Results 1 to 10 of about 4,305 (184)
Geo-Spatial Information ScienceAs the scale and complexity of spatiotemporal data continue to grow rapidly, the use of geospatial modeling on the Google Earth Engine (GEE) platform presents dual challenges: improving the coding efficiency of domain experts and enhancing the coding capabilities of interdisciplinary users.
Shuyang Hou +2 more
exaly +4 more sources
Some of the next articles are maybe not open access.
Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
Remote Sensing, 2018Lalit Kumar, Onisimo Mutanga
exaly
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)
Computers, Environment and Urban Systems, 2020 © 2020 Elsevier Ltd Google Earth Engine (GEE) has been increasingly used in environmental and urban studies due to its cloud-based geospatial processing capability and accessibility to a large collection of geospatial datasets like Landsat, Modis, etc ...
Jianyuan Liang +2 more
exaly +3 more sources
Soil erosion estimation and risk assessment based on RUSLE in Google Earth Engine (GEE) in Turkiye
Annals of GISSoil erosion is a critical challenge threatening agricultural productivity and environmental sustainability globally. This study presents the first estimation of water-induced soil loss in Ordu province, Turkey, using the Revised Universal Soil Loss ...
Endalamaw Dessie Alebachew +2 more
exaly +4 more sources
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, Le Yu, Xuecao Li
exaly +2 more sources
Google Earth Engine Applications [PDF]
, 2021 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 [1]. Following the free availability of Landsat series in 2008, Google archived all the
Mutanga, Onisimo, Kumar, Lalit
core +2 more sources
, 2023 Land cover information is the data neede in the management of watersheds. Identification to obtain land cover using a cloud-based spatial data processing platform Google Earth Engine (GEE).
Kharistya Amaru +5 more
core +1 more source
Damage evaluation of soybean chilling injury based on Google Earth Engine (GEE) and crop modelling [PDF]
Journal of Geographical Sciences, 2020 Frequent chilling injury has serious impacts on national food security and in northeastern China heavily affects grain yields. Timely and accurate measures are desirable for assessing associated large-scale impacts and are prerequisites to disaster reduction.
Juan Cao +5 more
openaire +1 more source
Google Earth Engine: A Global Analysis and Future Trends
, 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
Néstor Montalván-Burbano +5 more
core +1 more source
Post-disaster recovery monitoring with Google Earth Engine [PDF]
, 2020 Post-disaster recovery is a complex process in terms of measuring its progress after a disaster and understanding its components and influencing factors.
Kerle, N.; id_orcid +6 more
core +1 more source