The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine

The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine

ABSTRACTDue to the coarse scale of soil moisture products retrieved from passive microwave observations (SMPMW), several downscaling methods have been developed to enable regional scale applications. However, it can be challenging for users to access final data products and algorithms, as well as ma...

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Bibliographic Details
Main Authors: Farzane Mohseni, Amirhossein Ahrari, Jan-Henrik Haunert, Carsten Montzka
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Big Earth Data
Subjects:
Soil moisture
SMAP
Google Earth Engine
random forest regression
MODIS
Online Access:https://www.tandfonline.com/doi/10.1080/20964471.2023.2257905

Internet

https://www.tandfonline.com/doi/10.1080/20964471.2023.2257905

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