Project Name

Project Description


 Cropland Carbon Monitoring System (CCMS): A satellite-based system to estimate carbon fluxes on U.S croplandsThis project will use RS-EPIC developed as part of Global Agricultural Monitoring Program (GEO-GLAM) to estimate, at 500-m resolution, the 2015-2016 seasonal and annual C fluxes of nine major crops (corn, soybean, winter wheat, spring wheat sorghum, cotton, alfalfa, barley, rice, and peas) grown over ~96% of the cropland area in the conterminous United States.

Roberto Cesar Izaurralde 

George Hurtt

Christopher Justice

 Airborne Eddy Flux Measurements for Validation/Evaluation of High-Resolution MRV Systems funded by NASAThis research directly addresses advanced remote sensing-based approaches to carbon emissions monitoring, reporting, and verification (MRV), and the need to improve the characterization and quantification of errors and uncertainties in existing NASA CMS products. The team will produce a data set of regional GHG flux estimates and their statistical errors for use in this and other analyses, and will provide a more comprehensive validation/evaluation of the UMD MRV prototype processes and products for the region. George Hurtt
 Using Landsat Global Land Survey Data to Measure and Monitor Worldwide Urbanization funded by NASAThe specific objectives of this project are to: 1) Use the Landsat GLS data set, as processed by GLCF to surface reflectance, to develop high quality, high spatial resolution, baseline measurements of global % impervious cover for the ca. 2000 and 2010 time periods. 2) Compare % impervious cover for 2000 and 2010 to detect and map areas of significant changes due to urbanization (i.e. urbanization ‘hot-spots’) at the global scale.Chengquan Huang
 Integration of long term Landsat observations with DESDynI measurements for monitoring terrestrial carbon flux within and beyond the DESDynI mission funded by NASAThe overall objective of this project is to develop improved capabilities for addressing the overarching science question of understanding the spatial patterns and temporal dynamics of terrestrial carbon stocks and fluxes (CCSP, 2003). This will be achieved by improving and extending DESDynI predictions of biomass and biomass dynamics through fusion with the long-term record of Landsat observations.Chengquan Huang


Investigating the Dynamic Intersections Among Economic Development, Urbanization, and Forest Degradation funded by NSF

This project will investigate how economic and environmental changes affect the relationships among urban energy demands, urban and rural livelihoods, and the health of ecosystems that urban residents rely on for critical resources.

Julie Silva

Fernando Sedano


Quantification of Land-Use/Land-Cover Change as Driver of Earth System Dynamics

This project is funded by DOE to study human land-use activities resulted in large changes to biogeochemical and biophysical properties of earth surface, with impact on climate.

Louise Chini

George Hurtt

 Quantifying Global Forest Cover ChangeThis project will create 30 meter spatial resolution forest cover and change products for the entire global land surface from 2000 to 2010.  Our work will be part of the USGS Global Land Cover Initiative, which has the mandate to develop global land cover products in an operational setting.  The proposed activity will enable the development of the first prototype products in support of the GLCI. Matthew C. Hansen
 Preparatory Activities in Support of Global Forest Watch 2.0This project will develop global tree cover change data products based on Landsat satellite imagery, which will be available for display and download on the Global Forest Watch 2.0 (GFW 2.0) web platform. Matthew C. Hansen
 Using Earth Observation Data to Improve REDD+ Policy in Mesoamerica and the Dominican RepublicThis project will generate Landsat-scale (30x30 meters) forest cover extent and disturbance maps for a study region consisting of the fullowing eight  Central American and Caribbean countries: Belize, Costa Rica, the Dominican Republic, El Salvador, Guatemala, Honduras, Nicaragua, and Panama. UMD will generate two sets of maps; 1) Annual maps for years 2010 - 2015, 2) Maps for years 1990 - 2000.Matthew C. Hansen


Analyzing the Emergence of a Complex Land Management System funded by NSF

Project is to test the theory effective land management rests on more than just having the right social norms; in addition, the social norms, the particular characteristics of the local environment, and the ecosystem services the environment provides to local users must work together to produce ecological sustainability.

Sean Downey


Last modified
10/07/2016 - 2:49 am