NASA NTRS · 28889901465303
Comparing the performance of multispectral vegetation indices and machine-learning algorithms for remote estimation of chlorophyll content: a case study in the Sundarbans mangrove forest
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Hamed Gholizadeh, Scott M. Robeson, Abdullah F. Rahman. Comparing the performance of multispectral vegetation indices and machine-learning algorithms for remote estimation of chlorophyll content: a case study in the Sundarbans mangrove forest. https://ntrs.nasa.gov/citations/28889901465303
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