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Stehman-01 Project Profile   (updated 13-Apr-2015)
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Project Title:Developing Statistically Rigorous Sampling Design and Analysis Methods to Reduce and Quantify Uncertainties Associated with Carbon Monitoring Systems

Science Team
Members:

Stephen (Steve) Stehman, SUNY College of Environ Sci & Forestry (Project Lead)

Project Duration: 2013 - 2016
Solicitation:NASA: Carbon Monitoring System (2013)
Abstract: The research described in this proposal will develop statistically rigorous sampling design and analysis protocols that will reduce uncertainty of key estimates of target parameters of a carbon monitoring system (CMS) and lead to better quantification of uncertainty. The IPCC Good Practice Guidance emphasizes the importance of land area to estimat ... [more]
CMS:
  • Land Biomass
  • MRV

Participants:

Stephen (Steve) Stehman, SUNY College of Environ Sci & Forestry

Contact Support to request an email list of project participants.

Project URL(s): None provided.
 
Data
Products:
Product Title:  Sampling design and estimation methods to quantify and reduce uncertainties associated with estimating map accuracy and estimating area (activity data); Excel program to optimize sample size allocation when estimating area using stratified sampling
Spatial Extent:  Global
Spatial Resolution:  Any
Time Period:  Any
Temporal Frequency:  Annual or longer
Status:  In-Progress
...more

 
Publications: Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V., Woodcock, C. E., Wulder, M. A. 2014. Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment. 148, 42-57. DOI: 10.1016/j.rse.2014.02.015

Potapov, P. V., Dempewolf, J., Talero, Y., Hansen, M. C., Stehman, S. V., Vargas, C., Rojas, E. J., Castillo, D., Mendoza, E., Calderon, A., Giudice, R., Malaga, N., Zutta, B. R. 2014. National satellite-based humid tropical forest change assessment in Peru in support of REDD+ implementation. Environmental Research Letters. 9(12), 124012. DOI: 10.1088/1748-9326/9/12/124012

Boschetti, L., Stehman, S. V., Roy, D. P. 2016. A stratified random sampling design in space and time for regional to global scale burned area product validation. Remote Sensing of Environment. 186, 465-478. DOI: 10.1016/j.rse.2016.09.016

Cohen, W. B., Yang, Z., Stehman, S. V., Schroeder, T. A., Bell, D. M., Masek, J. G., Huang, C., Meigs, G. W. 2016. Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline. Forest Ecology and Management. 360, 242-252. DOI: 10.1016/j.foreco.2015.10.042

Wagner, J. E., Stehman, S. V. 2015. Optimizing sample size allocation to strata for estimating area and map accuracy. Remote Sensing of Environment. 168, 126-133. DOI: 10.1016/j.rse.2015.06.027

Tyukavina, A., Baccini, A., Hansen, M. C., Potapov, P. V., Stehman, S. V., Houghton, R. A., Krylov, A. M., Turubanova, S., Goetz, S. J. 2015. Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012. Environmental Research Letters. 10(7), 074002. DOI: 10.1088/1748-9326/10/7/074002


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