Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

For the last decade, Gaussian process regression (GPR) proved to be a competitive machine learning regression algorithm for Earth observation applications, with attractive unique properties such as band relevance ranking and uncertainty estimates. More recently, GPR also proved to be a proficient ti...

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Bibliographic Details
Main Authors: Luca Pipia, Eatidal Amin, Santiago Belda, Matías Salinero-Delgado, Jochem Verrelst
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
Google Earth Engine (GEE)
Gaussian process regression (GPR)
machine learning
Sentinel-2
gap filling
leaf area index (LAI)
Online Access:https://www.mdpi.com/2072-4292/13/3/403

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https://www.mdpi.com/2072-4292/13/3/403

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