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Incorporating Land Cover Data into CAALU Software for Enhanced GHG Inventory Management

This presentation by Dr. Stephen M. Ogle from Colorado State University introduces the integration of land cover data into the CAALU software tool, enhancing greenhouse gas (GHG) inventory management. The tool utilizes GIS and remote sensing data to analyze land use and cover, soils, and climate. Key components include importing spatial data, utilizing IPCC emission factors, and exporting essential climate and land use data efficiently. Collaborators include NASA and the University of Arkansas. A comprehensive methodology for integrating and managing agricultural and forestry statistics is also discussed.

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Incorporating Land Cover Data into CAALU Software for Enhanced GHG Inventory Management

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  1. Incorporating Land Cover Data into CAALU Software Tool Stephen M. Ogle, Ph.D. Colorado State University Natural Resources Ecology Laboratory Fort Collins, Colorado USA Acknowledgements: Collaborators: Dan Irwin (NASA), Jason Tullis (University of Arkansas), and Jack Cothren (University of Arkansas)

  2. Management Activity Data: National Agriculture and Forestry Statistics Incorporating GIS/Remote Sensing Data GIS Spatial Data: Land Use/Cover, Soils and Climate Inventory Results CAALU Inventory Software Tool Emission Factors: IPCC Defaults or Country-Specific

  3. GIS Spatial Data • Climate • Recommend using IPCC default climate regions if applying default emission factors (classification diagram will be provided) • Soil • Also recommended using IPCC default soil types (classification diagram will be provided) • Land Use • IPCC categories: forest lands, croplands, grasslands, settlements, wetlands and other lands • Land Use Subcategories • Forest types • Grassland Types • Cropland Types

  4. Importing GIS Spatial Data in GHG Inventory Tool • Export climate, soil, land use, land use subcategories (if included), and land area data from GIS • Save data in a text file • Order of columns: climate, soil, land use, land use subcategories (if included) and land area • Column titles • Comma-delimited • Import into tool using “input file” option for land use and management data entry

  5. climate,soil,lutype,area TRM,HAM,CRO,2919894.20 TRM,HAM,FOR,3359760.83 TRM,HAM,GRA,1041601.15 TRM,HAM,SET,3877.62 TRM,HAM,WET,143290.34 TRM,LAM,CRO,566015.12 TRM,LAM,FOR,2786199.48 TRM,LAM,GRA,92800.60 TRM,LAM,SET,3816.94 TRM,LAM,WET,73629.06 TRM,VOL,CRO,40697.90 TRM,VOL,FOR,127249.06 TRM,VOL,GRA,4463.06 TRM,VOL,WET,1821.44 TRM,WET,CRO,21314.42 TRM,WET,FOR,24314.44 TRM,WET,GRA,27586.35 TRM,WET,SET,315.95 TRM,WET,WET,7699.40 WTM,HAM,CRO,20028.59 WTM,HAM,FOR,75022.50 WTM,HAM,GRA,1685.64 WTM,LAM,CRO,3131.15 WTM,LAM,FOR,7102.60 WTM,LAM,GRA,159.96 WTM,LAM,WET,472.70 WTM,VOL,CRO,11870.78 WTM,VOL,FOR,49932.65 WTM,VOL,GRA,899.75 Import File: Example

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