Sentinel-1 pour la caractérisation des sols · 2020-05-19 · crust», Remote Sensing of Environment, 115, p. 1801-1810, 2011. B AGHDADI N., K ING C., B OURGUIGNON A., R MOND A.,

COPERNICUS et agriculture

Sentinel-1 pour la caractérisationdes sols

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Références bibliographiques (articles)

BAGHDADI N., SABA E., AUBERT M., ZRIBI M., BAUP F., « Comparison between backscattered TerraSARsignals and simulations from the radar backscattering models IEM, Oh, and Dubois », IEEE Geoscience and Remote Sensing Letters, 8(6), p.1160-1164, 2011.

BAGHDADI N., CAMUS P., BEAUGENDRE N., MALAM ISSA O., ZRIBI M., DESPRATS J.F., RAJOT J.L., ABDALLAH C., SANNIER C., «Estimating surface soil moisture from TerraSAR-X data over two small catchments in the sahelian part of western Niger», Remote Sensing, 3, p. 1266-1283, doi:10.3390/rs3061266, 2011.

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BAGHDADI N., CRESSON R., POTTIER E., AUBERT M., ZRIBI M., JACOME A., BENABDALLAH S., «A potential use for the C-band polarimetric SAR parameters to characterise the soil surface over bare agriculture fields», IEEE Transactions on Geoscience and Remote Sensing, 50(10), p. 3844-3858., 2012.

BAGHDADI N., DUBOIS-FERNANDEZ P., DUPUIS X., and ZRIBI M., «Sensitivity of multi-frequency (X, C, L, P and UHF-band) polarimetric SAR data to soil moisture and surface roughness over bare agricultural soils», IEEE Geoscience and Remote Sensing Letters, 10(4), p. 731-735, 2013.

BAGHDADI N., ZRIBI M., PALOSCIA S., VERHOEST N., LIEVENS H., BAUP F., MATTIA F., « Semi-empirical calibration of the Integral Equation Model for co-polarized L-band backscattering », Remote Sensing, 7, p. 13626-13640, doi: 10.3390/rs71013626, 2015.


BAGHDADI N., EL HAJJ M., ZRIBI M., FAYAD I., «Coupling SAR C-band and optical data for soil moisture and leaf area index retrieval over irrigated grasslands», IEEE JSTARS, vol. 9, no. 3, pp. 1229-1243.doi: 10.1109/JSTARS.2015.2464698, 2015.

Baghdadi N., Choker M., Zribi M., El Hajj M., Paloscia S., Verhoest N., Lievens H., Baup F., Mattia F., 2016. A new empirical model for radar scattering from bare soil surfaces. Remote Sensing, vol. 8, Issue 11, pp. 1-14, doi: 10.3390/rs8110920.

Baghdadi N., El Hajj M., Zribi M., Bousbih S., 2017. Calibration of the Water Cloud Model at C-band for winter crop fields and grasslands, Remote Sensing, 9, 969; doi:10.3390/rs9090969.

Baghdadi N., El Hajj M., Choker M., Zribi M., Bazzi H., Vaudour E., Gilliot J.M., Dav M. Ebengo, 2018. Potential of Sentinel-1 images for estimating the soil roughness over bare agricultural soils. Water, 10, 131, pp. 1-14, doi: 10.3390/w10020131.

Baghdadi N., Bazzi H., El Hajj M., Zribi M., 2018. Detection of frozen soil using Sentinel-1 SAR data. Remote Sensing, 10, 1182, pp. 1-15, doi:10.3390/rs10081182

Bazzi H., Baghdadi N., El Hajj M., Zribi M., Belhouchette H., 2019. A Comparison of Two SoilMoisture Products S2MP and Copernicus-SSM over Southern France. Journal of Selected Topicsin Applied Earth Observations and Remote Sensing, 10 pages

Bazzi H., Baghdadi N., El Hajj M., Zribi M., 2019. Potential of Sentinel-1 Surface Soil Moisture Product for Detecting Heavy Rainfall in the South of France, Sensors, 2019, 19, 802; doi:10.3390/s19040802


Bazzi H., Baghdadi N., Ienco D., El Hajj M., Zribi M., Belhouchette H., Escorihuela M.J., DemarezV., 2019. Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain. Remote Sensing, Remote Sens. 2019, 11, 1836; doi:10.3390/rs11151836.

Bousbih S., Zribi M., Lili-Chabaane Z., Baghdadi N., El Hajj M., Gao Q., Mougenot B., 2017. Potential of Sentinel-1 radar data for the assessment of soil and cereal cover parameters, Sensors, 17, 2617; doi: 10.3390/s17112617.

