Processed Surface Imagery & Raster Imagery taken onboard TigerShark (U3) UAS

Goldberger, Lexie; Mei, Fan

doi:10.5439/1822938

Title: Processed Surface Imagery & Raster Imagery taken onboard TigerShark (U3) UAS

Dataset
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Abstract

Land-surface orthomosaic imagery derived from the images collected using the Micasense Altum Imager on board the UAS TigerShark (U3) on March 11th, 2021 at an altitude of 2000 ft. The Altum takes images of the land surface across five visible bands and one long wave infrared thermal band. The photogrametry software Agisoft PhotoScan v 1.4 is used to align and stitch the images into a larger composet image using the technique of structure from motion image capture to construct a dense cloud and 3-D model of the surface, which is used to produce a digital elevation model of the terraine surveyed and orthomosaic imagery. This dataset contains the raster calculated orthomosaics of various vegetative indicies, which are used to indicate plant health and land surface characteristics, including Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Water Index (NDWI), surface temperature, and Enhanced_vegetation_index (EVI). These orthomosaics were collected west of the Starkville, MS, airport, and include natural, agricultural, and industrial land coverage. The images have a resolution of 0.2 m/pix.

Authors:

Goldberger, Lexie; Mei, Fan

ORNL

Publication Date:: Wed Mar 10 23:00:00 EST 2021

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; Surface condition, ARM, DOE.

OSTI Identifier:: 1822938

DOI:: https://doi.org/10.5439/1822938

Citation Formats


                    Goldberger, Lexie, and Mei, Fan. Processed Surface Imagery & Raster Imagery taken onboard TigerShark (U3) UAS.  United States: N. p., 2021. 
        Web.  doi:10.5439/1822938.

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                    Goldberger, Lexie, & Mei, Fan. Processed Surface Imagery & Raster Imagery taken onboard TigerShark (U3) UAS.  United States.  doi:https://doi.org/10.5439/1822938

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                    Goldberger, Lexie, and Mei, Fan. 2021.  
"Processed Surface Imagery & Raster Imagery taken onboard TigerShark (U3) UAS".  United States.  doi:https://doi.org/10.5439/1822938.  https://www.osti.gov/servlets/purl/1822938. Pub date:Wed Mar 10 23:00:00 EST 2021

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@article{osti_1822938,

  title        = {Processed Surface Imagery & Raster Imagery taken onboard TigerShark (U3) UAS},

  author       = {Goldberger, Lexie and Mei, Fan},

  abstractNote = {Land-surface orthomosaic imagery derived from the images collected using the Micasense Altum Imager on board the UAS TigerShark (U3) on March 11th, 2021 at an altitude of 2000 ft. The Altum takes images of the land surface across five visible bands and one long wave infrared thermal band. The photogrametry software Agisoft PhotoScan v 1.4 is used to align and stitch the images into a larger composet image using the technique of structure from motion image capture to construct a dense cloud and 3-D model of the surface, which is used to produce a digital elevation model of the terraine surveyed and orthomosaic imagery. This dataset contains the raster calculated orthomosaics of various vegetative indicies, which are used to indicate plant health and land surface characteristics, including Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Water Index (NDWI), surface temperature, and Enhanced_vegetation_index (EVI).  These orthomosaics were collected west of the Starkville, MS, airport, and include natural, agricultural, and industrial land coverage. The images have a resolution of 0.2 m/pix. },

  doi          = {10.5439/1822938},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Mar 10 23:00:00 EST 2021},

  month        = {Wed Mar 10 23:00:00 EST 2021}

}

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DOI: https://doi.org/10.5439/1822938

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