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Abstract Location ID: 87

Towards Spatially Explicit Quantification of Carbon Flux (2000-2007) in Northeastern U.S. Forests Linking Remote Sensing with Forest Inventory Data

Josef Kellndorfer, The Woods Hole Research Center, josefk@whrc.org (Presenting)
Wayne Walker, The Woods Hole Research Center, wwalker@whrc.org
Tina Cormier, The Woods Hole Research Center, tcormier@whrc.org
Richard Houghton, The Woods Hole Research Center, rhoughton@whrc.org
James Smith, USDA Forest Service, jsmith11@fs.fed.us
Elizabeth LaPoint, USDA Forest Service, elapoint@fs.fed.us

Ten states in the Northeastern United States (Maine, Vermont, New Hampshire,
Rhode Island, New York, Connecticut, New Jersey, Delaware, Massachusetts, and Maryland) have formed the 'Regional Greenhouse Gas Initiative' (RGGI). In order to limit the emissions of greenhouse gases (GHG) to the atmosphere,
RGGI is developing a plan to cap CO2 emissions and trade emission credits.

This project supports the objectives of RGGI by advancing ongoing work on the National Biomass and Carbon Dataset (NBCD), a circa-2000, spatially explicit, high-resolution (30 m) dataset of vegetation height (VH), aboveground live dry biomass (ALDB), and associated carbon (C) stock for the conterminous U.S. Our overall objective is to generate a high-spatial resolution, regional dataset of C flux between the years 2000 and 2007 for all forested areas within the RGGI region. We will compare NBCD2000 baseline estimates to VH/ALDB estimates derived from ALOS/PALSAR radar imagery acquired in 2007 (i.e. RBCD2007).

To date, over 400 dual-polarimetric ALOS/PALSAR scenes have been acquired for the RGGI region. We have designed a processing chain for automated data inventory, quick-look processing, and full resolution ALOS frame processing and mosaicing. With this processor, the data have been geometrically and radiometrically calibrated and mosaiced for the entire region. We have also begun to identify changes (both deforestation and reforestation) between the NBCD2000 and RBCD2007 data sets to determine the sensitivity of the ALOS data. Ultimately, these data sets will be used to produce area-based estimates of C change for the region.

Presentation Type:   Poster

Poster Session:  Carbon Cycle Science

NASA TE Funded Awards Represented:

  • NONE: Related Activity or Previously Funded TE Award

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