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Hudak-01 Project Profile   (updated 01-Feb-2017)
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Project Title:Prototyping A Methodology To Develop Regional-Scale Forest Aboveground Biomass Carbon Maps Predicted From Landsat Time Series, Trained From Field and Lidar Data Collections, And Independently Validated With FIA Data

Science Team
Members:

Andrew (Andy) Hudak, USDA Forest Service (Project Lead)
Robert Kennedy, Oregon State University

Project Duration: 2014 - 2017
Solicitation:NASA: Carbon Monitoring System (2014)
Abstract: Current Monitoring Reporting and Verification (MRV) needs cannot be met by using only available NASA satellite data products, but must be integrated with commercial off-the-shelf technologies. The exceptional sensitivity of commercial, airborne scanning lidar data to forest canopy structure has made it the best remote sensing technology for predict ... [more]
CMS:
  • Land Biomass
  • Decision Support
  • MRV

Participants:

Michael (Mike) Falkowski, Colorado State
Nancy Glenn, Boise State University
Andrew (Andy) Hudak, USDA Forest Service
Robert Kennedy, Oregon State University
Alistair Smith, University of Idaho
Christopher (Chris) Woodall, USDA Forest Service

Contact Support to request an email list of project participants.

Project URL(s): None provided.
 
Data
Products:
Product Title:  Aboveground biomass maps.
Spatial Extent:  Northwestern U.S. (WA, OR, ID)
Spatial Resolution:  30 m nominally, 90 m means and standard deviations
Time Period:  2002-2012
Temporal Frequency:  Annual
Status:  In-Progress
...more

Product Title:  Estimates of bias between biomass predictions and FIA observations summarized for the representative vegetation types.
Spatial Extent:  Northwestern U.S. (WA, OR, ID)
Spatial Resolution:  county
Time Period:  2002-2012
Temporal Frequency:  Annual
Status:  In-Progress
...more

 
Publications: Fekety, P. A., Falkowski, M. J., Hudak, A. T. 2015. Temporal transferability of LiDAR-based imputation of forest inventory attributes. Canadian Journal of Forest Research. 45(4), 422-435. DOI: 10.1139/cjfr-2014-0405

Deo, R. K., Froese, R. E., Falkowski, M. J., Hudak, A. T. 2016. Optimizing Variable Radius Plot Size and LiDAR Resolution to Model Standing Volume in Conifer Forests. Canadian Journal of Remote Sensing. 42(5), 428-442. DOI: 10.1080/07038992.2016.1220826

2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
  • Developing an Ecoregion-level Imputation Model From LiDAR-derived Biomass Maps   --   (Andrew Thomas Hudak, Patrick A Fekety, Michael J Falkowski, Robert E Kennedy, Alistair Matthew Stuart Smith)   [abstract]

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