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
180
Scholar Citations
7
Scholar h-index
6
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
Interactions between vegetation and river morphodynamics. Part I: Research clarifications and challenges D Corenblit, H Piégay, F Arrignon, E González-Sargas, A Bonis, ... Earth-Science Reviews 253, 104769 , 2024 2024 Citations: 34
Interactions between vegetation and river morphodynamics. Part II: Why is a functional trait framework important? D Corenblit, H Piégay, F Arrignon, E González-Sargas, A Bonis, ... Earth-Science Reviews 253, 104709 , 2024 2024 Citations: 23
Trajectoires de succession végétale dans deux secteurs de cours d'eau contrastés: vers une approche fonctionnelle biogéomorphologique C Courcoul, E Tabacchi, F Arrignon, A Bonis, DM Ebengo, ... ECOVEG17 , 2024 2024
Projected changes in rainfall amount and distribution in the Democratic Republic of Congo–Evidence from an ensemble of high-resolution climate simulations F Bangelesa, D Abel, F Pollinger, P Rai, K Ziegler, D Ebengo, ... Weather and Climate Extremes 42, 100620 , 2023 2023 Citations: 10
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 Féret, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote … , 2023 2023 Citations: 9
Simulating imaging spectroscopy in tropical forest with 3D radiative transfer modeling DM Ebengo, F De Boissieu, G Vincent, C Weber, JB Féret Remote Sensing 13 (11), 2120 , 2021 2021 Citations: 14
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 Féret 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution … , 2019 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 2019
Simulation d'un signal Lidar avec DART pour le développement de LEAF, une mission Lidar spatiale pour le suivi des écosystèmes 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 2018 Citations: 32
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 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 2018 Citations: 2
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 2018 Citations: 56
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 2018 Citations: 56
Interactions between vegetation and river morphodynamics. Part I: Research clarifications and challenges D Corenblit, H Piégay, F Arrignon, E González-Sargas, A Bonis, ... Earth-Science Reviews 253, 104769 , 2024 2024 Citations: 34
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 2018 Citations: 32
Interactions between vegetation and river morphodynamics. Part II: Why is a functional trait framework important? D Corenblit, H Piégay, F Arrignon, E González-Sargas, A Bonis, ... Earth-Science Reviews 253, 104709 , 2024 2024 Citations: 23
Simulating imaging spectroscopy in tropical forest with 3D radiative transfer modeling DM Ebengo, F De Boissieu, G Vincent, C Weber, JB Féret Remote Sensing 13 (11), 2120 , 2021 2021 Citations: 14
Projected changes in rainfall amount and distribution in the Democratic Republic of Congo–Evidence from an ensemble of high-resolution climate simulations F Bangelesa, D Abel, F Pollinger, P Rai, K Ziegler, D Ebengo, ... Weather and Climate Extremes 42, 100620 , 2023 2023 Citations: 10
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 Féret, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote … , 2023 2023 Citations: 9
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 2018 Citations: 2
Trajectoires de succession végétale dans deux secteurs de cours d'eau contrastés: vers une approche fonctionnelle biogéomorphologique C Courcoul, E Tabacchi, F Arrignon, A Bonis, DM Ebengo, ... ECOVEG17 , 2024 2024
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 Féret 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution … , 2019 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 2019
Simulation d'un signal Lidar avec DART pour le développement de LEAF, une mission Lidar spatiale pour le suivi des écosystèmes forestiers S Durrieu, F de Boissieu, JP Gastellu-Etchegorry, G Vincent, C Lavalley, ... 2019
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 2018
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
