Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data

Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data

A new satellite-based algorithm for rainfall retrieval in high spatio-temporal resolution for Ecuador is presented. The algorithm relies on the precipitation information from the Integrated Multi-SatEllite Retrieval for the Global Precipitation Measurement (GPM) (IMERG) and infrared (IR) data from t...

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Bibliographic Details
Main Authors: Nazli Turini, Boris Thies, Natalia Horna, Jörg Bendix
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:European Journal of Remote Sensing
Subjects:
ecuador
goes-16
gpm imerg
machine learning
rainfall retrieval
random forest
Online Access:http://dx.doi.org/10.1080/22797254.2021.1884002

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