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Assessing the Applications of Earth Observation Data for Monitoring Artisanal and Small-Scale Gold Mining (ASGM) in Developing Countries

Authors
Moomen, Abdul-Wadood
Davis, Kenneth
Miranda, Manolea
Ibrahim, Elsy
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Published in Remote sensing. 2022, vol. 14, no. 13, 2971
Abstract This paper discusses opportunities to use remote sensing (RS) technologies in addressing the persistent global challenges related to the artisanal and small-scale gold mining (ASGM) sector. The paper uses a systematic literature review to identify, analyze, and synthesize various uses of RS on the detection and monitoring of ASGM activities across the globe. The study covers the use of spaceborne sensors and available opportunities for data access and processing and emphasizes the important role that freely-available data has played in understanding ASGM activities. It discusses applications and opportunities offered in assessing the geospatial and temporal characteristics of ASGM and its impacts on the surrounding environment. Furthermore, it examines different indicators for the detection of ASGM in the landscape. Finally, technological capabilities described in the study are illustrated with case studies in the Democratic Republic of Congo and in Colombia using cloud computing with the Open Data Cube. The case studies demonstrate the identification and quantification of impacts of ASGM activities on land degradation and water turbidity in remote areas and results are dissiminated using the MapX platform. This facilitates policy development, implementation, and evaluation in the ASGM context.
Keywords Artisanal and small-scale gold miningLandsatSentinelsEarth observationsSustainable land managementLand degradationLand cover change
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Research groups Global Resource Information Database (GRID)
Envirospace Lab
TIGERS
ISE Pôle Sciences
ISE Pôle Informatique environnementale
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MOOMEN, Abdul-Wadood et al. Assessing the Applications of Earth Observation Data for Monitoring Artisanal and Small-Scale Gold Mining (ASGM) in Developing Countries. In: Remote sensing, 2022, vol. 14, n° 13, p. 2971. doi: 10.3390/rs14132971 https://archive-ouverte.unige.ch/unige:162537

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Deposited on : 2022-08-05

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