Statistical characterization and exploitation of Synthetic Aperture radar vegetation indexes for the generation of Leaf area Index time series

Statistical characterization and exploitation of Synthetic Aperture radar vegetation indexes for the generation of Leaf area Index time series

This study investigates the efficacy of Synthetic Aperture Radar (SAR)-based vegetation indexes for filling gaps in the optical-driven Leaf Area Index (LAI) time series. The statistical properties of coherent (e.g., interferometric coherence) and incoherent (e.g., backscattered signal) SAR vegetatio...

Full description

Bibliographic Details
Main Authors: Pietro Mastro, Margherita De Peppo, Alberto Crema, Mirco Boschetti, Antonio Pepe
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Synthetic Aperture Radar data
Optical data
Leaf Area Index
Vegetation indexes
Statistics
Multi-output Gaussian processes
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223003229

Internet

http://www.sciencedirect.com/science/article/pii/S1569843223003229

Similar Items