An Open-Access Database of Nature-Based Carbon Offset Project Boundaries
Karnik, Akshata; Kilbride, John B.; Goodbody, Tristan R. H.; Ross, Rachael; Ayrey, Elias · 2025-04-05
Researchers created a global open-access database of 575 nature-based carbon offset project boundaries to improve transparency and verification, using both automated and manual geospatial methods with high accuracy.
Karnik, Akshata; Kilbride, John B.; Goodbody, Tristan R. H.; Ross, Rachael; Ayrey, Elias. 2025-04-05. An Open-Access Database of Nature-Based Carbon Offset Project Boundaries. https://www.nature.com/articles/s41597-025-04868-2#Abs1 (AI & Environment Resource Hub; record paper-240; collection snapshot 2026-09-15).
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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.
arXiv
Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Biodiversity and ecosystems
This study presents a new machine learning (Light Gradient Boosting Machine) approach to generate high-resolution, hourly maps of gross primary productivity (GPP) for East Asia (2020–2021). The paper highlights clear diurnal patterns across different land cover types and latitudes, offering valuable insights for ecosystem monitoring and carbon cycle modeling.
Remote Sensing of Environment
Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Biodiversity and ecosystems
Earth Map is an innovative, free and open-source tool developed by the Food and Agriculture Organization of the United Nations (FAO) in the framework of the FAO - Google partnership. It was created to support countries, research institutes, farmers and members of the general public with internet access to monitor their land in an easy, integrated and multi-temporal manner. It allows everyone to visualize, process and analyze satellite imagery and global datasets on climate, vegetation, fires, biodiversity, geo-social and other topics. Users need no prior knowledge of remote sensing or Geographical Information Systems (GIS).
Food and Agriculture Organization of the United Nations (FAO)free
