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Google Earth Engine (GEE) for Modeling and Monitoring Hydrometeorological Events Using Remote Sensing Data

Google Earth Engine (GEE) for Modeling and Monitoring Hydrometeorological Events Using Remote Sensing Data
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Author(s): Khaled Mohmmad Amin Hazaymeh (Yarmouk University, Jordan)and Mohammad Zeitoun (Yarmouk University, Jordan)
Copyright: 2024
Pages: 21
Source title: Modeling and Monitoring Extreme Hydrometeorological Events
Source Author(s)/Editor(s): Carmen Maftei (Transilvania University of Brasov, Romania), Radu Muntean (Transilvania University of Brașov, Romania)and Ashok Vaseashta (International Clean Water Institute, USA)
DOI: 10.4018/978-1-6684-8771-6.ch006

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Abstract

Google Earth Engine (GEE) has emerged as a powerful platform for modeling and monitoring extreme hydrometeorological events. In recent years, GEE has been used extensively for studying floods, droughts, and other natural disasters. It offers a comprehensive suite of tools that can help researchers and practitioners better understand the complex interactions between weather, climate, and water resources. By providing access to a wealth of satellite imagery, climate data, and geospatial datasets, GEE enables users to model and monitor these events with unprecedented accuracy and efficiency. This book chapter explores the various ways in which GEE can be used for modeling and monitoring extreme hydrometeorological events, understanding hydrometeorological events and their monitoring needs, including case studies and practical examples. It's worth noting that this chapter mainly focuses on using GEE for remote sensing and geospatial data analysis into hydrometeorological modeling and monitoring.

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