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Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing

https://doi.org/10.1371/journal.pone.0184926
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Subpixel forest cover in central Africa from multisensor, multitemporal data
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Random Forests
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Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
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Global land cover classification at 1 km spatial resolution using a classification tree approach
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Continuous fields of land cover for the conterminous United States using Landsat data: first results from the Web-Enabled Landsat Data (WELD) project
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Intercalibration and Gaussian Process Modeling of Nighttime Lights Imagery for Measuring Urbanization Trends in Africa 2000–2013
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inferred← citeshttps://doi.org/10.1371/journal.pone.0227438openalex-snapshot
Cloud-computing and machine learning in support of country-level land cover and ecosystem extent mapping in Liberia and Gabon
inferred← citeshttps://doi.org/10.1371/journal.pone.0269120openalex-snapshot
Towards a concrete landscape: Assessing the efficiency of land consumption in the Greater Accra Region, Ghana
inferred← citeshttps://doi.org/10.1371/journal.pone.0288694openalex-snapshot
Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model
inferred← citeshttps://doi.org/10.1371/journal.pone.0311816openalex-snapshot
Monitoring forest cover and land use change in the Congo Basin under IPCC climate change scenarios
inferred← citeshttps://doi.org/10.15294/jpii.v13i1.45277openalex-snapshot
Comparison of SWAT-based Ecohydrological Modeling in the Rawa Pening Catchment Area, Indonesia
inferred← citeshttps://doi.org/10.1590/1519-6984.263339openalex-snapshot
Perception of Amazonian fishers regarding environmental changes as causes of drastic events of fish mortality
inferred← citeshttps://doi.org/10.17211/tcd.1296893openalex-snapshot
Arazi Örtüsü Haritalamasında Farklı Makine Öğrenmesi Algoritmalarının Değerlendirilmesi: İzmir İli Örneği
inferred← citeshttps://doi.org/10.18687/laccei2018.1.1.307openalex-snapshot
Tunki Project: Wetland Remote Sensing using Satellite Images and High Performance Computing
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10678132/v1openalex-snapshot
Coupling advanced earth observation, Machine learning, GeoAI, and CA-ANN model for assessing Spatio-temporal LULC change in Gilgel Gibe I Watershed, Upper Omo-Gibe Basin, Ethiopia
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1633994/v1openalex-snapshot
Using Google Earth Engine for the complete pipeline of temporal analysis of NDVI in Chitwan National Park of Nepal
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1633994/v2openalex-snapshot
Using Google Earth Engine for the complete pipeline of temporal analysis of NDVI in Chitwan National Park of Nepal
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1633994/v3openalex-snapshot
Using Google Earth Engine for the complete pipeline of temporal analysis of NDVI in Chitwan National Park of Nepal
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2716913/v1openalex-snapshot
Spatial temporal analysis of the mangrove forest using the google earth engine cloud computing platform for Pichavaram, South East Coast of India
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3278852/v1openalex-snapshot
Tracing the Land Use Changes in Ishurdi and Bheramara Upazila, Bangladesh: Application of Google Earth Engine
inferred← citeshttps://doi.org/10.2139/ssrn.5257379openalex-snapshot
Next-Generation Conservation Monitoring: Leveraging Cloud Computing and Machine Learning for Early Warning Systems in Meteoritic Lake Ecosystems
inferred← citeshttps://doi.org/10.2166/wcc.2025.586openalex-snapshot
Impacts of anthropogenic activities on land use land cover change dynamics in the Ogun River Basin, Nigeria
inferred← citeshttps://doi.org/10.24057/2071-9388-2024-2984openalex-snapshot
Modeling land use change of mid-sized cities in the process of metropolization. Case study La Serena-Coquimbo conurbation, Chile
inferred← citeshttps://doi.org/10.26833/ijeg.1870242openalex-snapshot
Improving Land Cover Classification Accuracy Using Ancillary Data: A Sentinel-2 and Google Earth Engine Study in 19 Mayıs District, Türkiye
inferred← citeshttps://doi.org/10.28948/ngumuh.1279129openalex-snapshot
Investigation of Urban Heat Island and Carbon Monoxide Change Using Google Earth Engine in Konya
inferred← citeshttps://doi.org/10.29128/geomatik.1472160openalex-snapshot
Google Earth Engine kullanılarak makine öğrenmesi tabanlı iyileştirilmiş arazi örtüsü sınıflandırması: Atakum, Samsun örneği
