Introduction of remote sensing methods for monitoring the under restoration Amiantos Mine, Cyprus

Autor: Michał Woroszkiewicz, Eleftheria Poyiadji, Maria Przyłucka, Marianthi Stefouli, Stanisław Wołkowicz, Zbigniew Kowalski, Christodoulos Hadjigeorgiou
Rok vydání: 2018
Předmět:
Zdroj: Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018).
Popis: Amiantos Mine, in Cyprus, which is an abandoned Asbestos mine has been selected as a pilot within the GEO-CRADLE project (http://geocradle.eu/en/). Main selection criteria were the user’s needs and the spatial distribution of the sites that had to be placed in the Region of Interest (RoI) (Balkans, Middle East and North Africa). Following the termination of the mining activities and the mining lease in 1992, after a long operation period of the mine (1904-1988), Cyprus Government undertook rehabilitation works, which are in progress. Geological Survey Department of Cyprus has undertaken the monitoring of the rehabilitated slopes mainly with in situ measurements. The usage of space born data together with the in-situ data will enhance the evaluation of the stability of the rehabilitation works and the assessment of any environmental pollution in the surrounding area. Main activities that are discussed in this paper and are extensively analyzed in respective pilot - feasibility study, focus on (1) monitoring progress of restoration works – using estimates of various biophysical parameters like NDVI, soil moisture, Fe / mineral alteration indexes and land use changes extracted from the analysis of multi-temporal Sentinel 2 data, (2) the determination of ground stability of the mining waste dumps, taking under special consideration the slope mass movements and vertical ground motions - using satellite interferometry method and (3) the identification of the potential pollution sources – air and water monitoring with support of multispectral satellite images of new generation which identify and map materials through spectroscopic remote sensing.
Databáze: OpenAIRE