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 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...
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 $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...
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 Project Grant award of $598,947.00 was provided by the U.S. Department of Agriculture's Agriculture and Food Research Initiative (CFDA 10.310) to Purdue University. The funding will support the development of an end-to-end digital-twinning system for fast and accurate forest inventory, combining cutting-edge remote sensing techniques and AI-based analytics. The project aims to capture high-precision forest biometric and structural data using LiDAR, GNSS, and IMU, and reconstruct digital...
This $374,050 project grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop new machine learning approaches to improve the detection and traceability of illegally sourced timber products. The project leverages stable isotope ratio analysis (SIRA) to determine the geographic origin of timber by comparing isotope ratios to reference databases. The University of Washington, the awardee, will work with partners from industry, non-profit, and...
This National Science Foundation Project Grant of $254,707 will fund the development of machine learning and artificial intelligence methods to automate and accelerate the processing of interferometric synthetic aperture radar (InSAR) time series data. The grant was awarded to Geolabe LLC on March 1, 2023 under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). Specifically, the company will work to further automate key sections of the InSAR processing pipeline that...
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...