Bousbih S., Zribi M., El Hajj M., Baghdadi N., Lili-Chabaane Z., Gao Q., Fanise P., 2018. Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data, Remote Sensing, 2018, 10(12), 1953

Bousbih S., Zribi M., Mougenot B., Pelletier C., Lili-Chabaane Z., Baghdadi N., Ben Aissa N., Gorrab A., 2019. Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2. Remote Sensing, 2019, 11, 1520

Choker M., Baghdadi N., Zribi M., El Hajj M., Paloscia S., Verhoest N., Lievens H., Mattia F., 2017. Evaluation of the Oh, Dubois and IEM models using large dataset of SAR signal and experimental soil measurements. Water, 9(38), pp. 1-27.

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EL HAJJ M., BAGHDADI N., ZRIBI M., BELAUD G., CHEVIRON B., COURAULT D., CHARRON F., 2016, «Soil moisture retrieval over irrigated grassland using X-band SAR data», Remote Sensing of Environment, vol. 176, pp. 202-218


El Hajj M., Baghdadi N., Cheviron B., Belaud G., Zribi M., 2016. Integration of remote sensing derived parameters in crop models: application to the PILOTE model for hay production. Agricultural Water Management, vol. 176, pp. 67-79

El Hajj M., Baghdadi N., Cheviron B., Zribi M., Angelliaume S., 2016. Analysis of Sentinel-1 radiometric stability and quality for land surface applications. Remote Sensing, 8(5), 406, doi:10.3390/rs8050406

El Hajj M., Baghdadi N., Zribi M., Bazzi H., Synergic use of Sentinel-1 and Sentinel-2 images for operational soil moisture mapping at high spatial resolution over agricultural areas, Remote Sensing, 2017, 9, 1292; doi:10.3390/rs9121292

El Hajj M., Baghdadi N., Zribi M., Rodríguez-Fernández N., Wigneron J.P., Al-Yaari A., Al Bitar A., Albergel C., Calvet J.C., 2018. Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 soil moisture products at sites in Southwestern France, Remote Sensing, 10, 569, pp. 1-17, doi:10.3390/rs10040569.

El Hajj M., Baghdadi N., Zribi M., 2019. Comparative analysis of the accuracy of surface soil moisture estimation from the C- and L-bands. International Journal of Applied Earth Observations and Geoinformation, 82(2019), 101888


El Hajj M., Baghdadi N., Bazzi H., Zribi M., 2019. Penetration analysis of SAR signals in the C and L bands for wheat, maize, and grasslands. Remote Sensing, 2019, 11, 31; doi:10.3390/rs11010031

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Gao Q., Zribi M., Escorihuela M.J., Baghdadi N., Segui P.Q., Irrigation mapping using Sentinel-1 time series at field scale, Remote Sensing, 2018, 10, 1495; doi:10.3390/rs10091495

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ZRIBI, M., CHAHBI, A., LILI, Z., DUCHEMIN, B., BAGHDADI, N., AMRI, R., CHEHBOUNI, A., «Soil surfacemoisture estimation over a semi-arid region using ENVISAT ASAR radar data for soil evaporationevaluation», Hydrology and Earth System Sciences, 15, p. 345-358, 2011.

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ZRIBI M., BAGHDADI N., LE HÉGARAT S., OTTLÉ C., LOUMAGNE C., «Suivi de l’état hydrique du sol partélédétection radar», Editeurs Loumagne C. et Tallec G., L’observation long terme enenvironnement, Exemple du bassin de l’Orgeval, éditions QUAE, Versailles, 2013.

ZRIBI M., GORRAB A., BAGHDADI N., «A new soil roughness parameter for the modelling of radarbackscattering over bare soil», Remote Sensing of Environment, 152, p. 62-73,doi:10.1016/j.rse.2014.05.009, 2014.

