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Comprehensive study of the biophysical parameters of agricultural crops based on assessing Landsat 8 OLI and Landsat 7 ETM+ vegetation indices

hal.structure.identifierUniversität Greifswald - University of Greifswald
dc.contributor.authorAHMADIAN, Nima
hal.structure.identifierUniversität Greifswald - University of Greifswald
dc.contributor.authorGHASEMI, Sahar
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierUniversität Greifswald - University of Greifswald
dc.contributor.authorZÖLITZ, Reinhard
dc.date.accessioned2024-04-08T12:03:07Z
dc.date.available2024-04-08T12:03:07Z
dc.date.issued2016
dc.identifier.issn1548-1603
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196246
dc.description.abstractEnFor three agricultural crop types, winter wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), and canola (Brassica napus L.), we estimated biophysical parameters including fresh and dry biomass, leaf area index and vegetation water content, for which we found the equivalent water thickness (EWT), fuel moisture content per fresh weight (FMCFW) and fuel moisture content per dry weight (FMCDW). We performed these estimations using data from the newly launched Landsat 8 Operational Land Imager (OLI) sensor, as well as its predecessor the Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Progress in the design of the new sensor (i.e. Landsat 8), including narrower near-infrared wavebands, higher signal-to-noise ratio (SNR), and greater radiometric resolution highlights the necessity to investigate the biophysical parameters of agricultural crops, especially compared to data from its predecessor. This study aims to evaluate vegetation indices (VIs) derived from the Landsat 8 OLI and the Landsat 7 ETM+. Both the Landsat 8 OLI and Landsat 7 ETM+ VIs agreed well with in-situ data measurements. However, the Landsat 8 OLI-derived VIs were generally more consistent with in situ data than the Landsat 7 ETM+ VIs. We also note that the Landsat 8 OLI is better able to capture the small variability of the VIs because of its higher SNR and wider radiometric range; in addition, the saturation phenomenon occurred earlier for the Landsat 7 ETM+ than for the Landsat 8 OLI. This indicates that the new sensor is better able to estimate the biophysical parameters of crops.
dc.language.isoen
dc.publisherTaylor & Francis: STM, Behavioural Science and Public Health Titles
dc.subjectvegetation index
dc.subject.enbiophysical parameters
dc.subject.enLandsat 8 OLI
dc.subject.enLandsat 7 ETM+
dc.subject.enagricultural crops
dc.title.enComprehensive study of the biophysical parameters of agricultural crops based on assessing Landsat 8 OLI and Landsat 7 ETM+ vegetation indices
dc.typeArticle de revue
dc.identifier.doi10.1080/15481603.2016.1155789
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalGIScience and Remote Sensing
bordeaux.page337-359
bordeaux.volume53
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue3
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02631898
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02631898v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=GIScience%20and%20Remote%20Sensing&rft.date=2016&rft.volume=53&rft.issue=3&rft.spage=337-359&rft.epage=337-359&rft.eissn=1548-1603&rft.issn=1548-1603&rft.au=AHMADIAN,%20Nima&GHASEMI,%20Sahar&WIGNERON,%20Jean-Pierre&Z%C3%96LITZ,%20Reinhard&rft.genre=article


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