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carbonmonitoring.umd.edu

Maryland Carbon Monitoring System

Maryland Carbon Monitoring System. The NASA Carbon Monitoring System (CMS). Improve our existing methodology for carbon stock estimation and uncertainty and assess its efficacy across an expanded range of environmental and forest conditions. Provide high-resolution estimates of carbon stocks and their uncertainties for the entire state of Maryland representing Eastern U.S. forest types. Provide detailed validation of national biomass maps using FIA data and high-resolution biomass maps.

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Maryland Carbon Monitoring System. The NASA Carbon Monitoring System (CMS). Improve our existing methodology for carbon stock estimation and uncertainty and assess its efficacy across an expanded range of environmental and forest conditions. Provide high-resolution estimates of carbon stocks and their uncertainties for the entire state of Maryland representing Eastern U.S. forest types. Provide detailed validation of national biomass maps using FIA data and high-resolution biomass maps.
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Maryland Carbon Monitoring System | carbonmonitoring.umd.edu Reviews

https://carbonmonitoring.umd.edu

Maryland Carbon Monitoring System. The NASA Carbon Monitoring System (CMS). Improve our existing methodology for carbon stock estimation and uncertainty and assess its efficacy across an expanded range of environmental and forest conditions. Provide high-resolution estimates of carbon stocks and their uncertainties for the entire state of Maryland representing Eastern U.S. forest types. Provide detailed validation of national biomass maps using FIA data and high-resolution biomass maps.

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carbonmonitoring.umd.edu carbonmonitoring.umd.edu
1

Maryland Carbon Monitoring System

http://carbonmonitoring.umd.edu/map_info.html

Maryland Carbon Monitoring System. Department of Geographical Sciences.

2

Maryland Carbon Monitoring System

http://carbonmonitoring.umd.edu/pub.html

Maryland Carbon Monitoring System. Birdsey, Richard; Angeles-Perez, Gregorio; Kurz, Werner K. Lister, Andrew; Olguin, Marcela; Pan, Yude; Wayson, Craig; Wilson, Barry; Johnson, Kristofer. 2013. Approaches to monitoring changes in carbon stocks for REDD . Carbon Management. 4(5): 519-537. O’Neil-Dunne, J., S. MacFadden, A.Rovar, M.Reis, R.Dubayah, A. Swatantran. (2014). An Object- Based Approach to Statewide Land Cover Mapping. ASPRS. Swatantran A. (2013) High Resolution Carbon Mapping and Modeling in...

3

Maryland Carbon Monitoring System

http://carbonmonitoring.umd.edu/people.html

Maryland Carbon Monitoring System. Ralph Dubayah: Principle Investigator. George Hurtt: Co- PI and NASA CMS Science Team Leader. Anu Swatantran: Co-investigator, Research Assistant Professor. Maosheng Zhao: Research Assistant Professor. Jarlath O'Neil Dunne, University of Vermont. Richard Birdsey, USDA Forest Service. Kristopher Johnson, USDA Forest Service. Andrew Finley, Michigan State University. Phil DeCola, Sigma Space. Christine Kang: Faculty Research Assistant. Christine earned a master's degree i...

4

Maryland Carbon Monitoring System

http://carbonmonitoring.umd.edu/data.html

Maryland Carbon Monitoring System. Data Acquisition and Processing. More information on our data acquisition and processing methods for this project coming soon. ESRI On-line Map Services. Biomass and Canopy Cover Maps. Department of Geographical Sciences.

5

Maryland Carbon Monitoring System

http://carbonmonitoring.umd.edu/index.html

Maryland Carbon Monitoring System. The NASA Carbon Monitoring System (CMS). Improve our existing methodology for carbon stock estimation and uncertainty and assess its efficacy across an expanded range of environmental and forest conditions. Provide high-resolution estimates of carbon stocks and their uncertainties for the entire state of Maryland representing Eastern U.S. forest types. Provide detailed validation of national biomass maps using FIA data and high-resolution biomass maps.

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Maryland Carbon Monitoring System

Maryland Carbon Monitoring System. The NASA Carbon Monitoring System (CMS). Improve our existing methodology for carbon stock estimation and uncertainty and assess its efficacy across an expanded range of environmental and forest conditions. Provide high-resolution estimates of carbon stocks and their uncertainties for the entire state of Maryland representing Eastern U.S. forest types. Provide detailed validation of national biomass maps using FIA data and high-resolution biomass maps.

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