Sandrine Daniel Email & Phone Number

Ramonville-Saint-Agne, Occitanie, France

Responsable des activités relatives aux missions d'observation non-conventionnelles comme SWOT/S3NG (Altimètre à fauchée), CFOSAT (Altimètre diffusiomètre), Harmony, Odysea.- Coordonner les activités d'études, de simulation et d'analyse des missions d'Observation- Montage d'appels d'offre

Toulouse, Occitanie, France

Data & AI Business development in differents sectors

Projects:* GEORICE (DUE Innovators III funding), using Sentinel-1 SAR data for rice monitoring, with the Mekong river delta as demonstration site. This project intends to contribute to the Asia rice crop estimation and monitoring, a major component of the GEOGLAM initiative, which aims to enhance rice production estimates across Asia through the use of Earth Observation.Task: Prototyping and industrialization of scientific algorithm from CESBIO French Lab for an operational application of rice field monitoring with Sentinel-1 data (ESA)Skill: SAR remote sensing, Python, Pydoop* FAAPS (Fully Automated Aqua Processing Service), in the ESA IAP (Integrated Applications Promotion) programme frame, SW elements to automatically process the ENVISAT and Sentinel radar images to assess the flooding area, using the technologies such as hadoop, cloud and mobile technologies (on smartphone and tablet) to share information. Project in collaboration with Capgemini Austria. (https://artes-apps.esa.int/projects/faaps)Task: Participating to the industrialization of a software prototype for an operational application of flood alert and detection areas from SAR data (ESA). Scientific algorithm have been developed by TU-Vienna.Skill: SAR remote sensing, ENVI/IDL

Toulouse Area, France

The Scientific Office of Capgemini, Toulouse, includes Earth observation physicists, mathematicians and scientific developers.Among its missions, the Scientific Office prepares future satellite missions, helps with the industrialisation of scientific algorithms from labs, and proposes space applications

Région De Toulouse, France

* SWOT mission:There are two primary science rationales for the development of SWOT (1) make high-resolution (HR), wide-swath altimetric measurement of the ocean surface topography to make fundamental advances in the understanding of the oceanic mesoscale and submesoscale processes, and (2) measure the elevation of water on land to make fundamental advances in the understanding of the spatial and temporal distribution of the storage and discharge of water on land.* SWOT-HR projects : - SWOT-HR scientific simulator design and implementation (CNES). From the feasibility study and to industrialized prototypes- Analyzing airborne measurement campaigns in the SWOT-HR context (DRIVE-BUSARD data from ONERA) (CNES)Publication: "KaRIn on SWOT: Characteristics of near-nadir Ka-band interferometric SAR imagery", Fjortoft R., Gaudin J.M., Pourthie N., Lalaurie J.C., Mallet A., Nouvel J.F., Martinot-Lagarde J., Oriot H., Borderies P., Ruiz C., Daniel S., IEEE Transactions on Geoscience and Remote Sensing 04/2014; 52(4):2172-2185.* AltiKa Mission: SARAL/AltiKa is the world’s first satellite equipped with a Ka-band (35.75 GHz) altimeter for the measurement of ocean levels.(https://altika-saral.cnes.fr/en/SARAL/index.htm)* AltiKa project:- Sensitivity study of Electromagnetic responses of a model describing snow of Antarctica in the context of AltiKa(CNES)

Project:GEORICE provides services (using Sentinel-1 data) to the rice monitoring stakeholders. This tool, web-accessible, proposes to generate and display paddy maps, season rice maps or season phenology maps. The services include rice crop grown area at a given time of the year, rice crop area estimates per season and per year, early warning of yield shortage and indicators of rice production. Project in collaboration with CESBIO French lab.Video: https://www.youtube.com/watch?v=JdvH2y6g8uc

* BIOMASS mission:The primary scientific objectives of the Biomass mission are (1) to determine the distribution of aboveground biomass in the tropical forests and (2) to measure annual changes in this stock over the period of the mission (~5 years).Project:Characterization of tropical forest using PolInSAR techniques in the frame of the BIOMASS missionPublications:"The TropiSAR airborne campaign in French Guiana: Objectives, description and observed temporal behavior of the backscatter signal", Dubois-Fernandez P., Le Toan T., Daniel S., Oriot H., Chave J., Blanc L., Villard L., Davidson M. et Petit M., IEEE Geoscience and Remote sensing, vol.56, no 8, pp 3228-3241, August 2012."TropiSAR, a SAR data acquisition campaign in French Guiana", Dubois-Fernandez P., Oriot H., Coulombeix C., Cantalloube H., Ruault du Plessis O., Le Toan T., Daniel S., Chave J., Blanc L., Davidson M., Proc EUSAR, 2010.

