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
doaj +2 more sources
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
Andrés Velastegui-Montoya +5 more
doaj +2 more sources
Implementation of the LandTrendr Algorithm on Google Earth Engine
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 ...
Robert E Kennedy +6 more
doaj +2 more sources
Harmonized Landsat and Sentinel-2 Data with Google Earth Engine
Remote SensingContinuous and dense time series of satellite remote sensing data are needed for several land monitoring applications, including vegetation phenology, in-season crop assessments, and improving land use and land cover classification.
Elias Fernando Berra +3 more
doaj +2 more sources
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
doaj +2 more sources
Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models. [PDF]
Sci RepUrban expansion and changes in land use/land cover (LULC) have intensified in recent decades due to human activity, influencing ecological and developmental landscapes.
Zhang A +7 more
europepmc +2 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. The methodology relies on change detection, comparing pre-event and post-event images.
Rosa Johary +7 more
doaj +1 more source
Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine. [PDF]
Sci RepIn this study, a data-driven approach employed by utilizing the product called JRC-Global surface water mapping layers V1.4 on the Google Earth Engine (GEE) to map and monitor the effects of climate change on surface water resources.
Kazemi Garajeh M +5 more
europepmc +2 more sources
Free global DSM assessment on large scale areas exploiting the potentialities of the innovative google earth engine platform [PDF]
, 2017 The high-performance cloud-computing platform Google Earth Engine has been developed for global-scale analysis based on the Earth observation data. In particular, in this work, the geometric accuracy of the two most used nearly-global free DSMs (SRTM and
Amicuzi, Maria Teresa +5 more
core +7 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing and analyzing of which are not practical using common software packages and desktop computing resources.
Arsalan Ghorbanian Seyed +13 more
semanticscholar +1 more source