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Progress and Trends in the Application of Google Earth and Google Earth Engine
Remote Sensing, 2021 Earth system science has changed rapidly due to global environmental changes and the advent of Earth observation technology. Therefore, new tools are required to monitor, measure, analyze, evaluate, and model Earth observation data. Google Earth (GE) was
Qiang Zhao +5 more
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The Google Earth Engine Mangrove Mapping Methodology (GEEMMM)
Remote Sensing, 2020 Mangroves are found globally throughout tropical and sub-tropical inter-tidal coastlines. These highly biodiverse and carbon-dense ecosystems have multi-faceted value, providing critical goods and services to millions living in coastal communities and ...
J. Maxwell M. Yancho +5 more
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Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing
Remote Sensing, 2020 Accurate precipitation data at high spatiotemporal resolution are critical for land and water management at the basin scale. We proposed a downscaling framework for Tropical Rainfall Measuring Mission (TRMM) precipitation products through integrating ...
Abdelrazek Elnashar +11 more
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Multitemporal Cloud Masking in the Google Earth Engine
Remote Sensing, 2018 The exploitation of Earth observation satellite images acquired by optical instruments requires an automatic and accurate cloud detection. Multitemporal approaches to cloud detection are usually more powerful than their single scene counterparts since ...
Gonzalo Mateo-García +4 more
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Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
Remote Sensing, 2018 The Google Earth Engine (GEE) portal provides enhanced opportunities for undertaking earth observation studies. Established towards the end of 2010, it provides access to satellite and other ancillary data, cloud computing, and algorithms for processing ...
Lalit Kumar, Onisimo Mutanga
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Global Estimation of Biophysical Variables from Google Earth Engine Platform
Remote Sensing, 2018 This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation Cover (FVC), and Canopy water content (CWC) maps from 15-years of MODIS data ...
Manuel Campos-Taberner +6 more
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Using of Google Earth Engine in monitoring systems [PDF]
E3S Web of Conferences, 2021 Google Earth Engine (GEE) cloud service is a powerful tool for environmental research. An example of using GEE to solve a typical research problem is shown.
Fedotova Elena, Gosteva Anna
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Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
Remote Sensing, 2021 Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications.
Adugna Mullissa +7 more
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Detection of Large-Scale Floods Using Google Earth Engine and Google Colab
Remote Sensing, 2023 This paper presents an operational approach for detecting floods and establishing flood extent using Sentinel-1 radar imagery with Google Earth Engine. The methodology relies on change detection, comparing pre-event and post-event images.
Rosa Johary +7 more
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Post-Disaster Recovery Monitoring with Google Earth Engine
Applied Sciences, 2020 Post-disaster recovery is a complex process in terms of measuring its progress after a disaster and understanding its components and influencing factors.
Saman Ghaffarian +2 more
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