This $126,270 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop new capabilities to monitor and understand forest carbon dynamics in the Earth system. The key products and services to be delivered include: Cross-platform and cross-region learning frameworks to enable fine-scale carbon dynamics monitoring at large geographic scales. High-fidelity fast approximations of theory-based carbon forecasting models using new meta-learning...
Earthshot Labs PBC received a $256,000 Project Grant award from the National Science Foundation Division of Industrial Innovation under the Engineering (47.041) federal grant program. The award period was from July 1, 2021 through February 28, 2022 to support the company's SBIR Phase I project titled "Climate Analysis at Scale through Mapping Biomass, Water Restoration, and Soil Carbon Sequestration." Under this award, Earthshot Labs developed technologies to analyze large-scale...
This $256,000 National Science Foundation Project Grant supports the development of a smartphone application by Earthshot Labs PBC to facilitate forest carbon offset verification. Leveraging computer vision and augmented reality capabilities, the app aims to make tree measurements for ecological modeling and forecasting dramatically easier compared to traditional tape measures. It is expected to classify tree species through bark and leaf imagery analysis while also determining diameter at...
This federal Cooperative Agreement award of $1,000,000 was granted by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084). The award, effective September 15, 2024 through August 31, 2026, was provided to Gaia AI, Inc., a for-profit small business located in Somerville, MA. The project aims to develop a hardware sensor backpack and AI software to process data from below-canopy, above-canopy, and satellite sensors for...
This National Science Foundation (NSF) Cooperative Agreement award of $925,833 to Map-Collective, Inc. is funded through the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The project aims to develop a distributed ledger system to track environmental sustainability and the coordination of climate change mitigation efforts across governments, industry, and individuals. The proposed solution will create a visual platform to map and coordinate decarbonization activities,...
This Project Grant award of $304,943 from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and testing of an AI-driven foundation modeling framework for the atmosphere and ocean. The goal is to create an advanced multimodal AI model that can provide environmental intelligence and forecasting capabilities to help businesses, municipalities, and governments mitigate the impacts of environmental volatility and extreme...
This $398,374 Project Grant awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a research project examining factors that drive the regeneration of forests in developing regions that have been deforested. The research combines satellite imagery and ethnographic methods to analyze how rural-to-urban land sales and the priorities of urban landowners contribute to tree cover gain. The project will expand geographic...
This Project Grant award for $600,000 from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will fund the development of an interactive web-based platform called OpenForest4D. This platform will enable the generation of high-quality, research-grade estimates of forest structure and above-ground biomass across large spatial and temporal scales by applying novel statistical and AI models to a fusion of multi-source remote sensing data. The University of Florida...
The National Science Foundation awarded a $275,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to Gaia AI, Inc. for a one-year project ending April 2024. The grant funds the development of techniques to combine disparate data sources including LiDAR, satellite imagery, and drone data to construct high-fidelity digital twins of forests. By expressing LiDAR metrics in a way that associates them with top-down imagery, the awardee aims to build...
This Project Grant award, valued at $1,018,281 and provided by the National Science Foundation's Office of Advanced Cyberinfrastructure, supports the development of OpenForest4D - a web-based cyberinfrastructure platform for next-generation 4D forest mapping and monitoring. The goal is to apply novel statistical models and artificial intelligence methodologies to a fusion of multi-source remote sensing data to generate on-demand, research-grade estimates of forest structure and above-ground...