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Quantum Deep Hyperspectral Satellite Remote Sensing
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Chia-Hsiang Lin, You-Yao Chen
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Hyperspectral remote sensing for minesite characterisation
2004One of the major issues facing the mining industry is to develop methods to assess the success of minesite rehabilitation. Hyperspectral data, namely from Modular Airborne Imaging Spectrometer (MATS), Compact Airborne Spectrographic Imager (CAST) and Hyperspectral Mapper (HyMap) were assessed for their usefulness for minesite characterisation.
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Hyperspectral remote sensing of peat humification
2005The ability to estimate the spatial variability in the degree of humification in exposed and eroding peats is important for carbon budget studies as well as having implications for water quality and drinking water supplies. This paper examines the potential of using hyperspectral remotely sensed data to estimate peat humification in exposed peats in ...
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