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Dav EBENGO MWAMPONGO

Maison des Sciences de l'homme/IntelEsapce · University of Clermont Auvergne

https://researchid.co/daebengo
@uca.fr
180Google Scholar Citations
7Google Scholar h-index
6Google Scholar i10-index

Research Interests

Remote sensing, GIS, Spatial Analysis and Data sciences

Biography

Dav is a PhD in Geomatics with multidisciplinary expertise in ecology, forestry, ecophysiology, pedology, and programming. His deep passion lies in remote sensing and its applications in natural resource management. His research focuses on the processing and analysis of passive and active remote sensing data, as well as the development of methodologies for environmental monitoring, epidemiology, and natural hazard assessment. He is particularly interested in data-driven approaches and physical modeling to study the Earth system through optical and radar remote sensing, employing advanced image processing techniques. His holistic vision and expertise enable him to make significant contributions to the understanding and preservation of our environment.

Education

AgroParisTech, PhD in Remote sensing University of Paris-Saclay, MSc in Soil Science University of Kinshasa, Diploma in Agricultural Engineering, specializing in Tropical Forestry

Recent Google Scholar Publications

  1. Interactions between vegetation and river morphodynamics. Part I: Research clarifications and challenges
    Earth-Science Reviews 253, 104769 , 2024, 2024 | Citations: 34.0
  2. Interactions between vegetation and river morphodynamics. Part II: Why is a functional trait framework important?
    Earth-Science Reviews 253, 104709 , 2024, 2024 | Citations: 23.0
  3. Trajectoires de succession végétale dans deux secteurs de cours d'eau contrastés: vers une approche fonctionnelle biogéomorphologique
    ECOVEG17 , 2024, 2024
  4. Projected changes in rainfall amount and distribution in the Democratic Republic of Congo–Evidence from an ensemble of high-resolution climate simulations
    Weather and Climate Extremes 42, 100620 , 2023, 2023 | Citations: 10.0
  5. Validation of the DART model for airborne laser scanner simulations on complex forest environments
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote … , 2023, 2023 | Citations: 9.0

Grants / Consultancy

Postdoctoral Grant (2 years): University of Clermont Auvergne PhD Grant (4 years): INRAE & Regional Council of Occitanie Bachelor and Master scholarship: BEBUC - fUNIKIN None

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