Classification for Disaster Recovery

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