Mineral Classification of Land Surface Using Multispectral LWIR and Hyperspectral SWIR Remote-Sensing Data. A Case Study over the Sokolov Lignite Open-Pit Mines, the Czech Republic

Mineral Classification of Land Surface Using Multispectral LWIR and Hyperspectral SWIR Remote-Sensing Data. A Case Study over the Sokolov Lignite Open-Pit Mines, the Czech Republic

Remote-sensing techniques offer an efficient alternative for mapping mining environments and assessing the impacts of mining activities. Airborne multispectral data in the thermal region and hyperspectral data in the optical region, acquired with the Airborne Hyperspectral Scanner (AHS) sensor over...

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Bibliographic Details
Main Authors: Gila Notesco, Veronika Kopačková, Petr Rojík, Guy Schwartz, Ido Livne, Eyal Ben Dor
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Remote Sensing
Subjects:
AHS
airborne remote-sensing
LWIR multispectral remote-sensing
SWIR hyperspectral remote-sensing
Sokolov open-pit mine
land emissivity
mineral mapping
Online Access:http://www.mdpi.com/2072-4292/6/8/7005

Internet

http://www.mdpi.com/2072-4292/6/8/7005

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