
Proceedings Paper
Monitoring a quarry using high resolution data and GIS techniquesFormat | Member Price | Non-Member Price |
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Paper Abstract
Active quarries near to urban centers are at the same time a necessity but also a source of pollution. Necessity as they
supply to the construction companies the necessary aggregates and source of pollution as they affect biodiversity,
vegetation cover and threaten water resources. The objective of this work is to indicate a monitoring methodology in
order to survey the present state of the quarry sites and their evolution in time, which are the basic data needed to
implement an adequate land reclamation project. The land monitoring has been realised both by using remote sensing
techniques, supported by a Geographic Information System of the studied area, and by in situ surveying. The in situ
surveying was able to assess the capability of the remote sensing model to describe the state of each site. High resolution
satellite data from different sensors were used for the monitoring of an active quarry. More especially, Ikonos Quickbird,
and Worldiew data were orthorectified and inserted in a GIS database in order to quantify the changes.
Paper Details
Date Published: 25 October 2010
PDF: 10 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78310R (25 October 2010); doi: 10.1117/12.864527
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
PDF: 10 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78310R (25 October 2010); doi: 10.1117/12.864527
Show Author Affiliations
Konstantinos G. Nikolakopoulos, Institute of Geology & Mineral Exploration (Greece)
P. I. Tsombos, Institute of Geology & Mineral Exploration (Greece)
P. I. Tsombos, Institute of Geology & Mineral Exploration (Greece)
A. D. Vaiopoulos, Univ. of Athens (Greece)
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
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