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...
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...
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 $398,984 Project Grant award, provided by the National Science Foundation's Geosciences Program (CFDA 47.050), supports research to quantify the biophysical, physiological, and phenological impacts of increasing carbon dioxide (CO2) levels on vegetation and their effects on future climate change. The research utilizes the Community Earth System Model to examine the direct impacts of CO2 fertilization and stomatal closure, as well as the indirect effects of a longer growing season, on...
This $300,000 federal Project Grant award was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Maryland, College Park. The project aims to develop physics-guided generative artificial intelligence models to better understand and predict complex physical processes like pollution transport, virus spread, and wildfire evolution. By integrating physical equations with generative machine learning...
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 Project Grant award of $239,886.00 was provided by the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) Federal Grant Program (CFDA 43.001) to the University of Maryland, College Park. The funding will support a 2-year research project titled "LINKING FOREST BIOMASS AND CARBON EXCHANGE USING LIDAR-DERIVED FOREST STRUCTURE AND AIRBORNE FLUX OBSERVATIONS" from Aug 2024 to Aug 2026. The research aims to advance scientific understanding of...
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 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...
This Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) aims to develop a new continental-scale data tool that integrates a variety of ground-based, remote sensing, and modeling data to better understand the variability and predictability of the North American terrestrial carbon cycle. The $929,221 award to Trustees of Boston University, with a project period of August 1, 2024 to July 31, 2028, will support the generation and analysis of...