A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index

A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index

The water cloud model (WCM) can be inverted to estimate leaf area index (LAI) using the intensity of backscatter from synthetic aperture radar (SAR) sensors. Published studies have demonstrated that the WCM can accurately estimate LAI if the model is effectively calibrated. However, calibration of t...

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Bibliographic Details
Main Authors: Mehdi Hosseini, Heather McNairn, Scott Mitchell, Laura Dingle Robertson, Andrew Davidson, Nima Ahmadian, Avik Bhattacharya, Erik Borg, Christopher Conrad, Katarzyna Dabrowska-Zielinska, Diego de Abelleyra, Radoslaw Gurdak, Vineet Kumar, Nataliia Kussul, Dipankar Mandal, Y. S. Rao, Nicanor Saliendra, Andrii Shelestov, Daniel Spengler, Santiago R. Verón, Saeid Homayouni, Inbal Becker-Reshef
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
RADARSAT-2
Sentinel-1
leaf area index
water cloud model
machine learning
Online Access:https://www.mdpi.com/2072-4292/13/7/1348

Internet

https://www.mdpi.com/2072-4292/13/7/1348

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