U.S. Geological Survey 20260323 point cloud data Denver, CO U.S. Geological Survey - ScienceBase https://doi.org/10.5066/P13T3UG3 https://dmsdata.cr.usgs.gov/lidar-monitoring/viewer/ E. Louise Loudermilk Scott Pokswinski Christie M. Hawley Aaron Maxwell Michael Gallagher Nicholas Skowronski Andrew T. Hudak Chad Hoffman J. Kevin Hiers 20230408 publication https://www.mdpi.com/journal/fire Fire Loudermilk, E. L., Pokswinski, S., Hawley, C. M., Maxwell, A., Gallagher, M. R., Skowronski, N. S., Hudak, A. T., Hoffman, C., & Hiers, J. K. (2023). Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern U.S. Ecosystem. Fire, 6(4), 151. https://doi.org/10.3390/fire6040151 https://doi.org/10.3390/fire6040151 The IntELiMon team releases Terrestrial laser scanning (TLS) derived datasets via the project's viewer daily. The datasets include multiple types of information related to each acquisition, including 3D point clouds, field observations, and surface and canopy fuel metrics in csv format. CSDGM FGDC XML metadata are included as a static accompanying file along with the dynamic datasets. Land managers and practitioners utilize monitoring activities to document current conditions, changes and trends to guide land management decisions. Monitoring information can be used to evaluate forestry, fuels, ecological change associated with ecological processes or because of management activities and are often extrapolated to evaluate management success or determine the needs of future work. The mission of the lidar monitoring program is to develop efficient methods for monitoring our natural and cultural resources and to provide effective decision-support tools for land managers. This project is a collaborative effort developed with partners from USDA Forest Service, U.S. Fish and Wildlife Service, Department of Defense, Bureau of Indian Affairs, National Park Service, U.S. Geological Survey, Universities, and the New Mexico Consortium. This multidisciplinary team seeks to integrate lidar and modeling techniques to monitor fuels and ecosystems and link fire modeling for land management decision support. The goal is to standardize monitoring across agencies with uniform language, methods, and data analysis. Please contact https://dmsdata.cr.usgs.gov/lidar-monitoring/contact for any technical assistance or questions. 2021 Present ground condition Complete Daily -169.4531 -65.9100 71.5249 23.5600 ISO 19115 Topic Category environment None lidar Terrestrial laser scanning High-resolution Geodata GIS Mapping USGS U.S. Geological Survey Point cloud map Fuel monitoring Ecosystem monitoring Fire modeling Land management USGS Thesaurus lidar ecosystem monitoring None U.S. US CONUS None United States USGS Metadata Identifier USGS:00a101f1-b6c3-4761-97ee-f959a0e4cd58 None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. U.S. Geological Survey https://dmsdata.cr.usgs.gov/lidar-monitoring/contact IntELiMon Team mailing and physical

47914 252nd Street

Sioux Falls SD 57198-0001 United States 605-594-6151 605-594-6589 custserv@usgs.gov USDA Forest Service, U.S. Fish and Wildlife Service, Department of Defense, Bureau of Indian Affairs, National Park Service, the New Mexico Consortium, and University partners 3D point cloud datasets and field data A formal accuracy assessment has not been completed. No formal logical accuracy tests were conducted. Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. No formal positional accuracy tests were conducted. No formal positional accuracy tests were conducted. Automated Processing and Analysis of Data Terrestrial laser scanning (TLS) data collected through our monitoring protocols are processed automatically using the IntELiMon processing pipeline maintained by our USGS Earth Resources Observation and Science (EROS) Center partners. Each TLS scan taken in the field can be directly uploaded through IntELiMon, on the EROS server, where they are processed and archived with explicit metadata for each dataset. This initial processing results in 100’s of structural metrics calculated from each TLS point cloud, and when coupled with initial transect field data, are used in a machine learning environment to predict tree and fuels data used in forestry and ecological monitoring. EROS is capable of processing 100's of TLS datasets per day and the results are delivered via the IntELiMon Viewer. For more detailed information visit the https://dmsdata.cr.usgs.gov/lidar-monitoring/ page to learn more. 2026 Point Entity point 100 spreadsheet attributes Comma Separated Value (CSV) file containing data. Producer Defined ID location ID of the scan Producer Defined Example: FLSMR_0028_20210713_1 Site site identification of the scan Producer Defined Example: FLSMR Plot Number plot number of the scan Producer Defined Example: 0028 Date date of the scan Producer Defined Example: 2021-07-13 Trees Number the number of detected overstory trees in the scan Producer Defined Example: 17 MeanTH the mean height of all detected overstory trees in the scan, in meters Producer Defined Example: 17.545117 MaxTH the height of the tallest detected overstory tree, in meters Producer Defined Example: 26.141 MDBH the mean diameter at breast height (1.37 m) of all detected overstory trees in the scan, in meters Producer Defined Example: 10.324149 Basal Area the total basal area of detected overstory trees corrected for possible occlusion, converted to imperial measurements, and scaled to acres, in square feet per acre Producer Defined Example: 110 CBH the canopy base height in the scan (currently estimated using the 25th percentile of point density of a stemless point cloud above 1 meter), in meters Producer Defined Example: 9 For additional details, see the IntELiMon_metrics_table_descriptions.csv and IntELiMon_output_readme.csv files within each downloaded area. https://dmsdata.cr.usgs.gov/lidar-monitoring/contact or https://dmsdata.cr.usgs.gov/lidar-monitoring/viewer/ U.S. Geological Survey - ScienceBase mailing address

Denver Federal Center

Building 810

Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P13T3UG3 None 20260318 U.S. Geological Survey https://dmsdata.cr.usgs.gov/lidar-monitoring/contact IntELiMon Team mailing and physical

47914 252nd Street

Sioux Falls SD 57198-0001 United States 605-594-6151 605-594-6589 custserv@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998