This dataset includes separate layers representing aboveground tree and forest carbon fluxes in each year from 1990 to 2016. Each layer reports net change in aboveground carbon in a unit of Mg C per 30 m grid cell. Positive values indicate a carbon gain and negative values indicate a carbon loss. This data reflects fluxes from trees both in forests and outside of forests and represents the net impact of ongoing growth of existing trees, growth of new trees, and losses due to land use change and other disturbances. This dataset was produced by a novel forest carbon monitoring system which was built on research from the National Aeronautics and Space Administration Carbon Monitoring System with additional funding from the United States Climate Alliance. Led by the University of Maryland, with support from DNR and MDE, this approach utilizes high resolution remote sensing of contemporary tree cover and canopy height as powerful constraints within a process-based ecosystem model to reconstruct the spatial and temporal carbon dynamics while considering impacts of spatially and temporally transient meteorology, elevated atmospheric CO2, and disturbance. This dataset is used within the state of Maryland’s official greenhouse gas (GHG) inventory, published triennially by the Maryland Department of the Environment (MDE). Spatial data associated with tabular inventory estimates will be updated through the MD iMAP Portal. Statewide summary data for the GHG inventory can be accessed through the Maryland Open Data Portal here: https://opendata.maryland.gov/Energy-and-Environment/Maryland-2006-2020-Greenhouse-Gas-Emissions-Invent/xuyh-dmw3 Further methodological details can be found at MDE’s emissions inventory website: https://mde.maryland.gov/programs/air/climatechange/pages/greenhousegasinventory.aspx Last Updated: 09/24/2022
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{'Title': 'Maryland annual tree and forest aboveground carbon fluxes 1990-2016', 'Author': '', 'Comments': 'This dataset includes separate layers representing aboveground tree and forest carbon fluxes in each year from 1990 to 2016. Each layer reports net change in aboveground carbon in a unit of Mg C per 30 m grid cell. Positive values indicate a carbon gain and negative values indicate a carbon loss. This data reflects fluxes from trees both in forests and outside of forests and represents the net impact of ongoing growth of existing trees, growth of new trees, and losses due to land use change and other disturbances. This dataset was produced by a novel forest carbon monitoring system which was built on research from the National Aeronautics and Space Administration Carbon Monitoring System with additional funding from the United States Climate Alliance. Led by the University of Maryland, with support from DNR and MDE, this approach utilizes high resolution remote sensing of contemporary tree cover and canopy height as powerful constraints within a process-based ecosystem model to reconstruct the spatial and temporal carbon dynamics while considering impacts of spatially and temporally transient meteorology, elevated atmospheric CO2, and disturbance. This dataset is used within the state of Maryland’s official greenhouse gas (GHG) inventory, published triennially by the Maryland Department of the Environment (MDE). Spatial data associated with tabular inventory estimates will be updated through the MD iMAP Portal. Statewide summary data for the GHG inventory can be accessed through the Maryland Open Data Portal here: https://opendata.maryland.gov/Energy-and-Environment/Maryland-2006-2020-Greenhouse-Gas-Emissions-Invent/xuyh-dmw3 Further methodological details can be found at MDE’s emissions inventory website: https://mde.maryland.gov/programs/air/climatechange/pages/greenhousegasinventory.aspx Last Updated: 09/24/2022', 'Subject': '30-m resolution maps of annual tree and forest aboveground carbon fluxes in the state of Maryland between 1990-2016.', 'Category': '', 'AntialiasingMode': 'None', 'TextAntialiasingMode': 'Force', 'Keywords': 'MD,Maryland,MD iMAP,DNR,MDE,forests,trees,forestry,climate,carbon,greenhouse gas,climate change,air temperature and radiation,NAIP,canopy height,lidar,WMS,WFS,KML,raster,dynamic,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016'}
nan
nan