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This repository documents the interdisciplinary work conducted as part of the renaturation project of the River Aa, coordinated by the Institute for Geoinformatics (ifgi- Universität Münster), serving as a field-based laboratory for students in the MSc programs in Geoinformatics and Geospatial Technologies.
Over recent weeks, students have engaged in advanced methodologies involving environmental monitoring, remote sensing, and spatial analysis, structured around three main teams:
Our team analyzed the renaturation process using multi-source imagery and geospatial datasets, structured across four analytical domains: 1. Flood Modeling • Integration of Sentinel-1 SAR and UAV data • Semantic segmentation and water extent classification 2. Forest and River Change Detection • Multitemporal analysis using NDVI, NDSI, and land cover dynamics 3. Vegetation Type Classification • Spectral signatures from UAV multispectral imagery • Classification using object-based and pixel-based approaches 4. Vegetation Health Monitoring • NDVI, GNDVI, and Red Edge indices computation • Time-series comparison pre- and post-renaturation
Complementing the remote sensing analysis, the sensor team deployed in-situ environmental sensors to monitor local conditions in real time. Variables collected include: • Temperature • Relative Humidity • Ultraviolet Radiation (UV Index) • Ambient Light (Illuminance) • Soil Temperature • Soil Moisture
All sensors were georeferenced and integrated with spatial layers for further cross-domain analysis.
The dissemination team documented the full research and deployment process through: • High-resolution photography and videography • Annotated field reports and narratives • Development of a web-based platform for publishing observations and visualizations
Their work ensures that both technical findings and societal impact are made accessible to broader audiences, including local stakeholders and the public.
Project organization is following the TIER Protocol 4.0 that specifies the structure for reproducibility: Project/ The Read Me File The Report Data/ InputData/ Input Data Files Metadata/ Data Sources Guide Codebooks AnalysisData/ Analysis Data Files The Data Appendix IntermediateData/ Scripts/ ProcessingScripts/ DataAppendixScripts/ AnalysisScripts/ The Master Script Output/ Results
- MIT License
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
This project can be cited with the following route https://github.com/ifgi/UAS_course_2025/tree/main
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