Project Grant 20183361028219

This National Science Foundation Project Grant of $274,929 will support Morphobotics LLC to develop an automated sub-canopy 3D forest mapping solution using uncrewed aerial vehicles. The goal is to produce a high-fidelity, open-source UAV exploration environment with 3D mapping capabilities meeting payload constraints for use in prescribed forest burn environmental assessments and spatial fire modeling. This addresses a need under the NSF Technology, Innovation, and Partnerships program's...

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...

This $100,000 Cooperative Agreement awarded by the U.S. Geological Survey (USGS) under the USGS Research and Data Collection program (CFDA 15.808) supports Wageningen University in the Netherlands to enhance forest monitoring capabilities through advanced satellite technology. The key project activities include: Adapting deforestation alert methods to meet specific country needs and implementing them in open-source platforms like R, SEPAL, and Google Earth Engine to facilitate broader...

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...

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,...

The National Science Foundation awarded a $263,080 Project Grant to Columbia University under the Biological Sciences federal grant program (CFDA 47.074) for the period of March 1, 2021 through February 28, 2023. The grant supports a collaborative research effort titled "A Mechanistic Approach to Assess the Impacts of Hurricanes on Tropical Forests." Under the award, Columbia University will analyze pre- and post-hurricane lidar data collected over the Luquillo Forest Dynamics Plot...

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 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...

Acme Atronomatic, LLC will develop an orbital data platform to improve wildfire resilience through a $300,000 National Oceanic and Atmospheric Administration Small Business Innovation Research Program Project Grant awarded September 1, 2022 for completion by February 28, 2023. Leveraging hyperspectral measurements from its CubeSats, Acme will generate dynamic wildfire risk maps at relevant spatial and temporal scales to clarify resilience tradeoffs for stakeholders. The AI-enhanced data from...