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Morton-02 Project Profile   (updated 03-Jan-2017)
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Project Title:A Joint USFS-NASA Pilot Project to Estimate Forest Carbon Stocks in Interior Alaska by Integrating Field, Airborne and Satellite Data

Science Team
Members:

Douglas (Doug) Morton, NASA GSFC (Project Lead)
Bruce Cook, NASA GSFC

Project Duration: 2013 - 2017
Solicitation:NASA: Carbon Monitoring System (2013)
Successor Projects: Cook-B-03  
Abstract: Monitoring U.S. forest carbon stocks is critical for natural resource management and national greenhouse gas reporting activities. The USFS Forest Inventory and Analysis (FIA) program 'the largest network of permanent forest inventory plots in the world' covers most U.S. forestlands. However, more than 450,000 km2 of forests in interior Alaska (15% ... [more]
CMS:
  • Land Biomass
  • MRV

Participants:

Hans Andersen, USDA Forest Service
Bruce Cook, NASA GSFC
Matthew Fagan, NASA-Oak Ridge Associated Universities
Andrew (Andy) Finley, Michigan State University
Douglas (Doug) Morton, NASA GSFC
Praveen Noojipady, NASA GSFC/University of Maryland
Robert Pattison, USDA Forest Service, Anchorage Forestry Sciences Laboratory
Eric Straley, USDA Forest Service
Tom Thompson, USDA Forest Service
Ken Winterberger, USDA Forest Service

Contact Support to request an email list of project participants.

Project URL(s): None provided.
 
Data
Products:
Product Title:  Maps of carbon stocks with pixel-level carbon estimates and pixel-level uncertainties.
Spatial Extent:  Tanana Forest Management District of Interior Alaska (Tetlin Wildlife Refuge, Bonanza Creek Experimental Forest, Caribou Poker Creeks Experimental Watersheds, Tanana Valley State Forest, and USFS Tanana Inventory Unit)
Spatial Resolution:  30 m
Time Period:  July and August of 2014
Temporal Frequency:  1 sampling snapshot
Status:  In-Progress
...more

Product Title:  Statistical estimates of carbon stocks at stratum level.
Spatial Extent:  Tanana Forest Management District of Interior Alaska (Tetlin Wildlife Refuge, Bonanza Creek Experimental Forest, Caribou Poker Creeks Experimental Watersheds, Tanana Valley State Forest, and USFS Tanana Inventory Unit)
Spatial Resolution:  stratum-level
Time Period:  July and August of 2014
Temporal Frequency:  1 sampling snapshot
Status:  In-Progress
...more

 
Publications: Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. DOI: 10.1016/j.rse.2016.12.004

Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. DOI: 10.1002/wics.1383

Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. DOI: 10.1007/s10584-016-1722-1

Junttila, V., Finley, A. O., Bradford, J. B., Kauranne, T. 2013. Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory. Forest Ecology and Management. 292, 75-85. DOI: 10.1016/j.foreco.2012.12.019

Babcock, C., Matney, J., Finley, A. O., Weiskittel, A., Cook, B. D. 2013. Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(1), 6-14. DOI: 10.1109/JSTARS.2012.2215582

Finley, A. O., Banerjee, S., Cook, B. D., Bradford, J. B. 2013. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. International Journal of Applied Earth Observation and Geoinformation. 22, 147-160. DOI: 10.1016/j.jag.2012.04.007

Guhaniyogi, R., Finley, A. O., Banerjee, S., Kobe, R. K. 2013. Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data. Journal of Agricultural, Biological, and Environmental Statistics. 18(3), 274-298. DOI: 10.1007/s13253-013-0140-3

Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. DOI: 10.1016/j.rse.2016.04.014

Finley, A.O., S. Banerjee, Y., Zhou, B.D. Cook. 2016. Process-based hierarchical models for coupling high-dimensional LiDAR and forest variables over large geographic domains. arXiv: 1603.07409

Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. DOI: 10.1080/01621459.2015.1044091

2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
  • G-LiHT: Multi-Sensor Airborne Image Data from Denali to the Yucatan   --   (Bruce Cook, Lawrence A Corp, Douglas Morton, Joel McCorkel)   [abstract]   [poster]
  • Large-area inventory of boreal forest carbon stocks in interior Alaska using G-LiHT data and forest inventory plots   --   (Douglas Morton, Bruce Cook, Hans Erik Andersen, Robert Pattison, Ross Nelson, Andrew Finley, Chad Babcock, Lawrence A Corp, Matthew E Fagan, Laura Duncanson)   [abstract]

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