Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas

McCann, Cooper; Repasky, Kevin S.; Morin, Mikindra; Lawrence, Rick L.; Powell, Scott

doi:10.1109/TGRS.2017.2699618

Title: Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas

Abstract

Low-cost flight-based hyperspectral imaging systems have the potential to provide important information for ecosystem and environmental studies as well as aide in land management. To realize this potential, methods must be developed to provide large-area surface reflectance data allowing for temporal data sets at the mesoscale. This paper describes a bootstrap method of producing a large-area, radiometrically referenced hyperspectral data set using the Landsat surface reflectance (LaSRC) data product as a reference target. The bootstrap method uses standard hyperspectral processing techniques that are extended to remove uneven illumination conditions between flight passes, allowing for radiometrically self-consistent data after mosaicking. Through selective spectral and spatial resampling, LaSRC data are used as a radiometric reference target. Advantages of the bootstrap method include the need for minimal site access, no ancillary instrumentation, and automated data processing. Data from two hyperspectral flights over the same managed agricultural and unmanaged range land covering approximately 5.8 km² acquired on June 21, 2014 and June 24, 2015 are presented. As a result, data from a flight over agricultural land collected on June 6, 2016 are compared with concurrently collected ground-based reflectance spectra as a means of validation.

Authors:

^[1]; Repasky, Kevin S. ^[1]; Morin, Mikindra ^[1]; Lawrence, Rick L. ^[1]; Powell, Scott ^[1]

Montana State Univ., Bozeman, MT (United States)

Publication Date:: Tue Jul 25 00:00:00 EDT 2017

Research Org.:: Montana State Univ., Bozeman, MT (United States)

Sponsoring Org.:: USDOE Office of Fossil Energy (FE)

OSTI Identifier:: 1398275

Grant/Contract Number:: FC26-05NT42587

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Geoscience and Remote Sensing

Additional Journal Information:: Journal Volume: 55; Journal Issue: 9; Journal ID: ISSN 0196-2892

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; 60 APPLIED LIFE SCIENCES; agriculture; algorithms; remote sensing; vegetation; vegetation mapping

Citation Formats


                    McCann, Cooper, Repasky, Kevin S., Morin, Mikindra, Lawrence, Rick L., and Powell, Scott. Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas.  United States: N. p., 2017. 
Web.  doi:10.1109/TGRS.2017.2699618.

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                    McCann, Cooper, Repasky, Kevin S., Morin, Mikindra, Lawrence, Rick L., & Powell, Scott. Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas.  United States.  https://doi.org/10.1109/TGRS.2017.2699618

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                    McCann, Cooper, Repasky, Kevin S., Morin, Mikindra, Lawrence, Rick L., and Powell, Scott. Tue .  
"Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas".  United States.  https://doi.org/10.1109/TGRS.2017.2699618.  https://www.osti.gov/servlets/purl/1398275.

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@article{osti_1398275,

  title        = {Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas},

  author       = {McCann, Cooper and Repasky, Kevin S. and Morin, Mikindra and Lawrence, Rick L. and Powell, Scott},

  abstractNote = {Low-cost flight-based hyperspectral imaging systems have the potential to provide important information for ecosystem and environmental studies as well as aide in land management. To realize this potential, methods must be developed to provide large-area surface reflectance data allowing for temporal data sets at the mesoscale. This paper describes a bootstrap method of producing a large-area, radiometrically referenced hyperspectral data set using the Landsat surface reflectance (LaSRC) data product as a reference target. The bootstrap method uses standard hyperspectral processing techniques that are extended to remove uneven illumination conditions between flight passes, allowing for radiometrically self-consistent data after mosaicking. Through selective spectral and spatial resampling, LaSRC data are used as a radiometric reference target. Advantages of the bootstrap method include the need for minimal site access, no ancillary instrumentation, and automated data processing. Data from two hyperspectral flights over the same managed agricultural and unmanaged range land covering approximately 5.8 km2 acquired on June 21, 2014 and June 24, 2015 are presented. As a result, data from a flight over agricultural land collected on June 6, 2016 are compared with concurrently collected ground-based reflectance spectra as a means of validation.},

  doi          = {10.1109/TGRS.2017.2699618},

  journal      = {IEEE Transactions on Geoscience and Remote Sensing},

  number       = 9,

  volume       = 55,

  place        = {United States},

  year         = {Tue Jul 25 00:00:00 EDT 2017},

  month        = {Tue Jul 25 00:00:00 EDT 2017}

}

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Title: Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas

Abstract

Citation Formats

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