Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]

This dataset is an time-serie of Landsat Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Landsat 5-7-8 data. EVI quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) using the forumla EVI=2.5*(NIR − Red)/(NIR + 6*Red − 7.5*Blue + 1) . See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2 EVI is usually used for areas with high LAI where NDVI is expected to saturate. EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health. EVI values ranges from -1 to +1. Values are provided as integer and multiplied by 1000 Metrics: annual (_annual) and seasonal (_spring; _summer; _autumn; _winter) mean (_nanmean), standard dev (_nanstd), min (_nanmin), max (_nanmax), median (_nanmedian), and amplitude (_range) Data format: GeoTiff This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project

    Organizational unit
    Swiss Data Cube
    Type
    Dataset
    DOI
    License
    Creative Commons Attribution 4.0 International
    Keywords
    vegetation, evi, landsat, valpar
Publication date20/09/2022
Retention date17/09/2032
accessLevelPublicAccess levelPublic
SensitivityBlue
licenseContract on the use of data
License
Contributors
66
0
  • Quality (0 Reviews)
  • Usefulness (0 Reviews)

Datacite metadata

    
      <?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<datacite:resource xmlns:premis="http://www.loc.gov/premis/v3" xmlns:mets="http://www.loc.gov/METS/" xmlns:datacite="http://datacite.org/schema/kernel-4" xmlns:dlcm="http://www.dlcm.ch/dlcm/v2" xmlns:fits="http://hul.harvard.edu/ois/xml/ns/fits/fits_output" xmlns:xlink="http://www.w3.org/1999/xlink">
    <datacite:identifier identifierType="DOI">10.26037/yareta:yhtr4z73dzd6lkqbese65znezm</datacite:identifier>
    <datacite:creators>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">Chatenoux, Bruno</datacite:creatorName>
            <datacite:givenName>Bruno</datacite:givenName>
            <datacite:familyName>Chatenoux</datacite:familyName>
            <datacite:nameIdentifier xsi:type="datacite:nameIdentifier" nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">0000-0001-9947-2945</datacite:nameIdentifier>
        </datacite:creator>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">Giuliani, Gregory</datacite:creatorName>
            <datacite:givenName>Gregory</datacite:givenName>
            <datacite:familyName>Giuliani</datacite:familyName>
            <datacite:nameIdentifier xsi:type="datacite:nameIdentifier" nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">0000-0002-1825-8865</datacite:nameIdentifier>
        </datacite:creator>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">Rodila, Denisa</datacite:creatorName>
            <datacite:givenName>Denisa</datacite:givenName>
            <datacite:familyName>Rodila</datacite:familyName>
        </datacite:creator>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">Schweiger, Anna</datacite:creatorName>
            <datacite:givenName>Anna</datacite:givenName>
            <datacite:familyName>Schweiger</datacite:familyName>
        </datacite:creator>
    </datacite:creators>
    <datacite:titles>
        <datacite:title>Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]</datacite:title>
    </datacite:titles>
    <datacite:publisher>Université de Genève, Yareta</datacite:publisher>
    <datacite:publicationYear>2022</datacite:publicationYear>
    <datacite:resourceType resourceTypeGeneral="Dataset">Dataset</datacite:resourceType>
    <datacite:subjects>
        <datacite:subject subjectScheme="keywords" xml:lang="en">vegetation;evi;landsat;valpar</datacite:subject>
    </datacite:subjects>
    <datacite:contributors>
        <datacite:contributor contributorType="ResearchGroup">
            <datacite:contributorName nameType="Organizational">[ce80a305-b39e-4b72-a664-9268bcd46f92] Swiss Data Cube</datacite:contributorName>
            <datacite:affiliation xsi:type="datacite:affiliation" affiliationIdentifier="https://ror.org/01swzsf04" affiliationIdentifierScheme="ROR" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">[UNIGE] Université de Genève</datacite:affiliation>
            <datacite:affiliation xsi:type="datacite:affiliation" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">[UNIGE-ISE] Université de Genève - Institut des Sciences de l'Environnement</datacite:affiliation>
        </datacite:contributor>
