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  3. Uncrewed Aircraft Systems (UAS) natural color, multispectral, lidar, and hyperspectral remote sensing data products collected at dryland sites 40 km south of Moab, Utah in May 2023
  4. Multispectral structure-from-motion digital elevation and reflectance orthomosaic data products from Uncrewed Aircraft System (UAS) surveys of dryland sites 40 km south of Moab, Utah in May 2023

Multispectral structure-from-motion digital elevation and reflectance orthomosaic data products from Uncrewed Aircraft System (UAS) surveys of dryland sites 40 km south of Moab, Utah in May 2023

Dates

Publication Date
Time Period
2023-05-03
Time Period
2023-05-05

Citation

Scholl, V.M., Burgess, M.A., Bauer, M.A., Brady, L.R., and Thurau, R.G., 2024, Uncrewed Aircraft Systems (UAS) natural color, multispectral, lidar, and hyperspectral remote sensing data products collected at dryland sites 40 km south of Moab, Utah in May 2023: U.S Geological Survey data release, https://doi.org/10.5066/P9MMCJET.

Summary

In support of U.S. Geological Survey (USGS) Southwest Biological Science Center researchers, and in coordination with the Bureau of Land Management (BLM) and National Ecological Observatory Network (NEON), the USGS National Uncrewed Systems Office (NUSO) conducted uncrewed aircraft systems (UAS) remote sensing flights over two BLM Assessment, Inventory, and Monitoring (AIM) plots at the NEON Moab site in Utah for multi-scale carbon sequestration research on public lands. The UAS data collected include natural color, multispectral, and hyperspectral imagery, and lidar to capture diverse information about vegetation and soils on drylands. The first site (“site 1”) features intact sagebrush and was mapped on May 3, 2023. The second site [...]

Contacts

Point of Contact :
U.S. Geological Survey
Originator :
Victoria M. Scholl, Matthew A. Burgess, Mark A. Bauer, Lance R. Brady, Richard G. Thurau
Metadata Contact :
Victoria M. Scholl
Publisher :
U.S. Geological Survey
USGS Mission Area :
Core Science Systems
Data Owner :
Geosciences and Environmental Change Science Center
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

2023-05_Moab_UAS_Multispectral_metadata.xml
Original FGDC Metadata
View 		41.54 KB application/fgdc+xml
2023-05_Moab_UAS_Multispectral_browse.PNG
“SfM DSM, true-color ortho, and false-color multispectral products at site 1.” 		thumbnail 1.64 MB image/png
2023-05-03_Moab_Site1_Multi_Ortho_5band.tif
“Site 1 multispectral 5-band ortho” 		789.6 MB image/geotiff
2023-05-03_Moab_Site1_Multi_Ortho_5band.hdr
“Site 1 multispectral 5-band ortho header” 		931 Bytes text/plain
2023-05-05_Moab_Site7_Multi_Ortho_5band.tif
“Site 7 multispectral 5-band ortho” 		729.02 MB image/geotiff
2023-05-05_Moab_Site7_Multi_Ortho_5band.hdr
“Site 7 multispectral 5-band ortho header” 		931 Bytes text/plain
2023-05-03_Moab_Site1_Multi_DSM.tif
“Site 1 multispectral SfM DSM” 		23.6 MB image/geotiff
2023-05-05_Moab_Site7_Multi_DSM.tif
“Site 7 multispectral SfM DSM” 		19.65 MB image/geotiff

“Site 1 multispectral SfM Point Cloud” 		1.85 GB application/unknown
2023-05-05_Moab_Site7_Multi_PointCloud.las
“Site 7 multispectral SfM Point Cloud” 		332.75 MB application/unknown

Purpose

Multispectral UAS images were collected to capture information about the color of vegetation and soil at dyland sites. Multispectral reflectance orthomosaics can be used to classify land cover types, calculate spectral indices, and assess vegetation health. SfM point clouds and DSMs can be used to assess the terrain and vegetation structure at dryland sites.
SfM DSM, true-color ortho, and false-color multispectral products at site 1.
SfM DSM, true-color ortho, and false-color multispectral products at site 1.

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