inferred← citeshttps://doi.org/10.29128/geomatik.975714openalex-snapshot
İstanbul Terkos Gölü zamansal değişiminin Google Earth Engine kullanılarak belirlenmesi
inferred← citeshttps://doi.org/10.31223/x5wd0mopenalex-snapshot
Agricultural Sandbox NL: A national-scale database of parcel-level, processed Sentinel-1 SAR data
inferred← citeshttps://doi.org/10.31548/forest/1.2023openalex-snapshot
inferred← citeshttps://doi.org/10.31548/forest/1.2023.72openalex-snapshot
Land cover classification and urbanization monitoring using Landsat data: A case study in Changsha city, Hunan province, China
inferred← citeshttps://doi.org/10.33140/jrar.03.02.04openalex-snapshot
Using Google Earth Engine for the complete pipeline of temporal analysis of NDVI in Chitwan National Park of Nepal
inferred← citeshttps://doi.org/10.3389/feart.2020.00308openalex-snapshot
Upward Expansion of Supra-Glacial Debris Cover in the Hunza Valley, Karakoram, During 1990 ∼ 2019
inferred← citeshttps://doi.org/10.3390/ijgi9100580openalex-snapshot
Monitoring Forest Change in the Amazon Using Multi-Temporal Remote Sensing Data and Machine Learning Classification on Google Earth Engine
inferred← citeshttps://doi.org/10.3390/land10060585openalex-snapshot
A Review on Land Use and Land Cover Change in Ethiopian Basins
inferred← citeshttps://doi.org/10.3390/land10111208openalex-snapshot
Changes in the Country and Their Impact on Topographic Data of Agricultural Land—A Case Study of Slovakia
inferred← citeshttps://doi.org/10.3390/land13020151openalex-snapshot
The Role of Tourism Planning in Land-Use/Land-Cover Changes in the Kızkalesi Tourism Destination
inferred← citeshttps://doi.org/10.3390/land9040113openalex-snapshot
Drivers and Implications of Land Use/Land Cover Dynamics in Finchaa Catchment, Northwestern Ethiopia
inferred← citeshttps://doi.org/10.3390/rs11050554openalex-snapshot
Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs11141735openalex-snapshot
Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests
inferred← citeshttps://doi.org/10.3390/rs12010129openalex-snapshot
Detecting Forest Disturbance and Recovery in Primorsky Krai, Russia, Using Annual Landsat Time Series and Multi–Source Land Cover Products
inferred← citeshttps://doi.org/10.3390/rs12040602openalex-snapshot
Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs12040610openalex-snapshot
Mapping Forest Composition with Landsat Time Series: An Evaluation of Seasonal Composites and Harmonic Regression
inferred← citeshttps://doi.org/10.3390/rs12071057openalex-snapshot
Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis
inferred← citeshttps://doi.org/10.3390/rs12162589openalex-snapshot
Analyzing the Uncertainty of Degree Confluence Project for Validating Global Land-Cover Maps Using Reference Data-Based Classification Schemes
inferred← citeshttps://doi.org/10.3390/rs12172792openalex-snapshot
Introducing GEOBIA to Landscape Imageability Assessment: A Multi-Temporal Case Study of the Nature Reserve “Kózki”, Poland
inferred← citeshttps://doi.org/10.3390/rs12172829openalex-snapshot
Quantifying Land Use Land Cover Changes in the Lake Victoria Basin Using Satellite Remote Sensing: The Trends and Drivers between 1985 and 2014
inferred← citeshttps://doi.org/10.3390/rs12182907openalex-snapshot
Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region
inferred← citeshttps://doi.org/10.3390/rs12213523openalex-snapshot
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery
inferred← citeshttps://doi.org/10.3390/rs12233847openalex-snapshot
Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings
inferred← citeshttps://doi.org/10.3390/rs12244086openalex-snapshot
A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery
inferred← citeshttps://doi.org/10.3390/rs12244145openalex-snapshot
Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps
inferred← citeshttps://doi.org/10.3390/rs13040543openalex-snapshot
Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China
inferred← citeshttps://doi.org/10.3390/rs13081433openalex-snapshot
Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs13091623openalex-snapshot
Improving Land Cover Classification Using Genetic Programming for Feature Construction
inferred← citeshttps://doi.org/10.3390/rs13122301openalex-snapshot
Continental-Scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)
inferred← citeshttps://doi.org/10.3390/rs13152869openalex-snapshot
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth
inferred← citeshttps://doi.org/10.3390/rs13183778openalex-snapshot
Progress and Trends in the Application of Google Earth and Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs13245064openalex-snapshot
Testing Accuracy of Land Cover Classification Algorithms in the Qilian Mountains Based on GEE Cloud Platform
inferred← citeshttps://doi.org/10.3390/rs14143253openalex-snapshot
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/rs14164023openalex-snapshot
Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam)
