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Filters: Tags: Sequoia National Park (X) > Extensions: Shapefile (X)

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Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that...
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Dataset contains 32 terrestrial lidar scans of conifer forests and associated shapefile of locations in Sequoia and Kings Canyon National parks from the summer of 2022. These scans were co-located within field plots from a larger ongoing U.S. Geological Survey (USGS) project collecting wildfire fuels and forest structure data (informally known as the Fire and Fuels Project). These data can also be found in a USGS Earth Resources Observation and Science (EROS) database named IntELiMon (https://dmsdata.cr.usgs.gov/lidar-monitoring/viewer/).


    map background search result map search result map Terrestrial Lidar Scans of Conifer Forests in Sequoia and Kings Canyon National Parks, 2022 Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks Terrestrial Lidar Scans of Conifer Forests in Sequoia and Kings Canyon National Parks, 2022 Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks