MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats
China’s coastal mudflats, threatened by artificial reclamation and climate change, are undergoing drastic changes and their accurate mapping is important for their conservation and restoration. Traditional classification methods, which require large samples and complex classifiers, tend to have low...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-09-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843224004941 |