| Cropland Carbon Monitoring System (CCMS): A satellite-based system to estimate carbon fluxes on U.S croplands | This 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. | ||
| Airborne Eddy Flux Measurements for Validation/Evaluation of High-Resolution MRV Systems funded by NASA | This 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 NASA | The 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 NASA | The 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 | |
| Quantifying Global Forest Cover Change | This 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 2.0 | This 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 Republic | This 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 | |
Last modified
10/07/2016 - 2:49 am
