Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]

    
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    <datacite:identifier identifierType="DOI">10.26037/yareta:uwuhhcukevfapgaiznhjh42xia</datacite:identifier>
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            <datacite:creatorName nameType="Personal">Chatenoux, Bruno</datacite:creatorName>
            <datacite:givenName>Bruno</datacite:givenName>
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        <datacite:creator>
            <datacite:creatorName nameType="Personal">Giuliani, Gregory</datacite:creatorName>
            <datacite:givenName>Gregory</datacite:givenName>
            <datacite:familyName>Giuliani</datacite:familyName>
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        <datacite:creator>
            <datacite:creatorName nameType="Personal">Rodila, Denisa</datacite:creatorName>
            <datacite:givenName>Denisa</datacite:givenName>
            <datacite:familyName>Rodila</datacite:familyName>
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        <datacite:creator>
            <datacite:creatorName nameType="Personal">Schweiger, Anna</datacite:creatorName>
            <datacite:givenName>Anna</datacite:givenName>
            <datacite:familyName>Schweiger</datacite:familyName>
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    <datacite:titles>
        <datacite:title>Leaf Area Index (LAI) - Switzerland [2000-2009, 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;leaf;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>
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            <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>
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        <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>
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    <datacite:dates>
        <datacite:date dateType="Issued">2022-09-20T00:00:00Z</datacite:date>
        <datacite:date dateType="Collected">2000-01-01T00:00:00Z/2009-12-31T00:00:00Z</datacite:date>
        <datacite:date dateType="Created">2022-09-20T11:18:47.20874Z</datacite:date>
        <datacite:date dateType="Updated">2023-11-27T09:22:30.363574Z</datacite:date>
        <datacite:date dateType="Accepted">2022-09-30T08:59:16.820659Z</datacite:date>
    </datacite:dates>
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    <datacite:descriptions>
        <datacite:description descriptionType="Abstract" xml:lang="en">This dataset is an time-serie of Landsat Analysis Ready Data (ARD)- derived Leaf Area Index (LAI) computed from Landsat 5-7-8 data. LAI is designed to analyze the foliage surface of our planet and it estimates the quantity of leaves in a specific region using the forumla LAI= 3.618*EVI - 0.118. For more details see Boegh et al. (2002) DOI: 10.1016/S0034-4257(01)00342-X

LAI is a unitless measure that is calculated as the ratio of the one-sided (illuminated) foliage area to the soil surface it can cover. This vegetation index is important to monitor crop and forest health, the environment, and climatic conditions. 

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 (https://www.valpar.ch)</datacite:description>
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Metadata version

3.0

Disposal approval

Yes

Retention expiration

17/09/2032 00:00:00

Created

27/11/2023 10:53:50

Deposit

Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]

Deposit creation

20/09/2022 11:18:47

Deposit approval

30/09/2022 08:59:16

SIP

Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]

AIP

Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]

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