Google Earth Engine and artificial intelligence (AI): a comprehensive review

L Yang, J Driscol, S Sarigai, Q Wu, H Chen, CD Lippitt - Remote Sensing, 2022 - mdpi.com
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

H Tamiminia, B Salehi, M Mahdianpari… - ISPRS journal of …, 2020 - Elsevier
Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …

GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery

X Zhang, L Liu, X Chen, Y Gao… - Earth System Science …, 2020 - essd.copernicus.org
Over past decades, a lot of global land-cover products have been released; however, these
still lack a global land-cover map with a fine classification system and spatial resolution …

Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated …

A Ghorbanian, M Kakooei, M Amani, S Mahdavi… - ISPRS Journal of …, 2020 - Elsevier
Accurate information about the location, extent, and type of Land Cover (LC) is essential for
various applications. The only recent available country-wide LC map of Iran was generated …

Progress and trends in the application of Google Earth and Google Earth Engine

Q Zhao, L Yu, X Li, D Peng, Y Zhang, P Gong - Remote Sensing, 2021 - mdpi.com
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 …

Google Earth Engine applications since inception: Usage, trends, and potential

L Kumar, O Mutanga - Remote sensing, 2018 - mdpi.com
The Google Earth Engine (GEE) portal provides enhanced opportunities for undertaking
earth observation studies. Established towards the end of 2010, it provides access to …

Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

B DeVries, C Huang, J Armston, W Huang… - Remote Sensing of …, 2020 - Elsevier
Synthetic aperture radar (SAR) sensors represent an indispensable data source for flood
disaster planners and responders, given their ability to image the Earth's surface nearly …

[HTML][HTML] Sentinel-2 cropland map** using pixel-based and object-based time-weighted dynamic time war** analysis

M Belgiu, O Csillik - Remote sensing of environment, 2018 - Elsevier
Efficient methodologies for map** croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …

[HTML][HTML] A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud …

P Teluguntla, PS Thenkabail, A Oliphant… - ISPRS journal of …, 2018 - Elsevier
Map** high resolution (30-m or better) cropland extent over very large areas such as
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …