U.S. Department of EnergyOffice of Scientific and Technical Information
Multispectral and thermal surface imagery and surface elevation mosaics - SGP July 2022
Abstract
This data set contains high-resolution image products (orthomosaics) acquired from midsized uncrewed aerial systems that have been processed for value-added quality. The instrument itself, a multispectral imager, the Altum by Micasense, captures six spectral bands (red, green blue, NIR, red edge, and LWIR/thermal1) as radiance, which is converted to reflectance via custom code. The code used to develop these images first uses tools from the Micasense Python library2 to apply dark level corrections, row gradient corrections, and radiometric corrections. Next, it uses the processing API from Agisoft Metashape software to align and mosaic the processed imagery, following the processes developed by the USGS' structure from motion workflow documentation.3 Captures at different altitudes (recorded in MSL) produce an orthomosaic, a tif image containing information related to the six spectral bands, and a digital elevation model (DEM), a tif image containing information related to the elevation of the surveyed terraine. Metadata included in every image can be used to extract lat, lon, and reflectance values.1 https://www.arm.gov/publications/tech_reports/handbooks/doe-sc-arm-tr-281.pdf 2 https://micasense.github.io/imageprocessing/MicaSense%20Image%20Processing%20Setup.html 3 https://pubs.usgs.gov/of/2021/1039/ofr20211039.pdf
- Authors:
-
- ORNL
- Publication Date:
- Other Number(s):
- ARM0728
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Optical surface reflectance in visible and near-infrared bands; thermal emittance (skin temperature)
- OSTI Identifier:
- 1962600
- DOI:
- https://doi.org/10.5439/1962600
Citation Formats
Gonzalez-Hirshfeld, Ilan, Nelson, Kristian, and Goldberger, Lexie. Multispectral and thermal surface imagery and surface elevation mosaics - SGP July 2022. United States: N. p., 2023.
Web. doi:10.5439/1962600.
Gonzalez-Hirshfeld, Ilan, Nelson, Kristian, & Goldberger, Lexie. Multispectral and thermal surface imagery and surface elevation mosaics - SGP July 2022. United States. doi:https://doi.org/10.5439/1962600
Gonzalez-Hirshfeld, Ilan, Nelson, Kristian, and Goldberger, Lexie. 2023.
"Multispectral and thermal surface imagery and surface elevation mosaics - SGP July 2022". United States. doi:https://doi.org/10.5439/1962600. https://www.osti.gov/servlets/purl/1962600. Pub date:Wed Apr 12 00:00:00 EDT 2023
@article{osti_1962600,
title = {Multispectral and thermal surface imagery and surface elevation mosaics - SGP July 2022},
author = {Gonzalez-Hirshfeld, Ilan and Nelson, Kristian and Goldberger, Lexie},
abstractNote = {This data set contains high-resolution image products (orthomosaics) acquired from midsized uncrewed aerial systems that have been processed for value-added quality. The instrument itself, a multispectral imager, the Altum by Micasense, captures six spectral bands (red, green blue, NIR, red edge, and LWIR/thermal1) as radiance, which is converted to reflectance via custom code. The code used to develop these images first uses tools from the Micasense Python library2 to apply dark level corrections, row gradient corrections, and radiometric corrections. Next, it uses the processing API from Agisoft Metashape software to align and mosaic the processed imagery, following the processes developed by the USGS' structure from motion workflow documentation.3 Captures at different altitudes (recorded in MSL) produce an orthomosaic, a tif image containing information related to the six spectral bands, and a digital elevation model (DEM), a tif image containing information related to the elevation of the surveyed terraine. Metadata included in every image can be used to extract lat, lon, and reflectance values.1 https://www.arm.gov/publications/tech_reports/handbooks/doe-sc-arm-tr-281.pdf 2 https://micasense.github.io/imageprocessing/MicaSense%20Image%20Processing%20Setup.html 3 https://pubs.usgs.gov/of/2021/1039/ofr20211039.pdf },
doi = {10.5439/1962600},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 12 00:00:00 EDT 2023},
month = {Wed Apr 12 00:00:00 EDT 2023}
}