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Hire Emilien A.

France

USD 40 /hr

Earth observation scientist

Profile Summary

My research focuses on environmental monitoring and mapping by optical remote sensing using convolutional neural networks. In my work I exploit the flexibility of UAVs as a bridge between satellite and in-situ observations via approaches ranging from multi-scale analysis to data fusion.

Subject Matter Expertise

• ★ Remote Sensing
• ★ Computer Vision
• ★ Landscape Ecology
• ☆ Forestry
• ☆ Environmental Engineering and Technology
• ☆ Data Analysis
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Statistics
• ☆ Spatial Statistics
• ☆ Earth & Atmospheric Science
• ☆ Geographic Information Systems (GIS)
• ☆ Environmental Science
• ☆ Environmental Management & Protection
• ☆ Environmental Policy
• ☆ Environmental Remediation
• ☆ Deforestation
• ☆ Environmental Health
• ☆ Environmental Statistics
• ☆ Ecology
• ☆ Ecosystem Management
• ☆ Applied Ecology
• ☆ Ecological Restoration
• ☆ Marine Conservation
• ☆ Marine Ecology
• ☆ Grasslands
• ☆ Biodiversity
• ☆ Agroecology

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Mining

Product Development Product Validation, Concept Development, Prototyping, Reverse Engineering

Work Experience

PhD student

LETG-Rennes-COSTEL

September 2018 - Present

Chercheur Postdoctoral

Ifremer Centre de Bretagne

June 2022 - December 2023

Education

Master (Geography, Remote Sensing and Environment)

University of Rennes 2

September 2016 - July 2018

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Emilien Alvarez-Vanhard, Guglielmo Fernandez Garcia, Thomas Corpetti (2023). Super-Resolution by Fusing Multispectral and Terrain Models: Application to Water Level Mapping . IEEE Geoscience and Remote Sensing Letters.

Emilien Alvarez-Vanhard, Thomas Corpetti, Thomas Houet(2021). UAV & satellite synergies for optical remote sensing applications: A literature review . Science of Remote Sensing. 3. p. 100019. Elsevier {BV}

Xing Jin, Ping Tang, Thomas Houet, Thomas Corpetti, Emilien Gence Alvarez-Vanhard, Zheng Zhang(2021). Sequence Image Interpolation via Separable Convolution Network . Remote Sensing. 13. (2). p. 296. {MDPI} {AG}

Xing Jin, Ping Tang, Thomas Houet, Thomas Corpetti, Emilien Gence Alvarez-Vanhard, Zheng Zhang (2021). Sequence Image Interpolation via Separable Convolution Network . Remote Sensing.

Emilien Alvarez-Vanhard, Antoine Mury, Antoine Collin, Thomas Houet, Dorothée James(2020). Using Multispectral Drone Imagery for Spatially Explicit Modeling of Wave Attenuation through a Salt Marsh Meadow . Drones. 4. (2). p. 25. {MDPI} {AG}

Can UAVs fill the gap between in situ surveys and satellites for habitat mapping? @article{alvarezvanhard:hal-02559702, TITLE = {{Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?}}, AUTHOR = {Alvarez-Vanhard, Emilien and Houet, Thomas and Mony, Cendrine and Lecoq, Lucie and Corpetti, Thomas}, URL = {https://hal.archives-ouvertes.fr/hal-02559702}, JOURNAL = {{Remote Sensing of Environment}}, PUBLISHER = {{Elsevier}}, VOLUME = {243}, PAGES = {111780}, YEAR = {2020}, MONTH = Jun, DOI = {10.1016/j.rse.2020.111780}, PDF = {https://hal.archives-ouvertes.fr/hal-02559702/file/Alvarez-Vanhard_2020.pdf}, HAL_ID = {hal-02559702}, HAL_VERSION = {v1}, } . Remote Sensing of Environment.

Emilien Alvarez-Vanhard, Charlotte Brabant, Achour Laribi, Gwénaël Morin, Kim Thanh Nguyen, Alban Thomas, Thomas Houet(2019). Comparison of Hyperspectral Techniques for Urban Tree Diversity Classification . Remote Sensing. 11. (11). p. 1269. {MDPI} {AG}

OTHER

UAV & satellite synergies for Ecology : a review @misc{alvarezvanhard:hal-02941762, TITLE = {{UAV \\& satellite synergies for Ecology : a review}}, AUTHOR = {Alvarez-Vanhard, Emilien and Houet, Thomas and Corpetti, Thomas}, URL = {https://hal.archives-ouvertes.fr/hal-02941762}, NOTE = {Poster}, HOWPUBLISHED = {{GEOBON 2020}}, YEAR = {2020}, MONTH = Jul, PDF = {https://hal.archives-ouvertes.fr/hal-02941762/file/ALVAREZ_POSTER_UAV-and-satellite-synergies.pdf}, HAL_ID = {hal-02941762}, HAL_VERSION = {v1}, } .

CONFERENCE PAPER

Improving the classification of urban tree diversity from Very High Spatial Resolution hyperspectral images: comparison of multiples techniques @inproceedings{brabant:halshs-02191097, TITLE = {{Improving the classification of urban tree diversity from Very High Spatial Resolution hyperspectral images: comparison of multiples techniques}}, AUTHOR = {Brabant, Charlotte and Alvarez-Vanhard, Emilien and Houet, Thomas}, URL = {https://halshs.archives-ouvertes.fr/halshs-02191097}, BOOKTITLE = {{Joint Urban Remote Sensing Event (JURSE 2019)}}, ADDRESS = {Vannes, France}, YEAR = {2019}, MONTH = May, KEYWORDS = {reduction dimension ; classification ; learning methods ; Tree species ; urban area}, PDF = {https://halshs.archives-ouvertes.fr/halshs-02191097/file/JURSE2019_Brabant%26al_V2.pdf}, HAL_ID = {halshs-02191097}, HAL_VERSION = {v1}, } .

Satellite multispectral unmixing by drone data for wet grassland habitats classification @inproceedings{alvarezvanhard:halshs-02191100, TITLE = {{Satellite multispectral unmixing by drone data for wet grassland habitats classification}}, AUTHOR = {Alvarez-Vanhard, Emilien and Lecoq, Lucie and Houet, Thomas and Corpetti, Thomas and Mony, Cendrine}, URL = {https://halshs.archives-ouvertes.fr/halshs-02191100}, BOOKTITLE = {{4th Open Science Meeting of the Global Land Programme}}, ADDRESS = {Berne, Switzerland}, YEAR = {2019}, MONTH = Apr, HAL_ID = {halshs-02191100}, HAL_VERSION = {v1}, } .

Evaluation of dimensional reduction methods on urban vegetation classification performance using hyperspectral data @inproceedings{brabant:halshs-02191363, TITLE = {{Evaluation of dimensional reduction methods on urban vegetation classification performance using hyperspectral data}}, AUTHOR = {Brabant, C. and Alvarez-Vanhard, Emilien and Morin, Gwena{\"e}l and Nguyen, Thanh Ngoc and Laribi, Achour and Houet, Thomas}, URL = {https://halshs.archives-ouvertes.fr/halshs-02191363}, BOOKTITLE = {{IGARSS 2018}}, ADDRESS = {Valencia, Spain}, YEAR = {2018}, MONTH = Jul, PDF = {https://halshs.archives-ouvertes.fr/halshs-02191363/file/Article_Brabant%26al_HYEP.pdf}, HAL_ID = {halshs-02191363}, HAL_VERSION = {v1}, } .