Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques

Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques

Carbon to nitrogen ratio (C:N) of senescent leaf is a crucial functional trait and indicator of litter quality that affects belowground carbon and nitrogen cycles, especially soil decomposition. Although mapping the C:N ratio of fresh mature canopies has been attempted, few studies have attempted to...

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Bibliographic Details
Main Authors: Md Mizanur Rahman, Xunhe Zhang, Imran Ahmed, Zaheer Iqbal, Mojtaba Zeraatpisheh, Mamoru Kanzaki, Ming Xu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
functional trait
litter quality
machine learning
spatial modeling
remote sensing
mangrove
Online Access:https://www.mdpi.com/2072-4292/12/9/1375

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