Dav EBENGO MWAMPONGO

@uca.fr

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



                 

https://researchid.co/daebengo

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

RESEARCH, TEACHING, or OTHER INTERESTS

Computers in Earth Sciences, Forestry, Ecological Modeling, Ecology

73

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Interactions between vegetation and river morphodynamics. Part II: Why is a functional trait framework important?
    D Corenblit, H Pigay, F Arrignon, E Gonzlez-Sargas, A Bonis, ...
    Earth-Science Reviews, 104709 2024

  • Validation of the DART model for airborne laser scanner simulations on complex forest environments
    F De Boissieu, F Heuschmidt, N Lauret, DM Ebengo, G Vincent, JB Fret, ...
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023

  • Simulating imaging spectroscopy in tropical forest with 3D radiative transfer modeling
    DM Ebengo, F De Boissieu, G Vincent, C Weber, JB Fret
    Remote Sensing 13 (11), 2120 2021

  • Simulating spectral heterogeneity in tropical forest canopy reflectance with 3D radiative transfer modeling
    DM Ebengo, F de Boissieu, C Lavalley, G Vincent, C Weber, JB Fret
    2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution 2019

  • Simulation of Lidar signal with DART for the development of LEAF, a spaceborne Lidar mission for forest ecosystem monitoring
    S Durrieu, F de Boissieu, JP Gastellu-Etchegorry, G Vincent, C Lavalley, ...
    ESA Living Planet Symposium, 21 2019

  • Simulation d'un signal Lidar avec DART pour le dveloppement de LEAF, une mission Lidar spatiale pour le suivi des cosystmes forestiers
    S Durrieu, F de Boissieu, JP Gastellu-Etchegorry, G Vincent, C Lavalley, ...
     2019

  • Predicting key agronomic soil properties with UV-Vis fluorescence measurements combined with Vis-NIR-SWIR reflectance spectroscopy: A farm-scale study in a Mediterranean
    E Vaudour, ZG Cerovic, DM Ebengo, G Latouche
    Sensors 18 (4), 1157 2018

  • Predicting key agronomic soil properties with fluorescence spectroscopy combined with reflectance spectroscopy: a farm-scale study in a Mediterranean viticultural agroecosystem
    E Vaudour, ZG Cerovic, DM Ebengo, G Latouche
    EGU General Assembly Conference Abstracts, 13983 2018

  • Potential of combined Sentinel 1/Sentinel 2 images for mapping topsoil organic carbon content over cropland taking into account soil roughness
    DM Ebengo, E Vaudour, JM Gilliot, D Hadjar, N Baghdadi
    EGU General Assembly Conference Abstracts, 14368 2018

  • Potential of Sentinel-1 images for estimating the soil roughness over bare agricultural soils
    N Baghdadi, M El Hajj, M Choker, M Zribi, H Bazzi, E Vaudour, JM Gilliot, ...
    Water 10 (2), 131 2018

MOST CITED SCHOLAR PUBLICATIONS

  • Potential of Sentinel-1 images for estimating the soil roughness over bare agricultural soils
    N Baghdadi, M El Hajj, M Choker, M Zribi, H Bazzi, E Vaudour, JM Gilliot, ...
    Water 10 (2), 131 2018
    Citations: 41

  • Predicting key agronomic soil properties with UV-Vis fluorescence measurements combined with Vis-NIR-SWIR reflectance spectroscopy: A farm-scale study in a Mediterranean
    E Vaudour, ZG Cerovic, DM Ebengo, G Latouche
    Sensors 18 (4), 1157 2018
    Citations: 20

  • Simulating imaging spectroscopy in tropical forest with 3D radiative transfer modeling
    DM Ebengo, F De Boissieu, G Vincent, C Weber, JB Fret
    Remote Sensing 13 (11), 2120 2021
    Citations: 7

  • Validation of the DART model for airborne laser scanner simulations on complex forest environments
    F De Boissieu, F Heuschmidt, N Lauret, DM Ebengo, G Vincent, JB Fret, ...
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023
    Citations: 2

  • Potential of combined Sentinel 1/Sentinel 2 images for mapping topsoil organic carbon content over cropland taking into account soil roughness
    DM Ebengo, E Vaudour, JM Gilliot, D Hadjar, N Baghdadi
    EGU General Assembly Conference Abstracts, 14368 2018
    Citations: 2

  • Interactions between vegetation and river morphodynamics. Part II: Why is a functional trait framework important?
    D Corenblit, H Pigay, F Arrignon, E Gonzlez-Sargas, A Bonis, ...
    Earth-Science Reviews, 104709 2024
    Citations: 1

GRANT DETAILS

Postdoctoral Grant (2 years): University of Clermont Auvergne
PhD Grant (4 years): INRAE & Regional Council of Occitanie
Bachelor and Master scholarship: BEBUC - fUNIKIN