{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T17:49:34Z","timestamp":1776275374027,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T00:00:00Z","timestamp":1574640000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Monitoring 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 \u00d7 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 (R2 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.<\/jats:p>","DOI":"10.3390\/rs11232769","type":"journal-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T03:10:00Z","timestamp":1574651400000},"page":"2769","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields"],"prefix":"10.3390","volume":"11","author":[{"given":"Mohammad","family":"El Hajj","sequence":"first","affiliation":[{"name":"IRSTEA, University of Montpellier, UMR TETIS, 500 rue Fran\u00e7ois Breton, 34093 Montpellier CEDEX 5, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9461-4120","authenticated-orcid":false,"given":"Nicolas","family":"Baghdadi","sequence":"additional","affiliation":[{"name":"IRSTEA, University of Montpellier, UMR TETIS, 500 rue Fran\u00e7ois Breton, 34093 Montpellier CEDEX 5, France"}]},{"given":"Jean-Pierre","family":"Wigneron","sequence":"additional","affiliation":[{"name":"INRA, Centre INRA Bordeaux Aquitaine, URM1391 ISPA, F-33140 Villenave d\u2019Ornon, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6141-8222","authenticated-orcid":false,"given":"Mehrez","family":"Zribi","sequence":"additional","affiliation":[{"name":"Centre d\u2019Etudes Spatiales de la BIOsph\u00e8re (CESBIO), Universit\u00e9 de Toulouse, CNES\/CNRS\/IRD\/UPS\/INRA, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse CEDEX 9, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1095-2702","authenticated-orcid":false,"given":"Cl\u00e9ment","family":"Albergel","sequence":"additional","affiliation":[{"name":"CNRM, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, 31057 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6425-6492","authenticated-orcid":false,"given":"Jean-Christophe","family":"Calvet","sequence":"additional","affiliation":[{"name":"CNRM, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, 31057 Toulouse, France"}]},{"given":"Ibrahim","family":"Fayad","sequence":"additional","affiliation":[{"name":"IRSTEA, University of Montpellier, UMR TETIS, 500 rue Fran\u00e7ois Breton, 34093 Montpellier CEDEX 5, France"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.agwat.2016.05.017","article-title":"Integration of remote sensing derived parameters in crop models: Application to the PILOTE model for hay production","volume":"176","author":"Baghdadi","year":"2016","journal-title":"Agric. 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