Landsat 7 Surface Reflectance Analysis Ready Data 2009

Data for 2009 This dataset is the Landsat 7 Surface Reflectance Analysis Ready Data (ARD) collection archive for Switzerland, generated by USGS (https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance). Detailed description about the Landsat 7 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=349. The Landsat archive is extremely interesting because this is the longest EO program, initiated in 1972, it has provided continual and consistent observations for almost 50 years. Since 2008, the complete data archive has been provided under a free and open access policy. This has enabled dense time-series analysis, moving beyond simple diachronic comparison of a set of images, therefore dramatically improving capabilities to monitor environmental changes. To cover the whole of Switzerland, it requires eight Landsat 7 scenes (Path/Row: 193/027, 194/027, 195/027, 196/027, 193/028, 194/028, 195/028, 196/028) representing an area of latitude 44.9 to 48.7 and longitude 4.1 to 12.8. Data are downloaded as Collection 1/Tier 1 – Level 2 Surface Reflectance encompassing a surface of approximately 185km by 180km. Collection 1/Tier 1 scenes are data with the highest available data quality (e.g., geometric and radiometric corrections) and considered suitable for time-series analysis (https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1). Level 2 corresponds to surface reflectance (i.e., the estimate based on Landsat sensor observations of the fraction of incoming solar radiation reflected from Earth’s surface). These data are corrected for atmospheric perturbations (e.g., aerosol scattering, thin clouds) enabling direct comparison between multiple images and dates. This corresponds to the ARD level. The sensor’s Scan-Line Corrector (SLC) failed in July 2003 and approximately 225 of the pixels per scene have since then not been scanned. However, the spatial and spectral quality of the remaining 78% of pixels images remain valid. Landsat data are provided by USGS with Quality Assessment (QA) information to help users to determine their suitability for specific applications. An 8-bit LandsatLook Quality Image and 16-bit Quality Assessment Band40 are also included. Details on each file are described at: https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band. Level 2 products are generated by the USGS from level 1 product and using the official LEDAPS/LASRC algorithm. "A Pixel Quality Assurance (pixel_qa) band is provided with all Landsat Surface Reflectance-derived Spectral Indices. The band is in unsigned 16-bit format, values are bit-packed and provide information pertaining to a pixel condition of fill, clear, water, cloud shadow, snow, cloud (yes/no), cloud confidence and cirrus cloud confidence (Landsat 8 only)" https://www.usgs.gov/land-resources/nli/landsat/landsat-sr-derived-spectral-indices-pixel-quality-band.

    Organizational unit
    Swiss Data Cube
    Type
    Dataset
    DOI
    License
    Creative Commons Attribution 4.0 International
Publication date31/08/2020
Retention date29/08/2030
accessLevelPublicAccess levelPublic
SensitivityUndefined
licenseContract on the use of data
License
Contributors
41
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Datacite metadata

    
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            <datacite:creatorName nameType="Personal">Giuliani, Gregory</datacite:creatorName>
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            <datacite:affiliation>Université de Genève</datacite:affiliation>
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        <datacite:creator>
            <datacite:creatorName nameType="Personal">Chatenoux, Bruno</datacite:creatorName>
            <datacite:givenName>Bruno</datacite:givenName>
            <datacite:familyName>Chatenoux</datacite:familyName>
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            <datacite:affiliation>Université de Genève</datacite:affiliation>
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            <datacite:creatorName nameType="Personal">Richard, Jean-Philippe</datacite:creatorName>
            <datacite:givenName>Jean-Philippe</datacite:givenName>
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            <datacite:affiliation>Université de Genève</datacite:affiliation>
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    <datacite:titles>
        <datacite:title>Landsat 7 Surface Reflectance Analysis Ready Data 2009</datacite:title>
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    <datacite:publisher>Université de Genève, Yareta</datacite:publisher>
    <datacite:publicationYear>2020</datacite:publicationYear>
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        <datacite:date dateType="Issued">2020-08-31T00:00:00Z</datacite:date>
        <datacite:date dateType="Collected">2009-01-02T00:00:00Z/2009-12-27T00:00:00Z</datacite:date>
        <datacite:date dateType="Created">2020-08-31T11:09:42.095Z</datacite:date>
        <datacite:date dateType="Updated">2020-09-02T06:18:59.38Z</datacite:date>
        <datacite:date dateType="Accepted">2020-09-02T06:37:03.228Z</datacite:date>
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        <datacite:description descriptionType="Abstract" xml:lang="en">Data for 2009
This dataset is the Landsat 7 Surface Reflectance Analysis Ready Data (ARD) collection archive for Switzerland, generated by USGS (https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance).

Detailed description about the Landsat 7 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=349.

The Landsat archive is extremely interesting because this is the longest EO program, initiated in 1972, it has provided continual and consistent observations for almost 50 years. Since 2008, the complete data archive has been provided under a free and open access policy. This has enabled dense time-series analysis, moving beyond simple diachronic comparison of a set of images, therefore dramatically improving capabilities to monitor environmental changes. To cover the whole of Switzerland, it requires eight Landsat 7 scenes (Path/Row: 193/027, 194/027, 195/027, 196/027, 193/028, 194/028, 195/028, 196/028) representing an area of latitude 44.9 to 48.7 and longitude 4.1 to 12.8. Data are downloaded as Collection 1/Tier 1 – Level 2 Surface Reflectance encompassing a surface of approximately 185km by 180km. Collection 1/Tier 1 scenes are data with the highest available data quality (e.g., geometric and radiometric corrections) and considered suitable for time-series analysis (https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1). Level 2 corresponds to surface reflectance (i.e., the estimate based on Landsat sensor observations of the fraction of incoming solar radiation reflected from Earth’s surface). These data are corrected for atmospheric perturbations (e.g., aerosol scattering, thin clouds) enabling direct comparison between multiple images and dates. This corresponds to the ARD level.

The sensor’s Scan-Line Corrector (SLC) failed in July 2003 and approximately 225 of the pixels per scene have since then not been scanned. However, the spatial and spectral quality of the remaining 78% of pixels images remain valid. Landsat data are provided by USGS with Quality Assessment (QA) information to help users to determine their suitability for specific applications. An 8-bit LandsatLook Quality Image and 16-bit Quality Assessment Band40 are also included. Details on each file are described at: https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band. Level 2 products are generated by the USGS from level 1 product and using the official LEDAPS/LASRC algorithm. "A Pixel Quality Assurance (pixel_qa) band is provided with all Landsat Surface Reflectance-derived Spectral Indices. The band is in unsigned 16-bit format, values are bit-packed and provide information pertaining to a pixel condition of fill, clear, water, cloud shadow, snow, cloud (yes/no), cloud confidence and cirrus cloud confidence (Landsat 8 only)" https://www.usgs.gov/land-resources/nli/landsat/landsat-sr-derived-spectral-indices-pixel-quality-band.</datacite:description>
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Packages information

    Metadata version
    2.0
    Disposal approval
    Yes
    Retention expiration
    29/08/2030 00:00:00
    Created
    02/09/2020 06:37:03
    Deposit
    Landsat 7 Surface Reflectance Analysis Ready Data 2009
    Deposit creation
    31/08/2020 11:09:42
    Deposit approval
    02/09/2020 06:18:59
    SIP
    Landsat 7 Surface Reflectance Analysis Ready Data 2009
    AIP
    Landsat 7 Surface Reflectance Analysis Ready Data 2009
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    Oracle Corporation | Software | 1.8.0_265
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    ClamAV | Software | 0.102.4

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