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First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields

hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorHAJJ, Mohammad
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorBAGHDADI, Nicolas
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorZRIBI, Mehrez
hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorALBERGEL, Clément
hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorCALVET, Jean-Christophe
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorFAYAD, Ibrahim
dc.date.accessioned2024-04-08T12:07:45Z
dc.date.available2024-04-08T12:07:45Z
dc.date.issued2019-12
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196480
dc.description.abstractEnMonitoring crop status at plot scale in agricultural areas is essential for crop and irrigation management and yield optimization. The Vegetation Optical Depth (VOD) of canopy is directly related to the canopy water content, and thus, it represents an effective tool for crop health monitoring. Currently, VOD is provided at low spatial resolution which makes these estimations useless for vegetation monitoring at plot scale. Therefore, the aim of this study is to provide the first approach to estimate VOD at plot scale for non-irrigated plots from C-band Sentinel-1 (S1) Synthetic Aperture Radar (SAR) data. The proposed approach was tested on a study site of 50 km × 50 km located in Catalonia, Spain. VOD estimates were provided for two crop growth cycles of non-irrigated crop types (barley, fallow, oat, wheat, and rapeseed). The relevance of VOD estimates was investigated for both growth cycles using temporal profiles of the Normalized Difference Vegetation Index (NDVI). It is shown that the temporal dynamics of VOD values computed from VV polarization fits that of NDVI with a medium to good coefficient of determination (R 2 ranging from 0.39 to 0.61 for barley, fallow, oat, and wheat respectively). However, during the beginning of the senescence period in both cycles (mainly in May for winter crops), VOD decreases with the decrease in Vegetation Water Content (VWC) while NDVI keeps increasing as photosynthetic activity continues developing. This illustrates the importance of VOD in crop water loss (stress and/or transpiration) monitoring. The potential of VOD to spot water loss in vegetation is also demonstrated as the evening (18h00) VOD values are lower than those of morning (06h00) due to high daytime temperature that reduces water content in vegetation. Finally, it is shown that VOD values computed from VH polarization are not correlated with NDVI.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enVegetation optical depth
dc.subject.enCrops
dc.subject.enSentinel-2
dc.subject.enSentinel-1
dc.title.enFirst Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields
dc.typeArticle de revue
dc.identifier.doi10.3390/rs11232769
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page2769
bordeaux.volume11
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue23
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02386581
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02386581v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2019-12&rft.volume=11&rft.issue=23&rft.spage=2769&rft.epage=2769&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=HAJJ,%20Mohammad&BAGHDADI,%20Nicolas&WIGNERON,%20Jean-Pierre&ZRIBI,%20Mehrez&ALBERGEL,%20Cl%C3%A9ment&rft.genre=article


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