Joseph A. Affinati Janice G Talley 20260429 1.0 remote-sensing image USGS ScienceBase U.S. Geological Survey https://doi.org/10.5066/P1SJAJ8Q The U.S. Geological Survey collected low-altitude airborne natural color imagery, surface temperatures and multispectral imagery via a hexacopter uncrewed aircraft system (UAS) for mapping Hoxworth Springs, Clark Well and Buck Springs in the Coconino National Forest in Arizona. Visual imagery was collected in jpg (for color imagery) and TIFF (for thermal imagery and multispectral imagery) format and Structure-from-Motion (SfM) photogrammetry techniques were applied to derive high-resolution natural color, thermal (surface temperatures), and multispectral orthomosaics along with digital surface models and point clouds of the study areas in 2025. Ground control points (GCPs), which are temporary targets on the ground located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rover, were used in georectification in the SfM process. Agisoft Metashape Professional (v. 2.1.3 build 18946) was used to create a natural color orthomosaic, multispectral orthomosaic, and a surface temperature orthomosaic for the data collected in 2025. In July and December 2025, the U.S. Geological Survey Arizona Water Science Center-Flagstaff Field Office collected a repeat low-altitude airborne data from an uncrewed aircraft systems (UAS) for mapping vegetation health and surface temperatures at Hoxworth Springs, Clark Well and Buck Springs in the Coconino National Forest in Arizona. The orthomosaic imagery, DSM and point clouds can be used to observe ground conditions, changes in vegetation, and surface temperature on land and in the bodies of water in the study areas. 20250715 20250725 20251210 ground condition Complete None planned -111.6348 -111.0223 35.1266 34.3298 ISO 19115 Topic Category elevation imageryBaseMapsEarthCover health environment USGS Thesaurus remote sensing surface water (non-marine) none orthomosaic uncrewed aircraft system UAS drone thermal multispectral springs pointcloud DSM digital surface model USGS Metadata Identifier USGS:6995f7dfb66b01c0fd9b2ef9 Geographic Names Information System (GNIS) Coconino National Forest Arizona Hoxworth Springs Clark Well Buck Springs None. Acknowledgement of the U.S. Geological Survey would be appreciated in products derived from this data release. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Not for navigational use. Joseph A Affinati U.S. Geological Survey, AZ WSC, Southwest Region Geographer mailing address

2255 N. Gemini Dr.

Flagstaff AZ 86001 US 928-556-7352 jaffinati@usgs.gov U.S.D.A. Forest Service, Four Forest Restoration Initiative (4FRI) Multiparty Monitoring Board (MPMB), Grand Canyon Trust, and The Nature Conservancy See individual child items for Native Data Set Environment. Jin-Si R. Over Andrew C. Ritchie Christine J. Kranenburg Jenna A. Brown Daniel D. Buscombe Tom Noble Christopher R. Sherwood Jonathan A. Warrick Phillipe A. Wernette 2021 publication n/a US Geological Survey This is a user guide that details the Agisoft Metashape workflow that take imagery and creates 3D products. Photoscan is the precursor program to Metashape but the steps are very similar. https://doi.org/10.3133/ofr20211039 See individual child items for attribute accuracy report. See individual child items for logical consistency report. Data set 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. See individual child items for horizontal accuracy for each dataset. See individual child items for vertical accuracy for each dataset. See individual child items for process steps. 2025 Joseph A Affinati U.S. Geological Survey, AZ WSC, Southwest Region Geographer mailing address

2255 N. Gemini Dr.

Flagstaff AZ 86001 US 928-556-7352 jaffinati@usgs.gov U.S. Geological Survey GS ScienceBase mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. 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 for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Digital Data https://www.sciencebase.gov/catalog/item/6995f7dfb66b01c0fd9b2ef9 https://doi.org/10.5066/P1SJAJ8Q None 20260429 Joseph A Affinati U.S. Geological Survey, AZ WSC, Southwest Region Geographer mailing address

2255 N. Gemini Dr.

Flagstaff AZ 86001 US 928-556-7352 jaffinati@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998