Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms

Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms

To accurately estimate leaf area index (LAI) in mangrove areas, the selection of appropriate models and predictor variables is critical. However, there is a major challenge in quantifying and mapping LAI using multi-spectral sensors due to the saturation effects of traditional vegetation indices (VI...

Full description

Bibliographic Details
Main Authors: Yuanhui Zhu, Kai Liu, Lin Liu, Soe W. Myint, Shugong Wang, Hongxing Liu, Zhi He
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Remote Sensing
Subjects:
WorldView-2 imagery
vegetation index
leaf area index
red-edge band
variable importance
mangrove forests
machine learning
Online Access:https://www.mdpi.com/2072-4292/9/10/1060

Internet

https://www.mdpi.com/2072-4292/9/10/1060

Similar Items