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Project Overview

Project Code: ED 03

Project name:

Land4mining

TUM Department:

ED - Aerospace and Geodesy

TUM Chair / Institute:

Land Management

Research area:

Land management

Student background:

Aerospace / Geodesy

Further disciplines:

Planned project location:

Arcisstrasse 21, Munich

Project Supervisor - Contact Details


Title:

Prof. Dr.

Given name:

Walter Timo

Family name:

de Vries

E-mail:

wt.de-vries@tum.de

Phone:

+49 89 289 25799

Additional Project Supervisor - Contact Details


Title:

Mr.

Given name:

Walter

Family name:

Dachaga

E-mail:

walter.dachaga@tum.de

Phone:

Additional Project Supervisor - Contact Details


Title:

Given name:

Family name:

E-mail:

Phone:

Project Description


Project description:

- Land data mining (e.g. search for available geospatial data on copper, cobalt, nickel, lithium mines around the world)
- Differentiate between concessions and artisanal/illegal mining using Remote Sensing and Machine Learning
- Create time series of selected cases to see the spatial transformations in and around mining sites (based on the indicators provided by AI4EI team, for example: roads, density, urban development, land use land cover changes, land degradation, presence of pollutants in water bodies, etc.), making use of Remote Sensing. The cases should be selected by AI4EI team (perhaps based on the call for case studies, as suggested in the last meeting). The time span should be defined by the team and the availability/resolution of satellite images.
- Be in close contact with the team in Ghana, who will be using the Trimble equipment we leased them.
- Perhaps continue developing the “Rate my mine” initiative as an app?
The expected outcome(s) would be:
- A comprehensive (ideally interactive) map of the (governance of) mining sites. This map should be user-friendly for the team to be able to continue building it as the data is collected. It should also be available in a public data repository (i.e. a website).
- “Rate my mine” app programmed, built with the data provided by the case studies and land data, publicly available in a way that it can be nourished by the users.
Someone doing a bachelors in Geodesy and/or Geoinformation, Civil engineering, Environmental engineering, natural resource management should be able to do this and would appreciate the experience.

Working hours per week planned:

30

Prerequisites


Required study level minimum (at time of TUM PREP project start):

3 years of bachelor studies completed

Subject related:

geodesy, geoinformatics, remote sennsing, resource management

Other:

natural resource management, environmental engineering,

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