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References from Seeing SDG 6 from space: Local-scale monitoring of piped water and sewage systems across Africa using satellite imagery and self-supervised learning. Local targets link to admitted publications; unresolved targets remain external evidence.
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2019 · External reference
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2023 · External reference
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2024 · External reference
Evaluating the label efficiency of contrastive self-supervised learning for multi-resolution satellite imagery
2022 · External reference
Using satellite imagery to understand and promote sustainable development
10.1126/science.abe8628 · 2021 · External reference
Emerging properties in self-supervised vision transformers
2021 · External reference
Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17
10.1016/s2214-109x(20)30278-3 · 2020 · External reference
SDG 6 progress analyses in Sub-Saharan Africa from 2015–2020: The need for urgent action
10.1007/s43832-024-00099-5 · 2024 · External reference
Tracking progress towards global drinking water and sanitation targets: A within and among country analysis
2016 · External reference
CROMA: Remote sensing representations with contrastive radar-optical masked autoencoders
2023 · External reference
Google Earth Engine: Planetary-scale geospatial analysis for everyone
10.1016/j.rse.2017.06.031 · 2017 · External reference
Mapping safe drinking water use in low- and middle-income countries
10.1126/science.adh9578 · 2024 · External reference
Monitoring water-related ecosystems with earth observation data in support of Sustainable Development Goal (SDG) 6 reporting
10.3390/rs12101634 · 2020 · External reference
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2021 · External reference
Combining satellite imagery and machine learning to predict poverty
10.1126/science.aaf7894 · 2016 · External reference
Improving spatial variation of ground-level PM2.5 prediction with contrastive learning from satellite imagery
2022 · External reference
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2024 · External reference
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2017 · External reference
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2025 · External reference
Global revisit interval analysis of Landsat-8/-9 and Sentinel-2A/-2B data for terrestrial monitoring
10.3390/s20226631 · 2020 · External reference
Global and local contrastive self-supervised learning for semantic segmentation of HR remote sensing images
2022 · External reference
Unresolved reference
2022 · External reference
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2023 · External reference
10.1145/3219819.3219924
10.1145/3219819.3219924 · External reference
Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
10.1016/j.earscirev.2020.103187 · 2020 · External reference
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2025 · External reference
Application of remote sensing technology in water quality monitoring: From traditional approaches to artificial intelligence
10.1016/j.watres.2024.122546 · 2024 · External reference
Prithvi-EO-2.0: A versatile multi-temporal foundation model for earth observation applications
2025 · External reference
Galileo: Learning global & local features of many remote sensing modalities
2025 · External reference
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2023 · External reference
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2015 · External reference
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2023 · External reference
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2024 · External reference
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2024 · External reference
SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation
10.1109/mgrs.2023.3281651 · 2023 · External reference
An urban water extraction method combining deep learning and Google Earth Engine
10.1109/jstars.2020.2971783 · 2020 · External reference
Unresolved reference
2025 · External reference
Development of remote sensing algorithm for total phosphorus concentration in Eutrophic Lakes: Conventional or machine learning?
10.1016/j.watres.2022.118213 · 2022 · External reference
Using publicly available satellite imagery and deep learning to understand economic well-being in Africa
10.1038/s41467-020-16185-w · 2020 · External reference
