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Progress and Trends in the Application of Google Earth and Google Earth Engine [PDF]

open access: yesRemote 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
doaj   +4 more sources

Multitemporal Cloud Masking in the Google Earth Engine [PDF]

open access: yesRemote 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
doaj   +4 more sources

Detection of Large-Scale Floods Using Google Earth Engine and Google Colab

open access: yesRemote 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
doaj   +3 more sources

Using of Google Earth Engine in monitoring systems [PDF]

open access: yesE3S 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
doaj   +2 more sources

Post-Disaster Recovery Monitoring with Google Earth Engine [PDF]

open access: yesApplied 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
doaj   +2 more sources

The Google Earth Engine Mangrove Mapping Methodology (GEEMMM) [PDF]

open access: yesRemote 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
doaj   +2 more sources

Google Earth Engine Applications Since Inception: Usage, Trends, and Potential

open access: yesRemote 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
doaj   +3 more sources

Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine

open access: yesRemote 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
doaj   +1 more source

CHINA FOREST COVER EXTRACTION BASED ON GOOGLE EARTH ENGINE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Forest cover rate is the principal indice to reflect the forest acount of a nation and region. In view of the difficulty of accurately calculating large-scale forest area by traditional statistical survey methods, it is proposed to extract China forest ...
Y. T. Guo   +9 more
doaj   +1 more source

AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Cloud coverage is one of the biggest concerns in spaceborne optical remote sensing, because it hampers a continuous monitoring of the Earth’s surface.
M. Schmitt   +4 more
doaj   +1 more source

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