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Published byBarry Perry Modified over 9 years ago
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Bob Pliszka, VP- Operations & Forestry, ImageTree Corporation Advisor- Dr. Wayne Myers, Professor of Forest Biometrics; Director, Office for Remote Sensing and Spatial Information Services September 23 rd, 2008
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Hardwood forests of East Rockhill township, Bucks County, Pennsylvania
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Significant increase during the last ~15 years in Greenhouse Gas Emissions (GHG) in the US (and globally) From Environmental Protection Agency website. http://www.epa.gov/climatechange/emissions/downloads/08_Trends.pdfhttp://www.epa.gov/climatechange/emissions/downloads/08_Trends.pdf
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Currently there’s an ongoing global effort to reduce GHG levels In the US, voluntary trading of forest carbon credits o Carbon emitters can purchase “credits” US working towards a mandatory cap and trade system o Will require an effective means for measuring and mapping biomass levels
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o Net increase in biomass from year to year is used to calculate CO₂ available for trading o One such example is the Chicago Climate Exchange (CCX) o Global system, the Kyoto Protocol, only recognizes afforestation credits One area of focus is the mapping of forest aboveground biomass (ABG) o ABG provides an input into calculations of CO₂ o ABG provides insight into GHG emission levels
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‣Traditional ground based forest inventory methods (Brown et al) o Translates directly into forest biomass (Photo taken from the Food and Agricultural Organization of the United Nations Website) http://www.fao.org/http://www.fao.org/
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Low resolution imagery (Hall et al) o High resolution imagery (Neilson et al) o (LiDAR) (Bortolot and Wynne, Van Aardt et al, Patenaude et al)
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Combination of traditional ground methods and remote sensed data (Brown et al) + = ABG
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Current commercial ABG solutions are: o Can be less cost effective for small woodlots Potential lack of incentive for small, non-industrial private owners o Coarse resolution and targeted for large scale; not always optimal for small ownerships High resolution remote sensed data may help…. o Readily available and current in certain cases o Provides reliable spatial information
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Spatially map forest biomass in East Rockhill township, Bucks County, Pennsylvania o Use of both: Low resolution Landsat imagery (20-30 meter pixel) High resolution NAIP imagery (1 meter pixel) Compare and contrast the estimated biomass maps from the two datasets
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Remote Sensed Data o Landsat data (30 meter pixels) o National Agricultural Imagery Program (NAIP) imagery (1 meter pixel) Shapefiles and coverages: o East Rockhill township boundaries o Hydrology layers Forestry tools o Diameter tape o Clinometer o 10 BAF prism Misc. o Applicable biomass equations o USDA FIA Data o Arcview GIS software
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Digitization of forest stand boundaries (homogenous areas) o Classification (forest vs. non-forest, mature vs. young, etc.) Methods
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Collection of low intensity tree measurement data
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For every forested stand o Estimation of tree volume and biomass (per stand basis) for both remote sensed data sets Quantification of differences o Forested acres o Total estimated biomass o Spatial distribution of biomass Creation of Thematic Maps and final write up
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Task~ Start Date~ End Date Acquire all data9/29/200810/03/2008 Delineate forest stands in both data sets10/03/200810/016/2008 Classify forest stands10/17/2008 Collect and process ground data10/17/200810/24/2008 Obtain regional volume and biomass equations 10/25/200810/29/2008 Calculate volume and biomass for all forested stands 11/01/200811/07/2008 Create and analyze raster layers depicting biomass 11/07/200811/14/2008 Create thematic maps depicting results11/15/200811/22/2008 Final write up11/23/200812/04/2008 Submission for White Paper12/05/2008
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Relative ABG maps for East Rockhill township Analysis and visualization of estimated ABG differences using high vs. low resolution remote sensed data Potentially lead to further efforts to develop efficient and cost effective methods for small private woodlot owners
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Bob Pliszka Sellersville, PA 215-258-2855 rgp108@psu.edu
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