At Onera, Salon De Provence

* TropiSAR mission in BIOMASS context:The TropiSAR campaign was conducted in French Guiana in the summer 2009 in the framework of the Phase A studies pertaining to the BIOMASS mission, one of the three for Earth Explorer candidates. Its main objectives were the evaluation of P-Band radar imaging over tropical forests for biomass and forest height estimation. Project:- Analysis of Polarimetric and Interferometric SAR data in frame of the TROPISAR project for the remote sensing of tropical forest (in BIOMASS mission context)- Image quality assessment, PolInSAR data processing, physical parameter retrieval, participation to ground measurementsPublication:"P-Band SAR study of Tropcial forest in French Guiana", Daniel S., Dubois-Fernandez P., Le Toan T., Chave J., Blanc L., Davidson M., SPIE 2010.

Teaching topics- Analog and digital electronics- Multidisciplinary projects- Analog Modulation- Digital communications- SAR remote sensing

Airborne polarimetric SAR images analysis for the retrieval of agricultural fields physical parameters- Modelling radar interaction with periodic bare surface - Classification of agricultural fields based on the support vector machine technique and on the analysis of the behaviour of radar polarimetric parameters- Retrieval of soil moisture- Time-frequency analysis- Multi-temporal analysisThis work deals with the soil moisture estimation over different kind of agricultural fields from polarimetric SAR data acquired in L band by the airborne radar of Germany Aerospace center, E-SAR. Different electromagnetic models are studied in order to simulate the backscattering behavior of bare and vegetated soils and to determine the influence of soil moisture on their radar response. Furthermore, plowed agricultural fields are modeled using periodic structure within the surface geometry in order to understand their particular electromagnetic behavior. Classical inversion methods are shown to be unadapted for periodic soils. Thus, a new inversion method based on the polarimetric parameter a1 is developed and applied to the SAR response of periodic bare soils, whose location in the SAR image is detected using a coherent Time-Frequency analysis. Vegetated agricultural fields are studied using multi-temporal SAR images. An identification of different kinds of vegetation is led using a classification based on the support vector machine technique and on the analysis of the behavior of polarimetric parameter. The obtained vegetation maps allow to follow temporal evolution of plants.My thesis manuscrit is available at: http://tel.archives-ouvertes.fr/tel-00523413/fr/

Publications:"Agricultural vegetation classification with SVM and polarimetric SAR data", Daniel S., Angelliaume S., Allain S., Dubois-Fernandez P., Pottier E., SPIE 2010. Soil moisture retrieval over periodic rough surface using POLSAR data, Daniel S., Allain S., Ferro-Famil L., Pottier E., Proc. PolInSAR, Frascatti, Italy, January 2009."Surface parameter estimation over periodic surface using Time-Frequency approach", Daniel S., Allain S., Ferro-Famil L., Pottier E., IGARSS, Boston, US, July 2008."Agricultural Mapping using Polarimetric SAR Data", Daniel S., Allain S., Pottier E., International Symposium on Retrieval of Bio- and Geophysical Parameters fro SAR data, Bari, Italy, September 2007."Short Vegetation Influence on Surface Parameter Estimations", Daniel S., Allain S., Pottier E., IGARSS, Barcelona, Spain, July 2007."Ground-Agricultural Separation by Means of PolInSAR", Neumann M., Daniel S., Ferro-Famil L., Reigber A., Pottier E., Proc. PolInSAR, Frascati, Italy, January 2007."Characterization of SAR polarimetric of periodic surface", Daniel S., Allain S., Pottier E., Proc Majestic, Lorient, France, October 2006.

Quantitative Soil Parameter Estimation using the X-Bragg a Rough Surface Scattering Model

Participation a l'élaboration d'analyses fonctionnelles d'un projet de rénovation d'un process agro-alimentaire (animal), au développement et test de module contrôle conforme au standard ISA S88.

Projet de recherche de 3 mois au sein de l'équipe Antenne de l'IETR. L'étude porte sur la conception et la réalisation double face d'une antenne imprimée Yagi

Projet technique au sein de l'équipe hydrologie de la SERPE-IESM. Le travail consiste à modifier une carte électronique d'un band d'étalonnage de sonde hauteur d'eau.

Doctorat, Traitement Du Signal

Master Recherche, Sti Option Télédétection, Radar, Antenne, Microonde, Propagation

Maitrise, Eea Option Télécommunication

Licence, Eea

Dut, Geii Option Électronique