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 …

Google earth engine applications

O Mutanga, L Kumar - Remote sensing, 2019 - mdpi.com
Remote Sensing | Free Full-Text | Google Earth Engine Applications Next Article in Journal
Mapping Pure Mangrove Patches in Small Corridors and Sandbanks Using Airborne …

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) …

The first wetland inventory map of newfoundland at a spatial resolution of 10 m using sentinel-1 and sentinel-2 data on the google earth engine cloud computing …

M Mahdianpari, B Salehi, F Mohammadimanesh… - Remote Sensing, 2018 - mdpi.com
Wetlands are one of the most important ecosystems that provide a desirable habitat for a
great variety of flora and fauna. Wetland mapping and modeling using Earth Observation …

Amazon hydrology from space: scientific advances and future challenges

AC Fassoni‐Andrade, AS Fleischmann… - Reviews of …, 2021 - Wiley Online Library
As the largest river basin on Earth, the Amazon is of major importance to the world's climate
and water resources. Over the past decades, advances in satellite‐based remote sensing …

Gold mining in the Amazon Region of ecuador: History and a review of its socio-environmental impacts

C Mestanza-Ramón, J Cuenca-Cumbicus, G D'Orio… - Land, 2022 - mdpi.com
Artisanal and small-scale gold mining (ASGM) and large-scale mining in the Ecuadorian
Amazon region is potentially harmful to nature, and its impacts are associated with …

Deep feature enhancement method for land cover with irregular and sparse spatial distribution features: A case study on open-pit mining

G Zhou, J Xu, W Chen, X Li, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Land cover classification in mining areas (LCMA) is essential for the environmental
assessment of mines and plays a crucial role in their sustainable development. The shapes …

The large footprint of small-scale artisanal gold mining in Ghana

A Barenblitt, A Payton, D Lagomasino… - Science of the Total …, 2021 - Elsevier
Gold mining has played a significant role in Ghana's economy for centuries. Regulation of
this industry has varied over time and while industrial mining is prevalent in the country, the …

Progress in the remote sensing monitoring of the ecological environment in mining areas

W Song, W Song, H Gu, F Li - International Journal of Environmental …, 2020 - mdpi.com
Based on the results of an extensive literature research, we summarize the research
progress of remote sensing monitoring in terms of identifying mining area boundaries and …