Estimating Rainfall Intensity Using an Image-Based Convolutional Neural Network Inversion Technique for Potential Crowdsourcing Applications in Urban Areas

Estimating Rainfall Intensity Using an Image-Based Convolutional Neural Network Inversion Technique for Potential Crowdsourcing Applications in Urban Areas

High-quality rainfall data are essential in many water management problems, including stormwater management, water resources management, and more. Due to the high spatial–temporal variations, rainfall measurement could be challenging and costly, especially in urban areas. This could be even more cha...

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Bibliographic Details
Main Authors: Youssef Shalaby, Mohammed I. I. Alkhatib, Amin Talei, Tak Kwin Chang, Ming Fai Chow, Valentijn R. N. Pauwels
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Big Data and Cognitive Computing
Subjects:
CNN
citizen science
rainfall sensing
image processing
Online Access:https://www.mdpi.com/2504-2289/8/10/126

Internet

https://www.mdpi.com/2504-2289/8/10/126

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