Pawlik, M.; Haske, B.; Flores, H.; Bernsdorf, B.; Rudolph, T. Towards a Long-Term Unmanned Aerial Vehicle (UAV) Monitoring Framework for Post-Mining Effects: Prosper-Haniel Case. Mining2024, 4, 211-229.
Pawlik, M.; Haske, B.; Flores, H.; Bernsdorf, B.; Rudolph, T. Towards a Long-Term Unmanned Aerial Vehicle (UAV) Monitoring Framework for Post-Mining Effects: Prosper-Haniel Case. Mining 2024, 4, 211-229.
Pawlik, M.; Haske, B.; Flores, H.; Bernsdorf, B.; Rudolph, T. Towards a Long-Term Unmanned Aerial Vehicle (UAV) Monitoring Framework for Post-Mining Effects: Prosper-Haniel Case. Mining2024, 4, 211-229.
Pawlik, M.; Haske, B.; Flores, H.; Bernsdorf, B.; Rudolph, T. Towards a Long-Term Unmanned Aerial Vehicle (UAV) Monitoring Framework for Post-Mining Effects: Prosper-Haniel Case. Mining 2024, 4, 211-229.
Abstract
Direct and indirect effects after mine operations cease must ideally be subject to perpetual monitoring routines in order to detect possible risks or avoid adverse effects on the surrounding ecosystems at an early stage. In this contribution, mining subsidence lakes created inside the nature reserve Kirchheller Heide and Hilsfeld Forest are subjected to analysis for a long-term monitoring scheme. For this purpose, we employ high-resolution unmanned aerial system (UAS)-based multispectral and thermal mapping tools to provide a fast, non-invasive and multitemporal environmental monitoring method. Specifically, we propose to monitor vegetation evolution through multispectral analysis, biotypes identification using machine learning algorithms, and water surface extent detection, together with their thermal behavior. The aim of this contribution is to present the proposed workflow and first results to establish a baseline for future analyses and subsequent surveys for longterm multi-temporal monitoring
Keywords
Geomonitoring; Post-Mining; UAV
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
