Ammirati, Lorenzo (2022) Development of an integrated data management system for the monitoring of surficial deformations related to underground mining activity. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Development of an integrated data management system for the monitoring of surficial deformations related to underground mining activity
Creators:
CreatorsEmail
Ammirati, Lorenzolorenzo.ammirati@unina.it
Date: March 2022
Number of Pages: 112
Institution: Università degli Studi di Napoli Federico II
Department: Scienze della Terra, dell'Ambiente e delle Risorse
Dottorato: Scienze della Terra, dell'ambiente e delle risorse
Ciclo di dottorato: 34
Coordinatore del Corso di dottorato:
nomeemail
Morra, Vincenzophddistar@unina.it
Tutor:
nomeemail
Mondillo, NicolaUNSPECIFIED
Date: March 2022
Number of Pages: 112
Keywords: DInSAR; Remote sensing; Mining
Settori scientifico-disciplinari del MIUR: Area 04 - Scienze della terra > GEO/05 - Geologia applicata
Area 04 - Scienze della terra > GEO/09 - Georisorse minerarie e applicazioni mineralogico-petrografiche
Date Deposited: 18 Mar 2022 08:46
Last Modified: 28 Feb 2024 14:16
URI: http://www.fedoa.unina.it/id/eprint/14591

Collection description

In recent years the development of mineral exploitation represents a complex human task related to sustainability, new supplies, and how to mitigate the environmental impacts of mining activities. Sometimes, the mining activities can generate a considerable effect on the local environment, and in severe cases result in damages, also, leading to geological disasters and environmental pollution. To not underestimate the effects of mining activities it is essential to develop a new method of study and to use efficient monitoring systems. It is crucial to monitor the geological environment of mines to improve the surrounding environment and reduce mitigating damage caused by exploitation. One of the most important and valuable time-savings techniques, that has been recently developed, is remote sensing. This research project is based on the development of an integrated platform based on different remote sensing techniques to carry out comprehensive mining monitoring in near-real time. The aims of the study are the assessment of the mine safety in a preliminary way and on a large scale, allowing savings in terms of costs and investigation time as well as minimizing the risk for operators. The research is composed of four study cases, each one explaining in detail the application of remote sensing to mining monitoring and management. The areas of interest were located in three different nations: Ecuador, Brazil, and Italy. The work provided the application of two satellite-based remote sensing methods: the DInSAR technique and the multispectral analysis. The methodology developed in this thesis could be effectively used to monitor mining areas and communicate the results in near time, allowing fact-based discussions and being of support to managing the pre-and post-mining activities.

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