        <datacite:contributor contributorType="ProjectManager">
            <datacite:contributorName nameType="Personal">Giuliani, Gregory</datacite:contributorName>
            <datacite:affiliation xsi:type="datacite:affiliation" affiliationIdentifier="https://ror.org/01swzsf04" affiliationIdentifierScheme="ROR" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">[UNIGE] Université de Genève</datacite:affiliation>
        </datacite:contributor>
        <datacite:contributor contributorType="ProjectManager">
            <datacite:contributorName nameType="Personal">Richard, Jean-Philippe</datacite:contributorName>
            <datacite:affiliation xsi:type="datacite:affiliation" affiliationIdentifier="https://ror.org/01swzsf04" affiliationIdentifierScheme="ROR" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">[UNIGE] Université de Genève</datacite:affiliation>
        </datacite:contributor>
        <datacite:contributor contributorType="ProjectManager">
            <datacite:contributorName nameType="Personal">Chatenoux, Bruno</datacite:contributorName>
            <datacite:affiliation xsi:type="datacite:affiliation" affiliationIdentifier="https://ror.org/01swzsf04" affiliationIdentifierScheme="ROR" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">[UNIGE] Université de Genève</datacite:affiliation>
        </datacite:contributor>
    </datacite:contributors>
    <datacite:dates>
        <datacite:date dateType="Issued">2022-09-20T00:00:00Z</datacite:date>
        <datacite:date dateType="Collected">1984-01-01T00:00:00Z/1989-12-31T00:00:00Z</datacite:date>
        <datacite:date dateType="Created">2022-09-20T11:34:17.035982Z</datacite:date>
        <datacite:date dateType="Updated">2023-11-27T09:33:49.342161718Z</datacite:date>
        <datacite:date dateType="Accepted">2022-09-28T14:50:14.634226Z</datacite:date>
    </datacite:dates>
    <datacite:alternateIdentifiers>
        <datacite:alternateIdentifier alternateIdentifierType="ARK">ark:/64642/rt9yhtr4z73dzd6lkqbese65znezm</datacite:alternateIdentifier>
    </datacite:alternateIdentifiers>
    <datacite:relatedIdentifiers/>
    <datacite:formats>
        <datacite:format>image/x-tiff-big</datacite:format>
        <datacite:format>text/xml</datacite:format>
    </datacite:formats>
    <datacite:rightsList>
        <datacite:rights rightsURI="https://www.dlcm.ch/access-level/final">PUBLIC</datacite:rights>
        <datacite:rights rightsURI="https://www.dlcm.ch/data-tag">BLUE</datacite:rights>
        <datacite:rights rightsURI="https://creativecommons.org/licenses/by/4.0/" rightsIdentifier="CC-BY-4.0" rightsIdentifierScheme="SPDX">Creative Commons Attribution 4.0 International</datacite:rights>
    </datacite:rightsList>
    <datacite:descriptions>
        <datacite:description descriptionType="Abstract" xml:lang="en">This dataset is an time-serie of Landsat Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Landsat 5-7-8 data. EVI quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) using the forumla EVI=2.5*(NIR − Red)/(NIR + 6*Red − 7.5*Blue + 1) . See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2

EVI is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

EVI values ranges from -1 to +1.
Values are provided as integer and multiplied by 1000 

Metrics: annual (_annual) and seasonal (_spring; _summer; _autumn; _winter) mean (_nanmean), standard dev (_nanstd), min (_nanmin), max (_nanmax), median (_nanmedian), and amplitude (_range)

Data format: GeoTiff  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project </datacite:description>
    </datacite:descriptions>
    <datacite:fundingReferences/>
</datacite:resource>

    

Packages information

    Metadata version
    3.0
    Disposal approval
    Yes
    Retention expiration
    17/09/2032 00:00:00
    Created
    29/11/2023 04:05:16
    Deposit
    Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
    Deposit creation
    20/09/2022 11:34:17
    Deposit approval
    28/09/2022 14:19:33
    SIP
    Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
    AIP
    Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
    Agent 1
    Linux | amd64 | 5.10.0-18-amd64
    Agent 2
    Debian | Software | 11.0.16
    Agent 3
    DLCM | Software | 2.1.10
    Agent 4
    FITS | Software | 1.5.5
    Agent 5
    ClamAV | Software | 0.103.7

Similar archives

All rights reserved by DLCM and the University of GenevaunigeBlack