Identify forest canopy gaps using lidar: Script
A duplicate digital object identifier (https://doi.org/10.5066/P9YONHY2) was accidentally published for this resource. The correct DOI for referencing this product is https://doi.org/10.5066/P9BLTSTZ.
This script uses Lidar digital elevation data to locate forest canopy gaps and produces a canopy height model, a broken forest shapefile, an analysis polygons shapefile, and a forest canopy gaps shapefile. The Lidar input datasets are raster TIFF's and one is the digital surface model (first return elevation, canopy), and the other is the digital terrain model (last return elevation, bare earth). The Upper Mississippi River Restoration (UMRR) Program's 2010 Landcover/Landuse shapefiles were used to identify the analysis polygons for this project.
Forest_Canopy_Gap_Locator.r: Subset the dataset and restructure as needed to perform calculations of DPR (daily predation rate) and other values.
The script was developed July 2019 in R v. 3.6.0.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "UMESC Data Coordinator", "@type": "vcard:Contact", "hasEmail": "mailto:gs-b_umesc_data_management@usgs.gov" } |
| description | A duplicate digital object identifier (https://doi.org/10.5066/P9YONHY2) was accidentally published for this resource. The correct DOI for referencing this product is https://doi.org/10.5066/P9BLTSTZ. This script uses Lidar digital elevation data to locate forest canopy gaps and produces a canopy height model, a broken forest shapefile, an analysis polygons shapefile, and a forest canopy gaps shapefile. The Lidar input datasets are raster TIFF's and one is the digital surface model (first return elevation, canopy), and the other is the digital terrain model (last return elevation, bare earth). The Upper Mississippi River Restoration (UMRR) Program's 2010 Landcover/Landuse shapefiles were used to identify the analysis polygons for this project. Forest_Canopy_Gap_Locator.r: Subset the dataset and restructure as needed to perform calculations of DPR (daily predation rate) and other values. The script was developed July 2019 in R v. 3.6.0. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P9BLTSTZ", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5f0c7cba82ce21d4c402ee81.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5f0c7cba82ce21d4c402ee81 |
| keyword |
[ "Ecology", "Forestry", "Remote Sensing", "USGS:5f0c7cba82ce21d4c402ee81", "biota", "ecology", "forest resources", "hydrology", "remote sensing" ] |
| modified | 2026-01-28T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -180.0000, -90.0000, 180.0000, 90.0000 |
| theme |
[ "geospatial" ] |
| title | Identify forest canopy gaps using lidar: Script |
