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M. Ali"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"M Th  Koelen"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Faculty of Geo-Information Science and Earth Observation"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"<p>we assessed the performance of partial least squares regression (PLSR) plus 11 widely used vegetation indices (VIs), calculated based on different<br>combinations of Sentinel-2 bands, in predicting LDMC in a coastal wetland. The accuracy of the selected methods was validated using LDMC, destructively measured in randomly distributed sample plots at the study site in Schiermonnikoog, the Netherlands.</p>"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Earth and Environmental Sciences"]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2019-11-13"},{"typeName":"distributionDate","multiple":false,"typeClass":"primitive","value":"2020-01-29"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2020-01-29"}]},"dansRights":{"displayName":"Rights Metadata","name":"dansRights","fields":[{"typeName":"dansRightsHolder","multiple":true,"typeClass":"primitive","value":["Unknown"]},{"typeName":"dansPersonalDataPresent","multiple":false,"typeClass":"controlledVocabulary","value":"Unknown"}]},"dansRelationMetadata":{"displayName":"Relation Metadata","name":"dansRelationMetadata","fields":[{"typeName":"dansAudience","multiple":true,"typeClass":"primitive","value":["https://www.narcis.nl/classification/E15000"],"expandedvalue":[{"@id":"https://www.narcis.nl/classification/E15000","termName":[{"lang":"en","value":"Environmental studies"},{"lang":"nl","value":"Milieustudies"}],"vocabularyUri":"https://www.narcis.nl/classification/"}]},{"typeName":"dansRelation","multiple":true,"typeClass":"compound","value":[{"dansRelationType":{"typeName":"dansRelationType","multiple":false,"typeClass":"controlledVocabulary","value":"is part of"},"dansRelationText":{"typeName":"dansRelationText","multiple":false,"typeClass":"primitive","value":"Validating the Predictive Power of Statistical Models in Retrieving Leaf Dry Matter Content of a Coastal  Wetland from a Sentinel-2 Image. 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