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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
External Source
chorus
Document Type
Accepted Manuscript
Authors
Hamed Gholizadeh
Scott M. Robeson
Abdullah F. Rahman
Date Acquired
October 24, 2026
Publication Information
Publication: International Journal of Remote Sensing
Publisher: Informa UK Limited
Volume: 36
Issue: 12
ISSN: 0143-1161
e-ISSN: 1366-5901
DOI: 10.1080/01431161.2015.1054959
Funding Number(s)
funding: NNX11AF50G
Distribution Limits
Public

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