Project Grant 2240403
Award Date
8/1/23
Completion Date
7/31/27
Dollars Obligated
$374K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Seattle, WA 98195, USA
Similar Awards
This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $250,000 to Virginia Polytechnic Institute & State University (Virginia Tech) to develop new machine learning approaches for enhancing the accuracy and resolution of stable isotope ratio analysis (SIRA) to trace the geographic origin of timber products. The objective is to improve the ability to detect and combat illegal trafficking and trade of...
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 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...
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...
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...
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...
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 $154,453 Project Grant awarded by the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) aims to develop novel bio-inspired, biodegradable, self-burying seed carriers for aerial forest regeneration. The key products and services to be delivered through this 5-year award, which began on October 1, 2024, include: Addressing the challenge of low germination and seedling establishment rates in aerial seeding by developing self-burying seed carriers that provide...
Sangali, Inc. was awarded a $275,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (CFDA 47.084) on February 15, 2023 to develop a novel wood identification technology. Through state-of-the-art chemical analysis methods and machine learning techniques, Sangali will create a database to reliably identify the species, age, and geographic origin of wood and composite materials. Key deliverables under the one-year award include analyzing...
The University of Maryland, College Park (prime recipient) received a $494,591 Project Grant award from the National Science Foundation Division of Atmospheric and Geospace Sciences to develop, validate, and interpret new data models for tree-ring width using deep learning techniques. The grant supports the "DEEPGREEN" research project running from July 1, 2023 to June 30, 2026 under the Geosciences federal grant program (CFDA 47.050). Through this funding, the University will leverage...