[HTML][HTML] 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 …

[HTML][HTML] 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 …

Comparison between random forest and support vector machine algorithms for LULC classification

C Avcı, M Budak, N Yağmur, F Balçık - International Journal of …, 2023 - dergipark.org.tr
Nowadays, machine learning (ML) algorithms have been widely chosen for classifying
satellite images for map** Earth's surface. Support Vector Machine (SVM) and Random …

[HTML][HTML] Analysis of land use and land cover using machine learning algorithms on google earth engine for Munneru River Basin, India

KN Loukika, VR Keesara, V Sridhar - Sustainability, 2021 - mdpi.com
The growing human population accelerates alterations in land use and land cover (LULC)
over time, putting tremendous strain on natural resources. Monitoring and assessing LULC …

Machine learning classification of mediterranean forest habitats in google earth engine based on seasonal sentinel-2 time-series and input image composition …

S Praticò, F Solano, S Di Fazio, G Modica - Remote sensing, 2021 - mdpi.com
The sustainable management of natural heritage is presently considered a global strategic
issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) …

Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change

RJ Boothroyd, RD Williams, TB Hoey… - Wiley …, 2021 - Wiley Online Library
Cloud‐based computing, access to big geospatial data, and virtualization, whereby users
are freed from computational hardware and data management logistics, could revolutionize …

An urban water extraction method combining deep learning and Google Earth engine

Y Wang, Z Li, C Zeng, GS **a… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Urban water is important for the urban ecosystem. Accurate and efficient detection of urban
water with remote sensing data is of great significance for urban management and planning …

Accuracy improvements to pixel-based and object-based lulc classification with auxiliary datasets from Google Earth engine

L Qu, Z Chen, M Li, J Zhi, H Wang - Remote Sensing, 2021 - mdpi.com
The monitoring and assessment of land use/land cover (LULC) change over large areas are
significantly important in numerous research areas, such as natural resource protection …

[HTML][HTML] Long-term changes of open-surface water bodies in the Yangtze River basin based on the Google Earth Engine cloud platform

Y Deng, W Jiang, Z Tang, Z Ling, Z Wu - Remote Sensing, 2019 - mdpi.com
The spatiotemporal changes of open-surface water bodies in the Yangtze River Basin (YRB)
have profound influences on sustainable economic development, and are also closely …