ZRIBI M., GORRAB A., BAGHDADI N., LILI-CHABAANE Z., «Influence of radar frequency on therelationship between bare surface soil moisture vertical profile and radar backscatter», IEEEGeoscience and Remote Sensing Letters, 11(4), p. 848-852

Zribi M., Sahnoun M., Baghdadi N., Le Toan T., Ben Hamida A., 2016. Analysis of the relationshipbetween backscattered P-band radar signals and soil roughness. Remote Sensing of Environment,vol. 8, pp. 13-21

Zribi M., Muddu S., Bousbih S., Al Bitar A., Tomer S.K., Baghdadi N., Bandyopadhyay S., 2019.Analysis of L-band SAR data for soil moisture estimations over agricultural areas in the tropics.Remote Sensing, 2019, 11, 1122, doi:10.3390/rs11091122, 22 pages


El Hajj M., Baghdadi N., Zribi M., 2018. Estimation de l’humidité du sol par couplage d’imagesradar et optique. Chapitre book: Baghdadi N., Mallet C., et Zribi M. (eds), QGIS et applications enagriculture et forêt, vol. 2, p. 15-58, 2018, ISTE Editions, 374 pp.

El Hajj M., Baghdadi N., Zribi M., 2018. Coupling radar and optical data for soil moisture retrievalover agricultural areas. Chapter book: Baghdadi N., Mallet C., and Zribi M. (eds), QGIS andapplications in Agriculture and Forest, vol. 2, p. 1-46, 2018, ISTE-Wiley Editions, 364 pp.

El Hajj M., Zribi M., Baghdadi N., Lepage M., 2018. Cartographie de la sécheresse. Chapitre book:Baghdadi N., Mallet C., et Zribi M. (eds), QGIS et applications en eau et risques, vol. 4, p. 209-240, 2018, ISTE Editions, 320 pp.

El Hajj M., Zribi M., Baghdadi N., Lepage M., 2018. Mapping of Drought. Chapter book: BaghdadiN., Mallet C., and Zribi M. (eds), QGIS and applications in water and risks, vol. 4, p. 185-214,2018, ISTE-Wiley Editions, Wiley, 306 pp.

Baghdadi N., Zribi M., 2016. Characterisation of soil surface properties using radar remotesensing. Chapitre book: Baghdadi N. and Zribi M. (eds), Land surface remote sensing incontinental hydrology, p. 1-40, Septembre 2016, Elsevier, 502 pp.

Références bibliographiques (chapitres)

Baghdadi N., et Zribi M., 2016. Caractérisation des états de surfaces des sols par télédétectionradar. Chapitre book: Baghdadi N. et Zribi M. (eds), Observation des Surfaces Continentales parTélédétection: Hydrologie continentale, vol. 4, p. 21-54, 2016, ISTE Editeur, Elsevier, 456 pp.

Zribi M. and Baghdadi N., 2015. Potential of high spatial resolution radars for the characterizationof soil propertiesin agricultural environments. Chapitre book: Lucke, B., Bäumler, R., Schmidt, M.(eds), Soils and Sediments as Archives of landscape change in the subtropics and tropics. ErlangerGeographische Arbeiten Band, ISBN 978-3-941665-04-0, 42, Chapter 4, pp. 33–52.

Zribi M., Baghdadi N., Le-Hégarat S., and Loumagne C., 2013. Suivi de l’état hydrique du sol partélédétection radar. Chapitre ouvrage QUAE « L'observation long terme pour la recherche enenvironnement, exemple du Bassin Versant de l'Orgeval (1962-2012) », Editions QUAE, ISBN :978-2-7592-2073-1, pp. 257-268.

Baghdadi N., Zribi M., Aubert M., and Loumagne C., 2013. Performance des capteurs radar àsynthèse d’ouverture pour la caractérisation des états de surface des sols en milieux agricoles.Chapitre ouvrage QUAE « L'observation long terme pour la recherche en environnement,exemple du Bassin Versant de l'Orgeval (1962-2012) », Editions QUAE, ISBN : 978-2-7592-2073-1,pp. 231-243.

Références bibliographiques (chapitres)

Références bibliographiques (ouvrages)

Références bibliographiques (ouvrages)

Auteurs - Crédits

L’UMR TETIS (AgroParisTech-Cirad-CNRS-Irstea) a élaboré cette formation

« COPERNICUS et Agriculture ».

Ce module est réalisé dans le cadre d’un marché

d’AgroParisTech avec le CNES (n° 5700003548 / DIA095 ).

L’opération a bénéficié d’un soutien financier de l’Union Européenne

dans le cadre du FPA « Caroline Herschel ».

Présenté par Nicolas BAGHDADI (IRSTEA)

Montage réalisé par Pierre-Yves VION (AgroParisTech)

Publié en 2020, sous Licence Creative Commons CC BY SA

Documents

Sentinel-1 pour la caractérisation des sols · 2020-05-19 · crust», Remote Sensing of Environment, 115, p. 1801-1810, 2011. B AGHDADI N., K ING C., B OURGUIGNON A., R MOND A.,