Multispectral and thermal surface imagery and surface elevation mosaics (camspec-air)

Tomlinson, Jason

doi:10.5439/1894300

Title: Multispectral and thermal surface imagery and surface elevation mosaics (camspec-air)

Dataset
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Abstract

This dataset contains high resolution image products (orthomosaics) acquired from midsized uncrewed aerial systems, which have been processed for value added quality. The instrument itself, a multispectral imager, the Altum by Micasense, captures 6 spectral bands (red, green blue, NIR, red edge, and LWIR/thermal1) as radiance, which is converted to reflectance. 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 documentation3. Captures at different altitudes (recorded in MSL) produce an orthomosaic, a tif image containing information related to the 6 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. 1https://www.arm.gov/publications/tech_reports/handbooks/doe-sc-arm-tr-281.pdf 2https://micasense.github.io/imageprocessing/MicaSense%20Image%20Processing%20Setup.html 3https://pubs.usgs.gov/of/2021/1039/ofr20211039.pdf

Authors:

Tomlinson, Jason

ORNL

Publication Date:: Tue Apr 11 00:00:00 EDT 2023

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; Multispectral and thermal imager, the Altum by Micasense,surface reflectance, ARM, DOE.

OSTI Identifier:: 1894300

DOI:: https://doi.org/10.5439/1894300

Citation Formats


                    Tomlinson, Jason. Multispectral and thermal surface imagery and surface elevation mosaics (camspec-air).  United States: N. p., 2023. 
        Web.  doi:10.5439/1894300.

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                    Tomlinson, Jason. Multispectral and thermal surface imagery and surface elevation mosaics (camspec-air).  United States.  doi:https://doi.org/10.5439/1894300

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                    Tomlinson, Jason. 2023.  
"Multispectral and thermal surface imagery and surface elevation mosaics (camspec-air)".  United States.  doi:https://doi.org/10.5439/1894300.  https://www.osti.gov/servlets/purl/1894300. Pub date:Tue Apr 11 00:00:00 EDT 2023

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@article{osti_1894300,

  title        = {Multispectral and thermal surface imagery and surface elevation mosaics (camspec-air)},

  author       = {Tomlinson, Jason},

  abstractNote = {This dataset contains high resolution image products (orthomosaics) acquired from midsized uncrewed aerial systems, which have been processed for value added quality. The instrument itself, a multispectral imager, the Altum by Micasense, captures 6 spectral bands (red, green blue, NIR, red edge, and LWIR/thermal1) as radiance, which is converted to reflectance. 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 documentation3. Captures at different altitudes (recorded in MSL) produce an orthomosaic, a tif image containing information related to the 6 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.  1https://www.arm.gov/publications/tech_reports/handbooks/doe-sc-arm-tr-281.pdf 2https://micasense.github.io/imageprocessing/MicaSense%20Image%20Processing%20Setup.html  3https://pubs.usgs.gov/of/2021/1039/ofr20211039.pdf  },

  doi          = {10.5439/1894300},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Apr 11 00:00:00 EDT 2023},

  month        = {Tue Apr 11 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.5439/1894300

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