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Google Earth Engine Applications [PDF]
Remote Sensing, 2019 The Google Earth Engine (GEE) is a cloud computing platform designed to store and process huge data sets (at petabyte-scale) for analysis and ultimate decision making [...]
Onisimo Mutanga, Lalit Kumar 0002
doaj +11 more sources
Progress and Trends in the Application of Google Earth and Google Earth Engine [PDF]
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 officially launched by Google in 2005 as a ”geobrowser”, and Google Earth Engine (GEE) was released
Qiang Zhao, Le Yu, Xuecao Li
exaly +4 more sources
Multitemporal Cloud Masking in the Google Earth Engine [PDF]
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 the presence of clouds varies greatly from one acquisition to another whereas surface can be assumed ...
Gonzalo Mateo-García +2 more
exaly +4 more sources
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. Flooded areas are identified using a change-detection method based on the normalized difference. The HAND algorithm is used to delineate zones for processing.
Johary, Rosa +7 more
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Google Earth Engine: A Global Analysis and Future Trends
Remote Sensing, 2023 The continuous increase in the volume of geospatial data has led to the creation of storage tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform that facilitates geoprocessing, making it a tool of great interest to the academic and research world.
Andrés Velastegui-Montoya +5 more
doaj +4 more sources
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. The following data extraction and analysis operations were used: filtering data from sets, constructing functions, building graphs, selecting data using vector and raster masks.
E. V. Fedotova, Anna Gosteva
doaj +3 more sources
Post-Disaster Recovery Monitoring with Google Earth Engine [PDF]
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. During this process, disaster planners and governments need reliable information to make decisions towards building the affected region back to normal (pre-disaster), or even improved, conditions ...
Saman Ghaffarian +2 more
doaj +5 more sources
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review [PDF]
Remote Sensing, 2022 Remote sensing (RS) plays an important role gathering data in many critical domains (e.g., global climate change, risk assessment and vulnerability reduction of natural hazards, resilience of ecosystems, and urban planning). Retrieving, managing, and analyzing large amounts of RS imagery poses substantial challenges.
Liping Yang, Qiusheng Wu, Haifei Chen
exaly +4 more sources
The Google Earth Engine Mangrove Mapping Methodology (GEEMMM) [PDF]
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 making significant contributions to global climate change mitigation through carbon sequestration and ...
J. Maxwell M. Yancho +5 more
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Implementation of the LandTrendr Algorithm on Google Earth Engine [PDF]
Remote Sensing, 2018 The LandTrendr (LT) algorithm has been used widely for analysis of change in Landsat spectral time series data, but requires significant pre-processing, data management, and computational resources, and is only accessible to the community in a proprietary programming language (IDL). Here, we introduce LT for the Google Earth Engine (GEE) platform.
Robert E. Kennedy +6 more
openaire +3 more sources