LiDAR derived Canopy Height at HAFE at 1m resolution. These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

LiDAR derived Canopy Height at PRWI at 2m resolution. These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

LiDAR derived Canopy Height at PRWI at 1m resolution. These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

LiDAR derived percent understory cover of HAFE at 2m resolution. These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

LiDAR derived Digital Elevation Model of HAFE. These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

LiDAR derived Canopy Height of CATO at 2m resolution. These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

LiDAR derived Canopy Height of CATO at 1m resolution. These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

These files are rasters of tree canopy heights derived from 23 sets of aerial lidar collected during 2014-2018 in Texas. Canopy heights are expressed in meters. These data were used to model golden-cheeked warbler habitat.

These files are rasters of tree canopy heights derived from 23 sets of aerial lidar collected during 2014-2018 in Texas. Canopy heights are expressed in meters. These data were used to model golden-cheeked warbler habitat.

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management. For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018). Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)