inferred← citeshttps://doi.org/10.3390/rs15040984openalex-snapshot
Drought Monitoring Using Landsat Derived Indices and Google Earth Engine Platform: A Case Study from Al-Lith Watershed, Kingdom of Saudi Arabia
inferred← citeshttps://doi.org/10.3390/rs15164092openalex-snapshot
An Application of Machine-Learning Model for Analyzing the Impact of Land-Use Change on Surface Water Resources in Gauteng Province, South Africa
inferred← citeshttps://doi.org/10.3390/rs16142677openalex-snapshot
Multi-Tier Land Use and Land Cover Mapping Framework and Its Application in Urbanization Analysis in Three African Countries
inferred← citeshttps://doi.org/10.3390/s20072091openalex-snapshot
Land Cover Change in the Central Region of the Lower Yangtze River Based on Landsat Imagery and the Google Earth Engine: A Case Study in Nanjing, China
inferred← citeshttps://doi.org/10.3390/s26082318openalex-snapshot
Significant Land Cover Transitions and Regional Acceleration at the Continental Scale of Africa over the Last Four Decades
inferred← citeshttps://doi.org/10.3390/su12093607openalex-snapshot
Spatiotemporal Analysis of Land Cover Changes in the Chemoga Basin, Ethiopia, Using Landsat and Google Earth Images
inferred← citeshttps://doi.org/10.3390/su12114643openalex-snapshot
Rank-size Distribution of Cities and Municipalities in Bangladesh
inferred← citeshttps://doi.org/10.3390/su132413758openalex-snapshot
Analysis of Land Use and Land Cover Using Machine Learning Algorithms on Google Earth Engine for Munneru River Basin, India
inferred← citeshttps://doi.org/10.3390/su132413962openalex-snapshot
A Diachronic Analysis of a Changing Landscape on the Duero River Borderlands of Spain and Portugal Combining Remote Sensing and Ethnographic Approaches
inferred← citeshttps://doi.org/10.3390/su14020642openalex-snapshot
Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability: An Analysis in the Aurangabad District of Maharashtra State, India
inferred← citeshttps://doi.org/10.3390/su142416673openalex-snapshot
Landscape Pattern Consistency Assessment of 10 m Land Cover Products in Different Ecological Zoning Contexts of Sichuan Province, China
inferred← citeshttps://doi.org/10.3390/su142416687openalex-snapshot
Quantifying Mangrove Extent Using a Combination of Optical and Radar Images in a Wetland Complex, Western Region, Ghana
inferred← citeshttps://doi.org/10.3390/w17131956openalex-snapshot
Enhancing Transboundary Water Governance Using African Earth Observation Data Cubes in the Nile River Basin: Insights from the Grand Ethiopian Renaissance Dam and Roseries Dam
inferred← citeshttps://doi.org/10.4236/ojapps.2026.161005openalex-snapshot
An Explainable Wavelet-Based Feature Decomposition and Machine Learning Framework for Land Cover Classification
inferred← citeshttps://doi.org/10.46326/jmes.2021.62(3).07openalex-snapshot
Application of Remote Sensing Imagery and Algorithms in Google Earth Engine platform for Drought Assessment
inferred← citeshttps://doi.org/10.5194/hess-2019-116openalex-snapshot
A non-stationary model for reconstruction of historical annual runoff on tropical catchments under increasing urbanization (Yaoundé, Cameroon)
inferred← citeshttps://doi.org/10.5194/isprs-annals-v-3-2020-681-2020openalex-snapshot
SPATIAL DATA QUALITY EVALUATION FOR LAND COVER CLASSIFICATION APPROACHES
inferred← citeshttps://doi.org/10.52403/ijrr.20230532openalex-snapshot
Monitoring of Land Use Dynamics in the Autonomous District of Abidjan Between 2002 and 2022 using the Google Earth Engine Platform
inferred← citeshttps://doi.org/10.52446/cursoengbiossistemascdsa.2015.tccmon.sousaopenalex-snapshot
Aplicação do algoritmo Random Forest para classificação do uso e cobertura da terra na Bacia Hidrográfica do Rio Sucuru utilizando o Google Earth Engine.
inferred← citeshttps://doi.org/10.52446/cursoengbiossistemascdsa.2023.tccmon.sousa0openalex-snapshot
Aplicação do algoritmo Random Forest para classificação do uso e cobertura da terra na Bacia Hidrográfica do Rio Sucuru utilizando o Google Earth Engine.
inferred← citeshttps://doi.org/10.54660/anfo.2022.3.3.11openalex-snapshot
"Earth engine application to retrieve long-term terrestrial and aquatic time series of satellite reflectance data"
inferred← citeshttps://doi.org/10.5937/gp28-47299openalex-snapshot
Monitoring and predicting land use/land cover dynamics in Djelfa city, Algeria, using Google Earth Engine and a Multi Layer Perceptron Markov Chain model
inferred← citeshttps://doi.org/10.70675/2224a966zb51ez4591z93fezff03ec11d0dbopenalex-snapshot
Approche mixte instrumentation-modélisation hydrologique multi-échelle d’un bassin tropical peu jaugé soumis à des changements d’occupation des sols : cas du bassin de la Méfou (Yaoundé, Cameroun)
inferred← citeshttps://doi.org/10.7717/peerj.7841openalex-snapshot
Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia
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