This $897,042 Cooperative Agreement awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an advanced ecological forecasting model by Earthshot Labs PBC, a for-profit technology company. The project aims to create a sophisticated tool capable of accurately predicting reforestation outcomes and carbon sequestration potential across various global landscapes. The approach combines satellite imagery...
This Cooperative Agreement award, provided by the National Science Foundation (NSF) through the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), funds the development of a hardware sensor backpack and AI technology for processing data to map and measure forests. The $1,000,000 award to Gaia AI, Inc. will enable the refining and operationalization of this technology to support forestry decision-making, including conserving old-growth trees, verifying carbon sequestration,...
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 from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $274,990 to Trees ROI LLC to develop a 3-dimensional, non-destructive ground penetrating radar (GPR) computed tomography (CT) system with software analytics to assess the quality of container-grown root systems in nursery stock trees. The goal is to modernize industry inspection methods to improve the quality, value, and lifespan of nursery trees, promoting...
Treeswift Inc. was awarded a $1 million cooperative agreement from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnership program (CFDA 47.084) to develop robotic technologies for forest inventory and mapping. The project aims to create algorithms, software, and hardware for autonomous multi-unmanned aerial vehicle systems that can coordinate in dense forests to precisely measure vast quantities of trees. This is intended to establish more accurate,...
This $300,000 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a sustainable, intelligent wearable sensor system for continuous tree health monitoring. The primary goals are to: Create a biocompatible, ion-sensitive sensor array that can be implanted in a plant's xylem to continuously monitor water and nutrient uptake in real-time. Develop energy-harvesting techniques...
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 $756,788 project grant was awarded by the National Science Foundation's (NSF) Office of Advanced Cyberinfrastructure, with joint support from the Division of Biological Infrastructure within the Directorate for Biological Sciences and NSF's National Discovery Cloud for Climate Initiative. The award supports the development of "OpenForest4D", a web-based cyberinfrastructure platform for next-generation 4D forest mapping and monitoring. The platform will apply novel statistical...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $295,000 to develop a solution for a biodiversity credit market. The key products and services to be delivered include: Market-tested protocols, peer-reviewed scientific methodologies, and transparent tracking systems for biodiversity gains and losses. The aim is to create fair, direct funding mechanisms for indigenous peoples and local...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award in the amount of $275,000 supports the development of a computer vision system to assist in grading and sorting harvested logs for the logging industry. The project aims to create a novel computer vision system that can identify, track, and assess the quality of individual logs, providing feedback to human machine operators within brief decision timeframes. The research involves...