This $1,018,281 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support the development of OPENFOREST4D, a web-based cyberinfrastructure platform for next-generation 4D forest mapping and monitoring. The award, effective September 15, 2024 through August 31, 2028, will enable researchers at the University of California, San Diego (UCSD) to apply novel statistical models and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $756,788 to the University of Florida to develop the OpenForest4D cyberinfrastructure platform. This web-based platform will enable on-demand, up-to-date mapping and monitoring of global forest structure and aboveground biomass using a fusion of ground, airborne, and satellite remote sensing data. The platform will leverage novel statistical...
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...
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 $126,270 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 at large geographic scales. 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 scales. High-fidelity fast approximations of theory-based carbon forecasting models using new meta-learning and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the development of a cloud-based cyberinfrastructure (CI) for comprehensive urban tree inventory estimation. The $2,998,069 award to Purdue University will enable the creation of the first-ever national system capable of determining highly accurate locations and species of urban trees. The CI will integrate remote sensing data,...
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 Project Grant award, totaling $295,000 and effective from October 1, 2024 to September 30, 2029, was provided by the National Science Foundation (NSF) under the Integrative Activities (CFDA 47.083) program. The award supports a collaborative research project titled "GCR: Rooted in Nature: Bioinspired Design of Sustainable Seeding Methods to Improve Forest Regeneration." The project aims to develop novel, biodegradable, self-burying seed carriers for aerial seeding to enhance...
This $253,337 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research at the University of Maryland, College Park to advance the monitoring and understanding of forest carbon dynamics. The key objectives are to: 1) Develop cross-platform and cross-region learning frameworks for fine-scale carbon dynamics monitoring at large geographic scales, 2) Create high-fidelity fast approximations...
This Project Grant award, valued at $118,926 and awarded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), supports research investigating the socioecological outcomes of restoration efforts in forest-grassland ecosystems. The project aims to examine how restoration programs impact social and environmental systems, identify the drivers of these changes, and develop cost-effective tools to assess the benefits and tradeoffs of restoration interventions. Key...