Mapping Specific Constituents of an Ochre-Coloured Watercourse Based on In Situ and Airborne Hyperspectral Remote Sensing Data
نویسندگان
چکیده
It is a well-known fact that water bodies are crucial for human life, ecosystems and biodiversity. Therefore, they subject to regulatory monitoring in terms of quality. However, land-use intensification, such as open-cast mining activities, can have direct impact on Unfortunately, situ measurements quality parameters spatially limited, costly time-consuming, which why we proposed combination hyperspectral data, data simple regression models this study estimate thus monitor various parameters. We focused the variables total iron, ferrous ferric sulphate chlorophyll-a. Unlike other studies, used airborne RGB ensure very high spatial resolution data. To investigate potential our approach, conducted simultaneous hyperspectral/RGB aircraft campaigns at different sites Spree River Germany pyrite weathering after activities. Appropriate were developed five mentioned above. The model with best performance each variable gave coefficient determination R2 64% 79%. This clearly shows monitoring. In further investigations, use machine learning techniques, well transferability bodies. approach presented here has great development method continuous still waters large watercourses, especially given freely available space-based missions via EnMAP.
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ژورنال
عنوان ژورنال: Water
سال: 2023
ISSN: ['2073-4441']
DOI: https://doi.org/10.3390/w15081532