Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements

Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements

This paper proposes a multimodal and multi-task deep-learning model for instantaneous precipitation rate estimation. Using both thermal infrared satellite radiometer and automatic rain gauge measurements as input, our encoder−decoder convolutional neural network performs a multiscale analy...

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Bibliographic Details
Main Authors: Arthur Moraux, Steven Dewitte, Bruno Cornelis, Adrian Munteanu
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
rain detection
rain rate estimation
qpe
msg seviri
rain gauge
deep learning
convolutional neural network
semantic segmentation
Online Access:https://www.mdpi.com/2072-4292/11/21/2463

Internet

https://www.mdpi.com/2072-4292/11/21/2463

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