AMD Mapping in the Lusatian Region: From Medium to Very High-Resolution R/S Data

Delira Hanelli, Enis Sterjo, Roberto De La Rosa, Andreas Knobloch

2025

Abstract

The Lusatian region is undergoing an extensive landscape rehabilitation program following the closure of lignite open-pit mines. Under this programme, former open-cast lignite mines are being converted into artificial water bodies. However, the region faces significant challenges related to the acidification of surface and groundwater primarily driven by the oxidation of pyrite. Recent geochemical analyses show that, surface waters exhibit a strong variation of pH and iron concentration. This study aims to elaborate the potential of free and commercial space- and airborne- multispectral Remote Sensing (R/S) datasets (Sentinel-2, Worldview-3 and Unmanned Aerial Vehicle (UAV)) for large-scale acid mine drainage (AMD) mapping and identify the most suitable data sources and approaches for practical case studies. Additionally, cross-sensor comparisons are performed to gain more insights into the agreement between the spectra from Sentinel-2 images with those from the Worldview-3 and UAV images over surface water. The cross-sensor agreement of the images is quantified by performing regression analyses between R/S data at different wavelengths. Finally, dependencies and relationships between AMD constituents and the spectral data are investigated using artificial neural networks (ANN) of type Multi-Layer Perceptron (MLP).

Paper Citation

in Harvard Style

Hanelli D., Sterjo E., De La Rosa R. and Knobloch A. (2025). AMD Mapping in the Lusatian Region: From Medium to Very High-Resolution R/S Data. In Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: S34I; ISBN 978-989-758-741-2, SciTePress, pages 305-316. DOI: 10.5220/0013497200003935

in Bibtex Style

@conference{s34i25,
author={Delira Hanelli and Enis Sterjo and Roberto De La Rosa and Andreas Knobloch},
title={AMD Mapping in the Lusatian Region: From Medium to Very High-Resolution R/S Data},
booktitle={Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: S34I},
year={2025},
pages={305-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013497200003935},
isbn={978-989-758-741-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: S34I
TI - AMD Mapping in the Lusatian Region: From Medium to Very High-Resolution R/S Data
SN - 978-989-758-741-2
AU - Hanelli D.
AU - Sterjo E.
AU - De La Rosa R.
AU - Knobloch A.
PY - 2025
SP - 305
EP - 316
DO - 10.5220/0013497200003935
PB - SciTePress