Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data

Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data

This study aimed at evaluating the potential of machine learning (ML) for estimating forest biomass from polarimetric Synthetic Aperture Radar (SAR) data. Retrieval algorithms based on two different machine-learning methods, namely Artificial Neural Networks (ANNs) and Supported Vector Regressions (...

Full description

Bibliographic Details
Main Authors: Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Giovanni Cuozzo, Antonio Padovano, Claudia Notarnicola, Clement Albinet
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
p-band sar
forest biomass
artificial neural networks
supported vector regressions
Online Access:https://www.mdpi.com/2072-4292/12/5/804

Similar Items

Similar Items