Mapping and monitoring land use land cover dynamics employing Google Earth Engine and machine learning algorithms on Chattogram, Bangladesh. [PDF]
Heliyon, 2023 Biswas J +4 more
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Efficient large-scale land cover change detection using Google Earth Engine: Climate-driven vegetation dynamics in Asian drylands (2001-2022). [PDF]
PLoS OneWu J, Wei S, Hao H, Chen M, Ismail S.
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A review of AI-driven Google Earth Engine applications in surface water monitoring, assessment, and management. [PDF]
Discov GeosciJahangeer J, Joshi P, Kapoor A, Tang Z.
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Time series flood mapping using the Copernicus dataset in Google Earth Engine of the Mountainous Region. [PDF]
Data BriefThapa N, Nepali S, Shrestha R, Sanjel S.
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A national-scale assessment of land use change in peatlands between 1989 and 2020 using Landsat data and Google Earth Engine-a case study of Ireland. [PDF]
Reg Environ Change, 2023 Habib W, Connolly J.
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Spatiotemporal Heterogeneity of Surface Soil Organic Carbon in China: Novel Insights from Interpretable Machine Learning Coupled with Google Earth Engine. [PDF]
ACS Environ AuSun Y +5 more
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Machine learning-based country-level annual air pollutants exploration using Sentinel-5P and Google Earth Engine. [PDF]
Sci Rep, 2023 Halder B +10 more
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Monitoring LULC dynamics and detecting transformation hotspots in sylhet, Bangladesh (2000-2023) using Google Earth Engine. [PDF]
Sci RepNazmul Haque SM, Uddin MJ.
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Mapping of Land Cover with Optical Images, Supervised Algorithms, and Google Earth Engine. [PDF]
Sensors (Basel), 2022 Pech-May F +3 more
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