Scientific Paper · 2024-11-18
Deep Learning Waterways for Rural Infrastructure Development
AI-powered mapping with WaterNet improves waterway detection in underserved regions, aiding rural infrastructure development and humanitarian planning.
Tool · source-verified
SkyTruth Cerulean
Author or publisher unknown · Publication date unknown
This AI-powered tool uses AI to detect ocean oil pollution and link it to their most likely source. It can find oil slicks in satellite imagery using machine learning models and identify nearby vessels and offshore oil platforms that may be responsible for those slicks.
Source identity and required public metadata were editorially reviewed on 2026-09-15.
Show citation
Author unknown. Date unknown. SkyTruth Cerulean. https://cerulean.skytruth.org/?area=5_100&classes=2_3_4_5_6_7_8&date_range=2024-05-25_2025-05-25&hitl_classes=2_3_4_5_6_7_8_9&hitl_review=0_1&min_confidence=0.7&source_limit=3&source_score=0_Infinity&sources=1_2_3 (AI & Environment Resource Hub; record atlas-d3510fa836d6; collection snapshot 2026-09-15).
Classification and context
Included in the original Tool collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
lifecycle
orientation
Available source metadata
- Author or creator
- Unknown or not supplied
- Publisher
- Unknown or not supplied
- Publication date
- Unknown or not supplied
- Date precision
- unknown
- Geographic scope
- Unknown
- Access
- free
- Language
- unknown
- Peer review
- unknown
- Source status
- verified
- Last verified
- 2026-09-15T00:00:00.000Z
- Snapshot import
- 2026-09-06
- Legacy domain
- Water & Oceans
- Legacy subdomain
- Unknown or not supplied
Provenance and review
Selected fields checked: · 2026-09-06. Editorial review confirmed this record against its current source page/file; limited or generic machine-readable metadata prevented automatic corroboration. Verification source ↗
Source sheet: Tool · Row 123 · Original ID: Not supplied.
Inclusion does not establish effectiveness, maintenance, or endorsement. Check access and current documentation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
Suggest a correction for this record →Related through shared environmental topics
Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Research tools and geospatial methods; Energy and electricity; Water; Oceans and coasts
Shared topics: Research tools and geospatial methods; Water; Oceans and coasts
Scientific Paper · 2025-09-25
A Sentinel-3 Foundation Model for Ocean Colour
This study introduces a new foundation model based on the Prithvi-EO Vision Transformer, pre-trained on Sentinel-3 ocean color data, to enhance marine Earth observation. By fine-tuning on chlorophyll and primary production tasks, the model outperforms traditional baselines, showing that self-trained AI can extract detailed spatial patterns from limited labeled data and improve monitoring of ocean ecosystems and climate processes.
Shared topics: Energy and electricity; Water; Oceans and coasts
Multimedia · 2026-06-25
Addressing Water Challenges for AI and Data Centres
Artificial Intelligence (AI) has the potential to transform how water is managed. Yet, these emerging opportunities raise critical considerations around issues such as data governance, energy use, and the environmental footprint of digital infrastructure. To explore these challenges and opportunities, IWRA is launching a new webinar series: "The Promises and Challenges of AI, Data Centres & Freshwater Futures". Bringing together experts from around the world, the series examines the intersection of emerging technologies and water sustainability.
Shared topics: Energy and electricity; Water; Oceans and coasts
Multimedia · 2025-08-01
AI Consumes A Lot of Water But Why?
We know that AI models require a lot of compute power and thus consume a lot of electricity, but have you ever considered the massive amounts of water consumption that AI requires? Check out this fascinating Ted Talk with Dr. Shaolei Ren.