Profile abdelaziz kallel
First Name
abdelaziz
Last Name
kallel
Address
CRNS, technopole de Sfax, BOX 275
Zip code
3038
Biography
Pr. Abdelaziz Kallel received the HDR degree from the Sfax University, Tunisia, in 2014. In 2007, he obtained the Ph.D. degree in physics from the Paris-Sud University, France. He got the engineering and M.S. degrees in telecoms from Sup'Com, Tunisia, in 2003 and 2004, respectively. He was a post doc scientist at LSCE, France and Tartu Observatory, Estonia, in 2008 and 2009, respectively. He is currently a senior researcher of remote sensing at Digital Research Centre of Sfax, Tunisia. Particularly, he is the head of the Remote Sensing for Smart Agriculture (RSSA) Team as well as the Laboratory of Signals, systeMs, aRtificial Intelligence and neTworkS (SMARTS). He was the coordinator of the PHC-Utique project (2017-2019): Olive tree monitoring using optical space born instruments as well as the PAQ-Collabora project (2018-2024): Use of ICT in olive growing: toward optimization of water use and regularity of harvests. He is the coordinator of the federated project (2019-2023): SOS-Olivier: Multi-Approach Monitoring of Olive tree Health in Tunisia using Optical Remote Sensing. He is the scientific coordinator of the Orange group research project (2020-2024) 3A : AI for Agriculture in Africa. He is the first investigator of the valorization project with the CHO Company (2023-2024) ERO: Estimation of the Olive Tree yield. His research interest concerns radiative transfer theory and application to vegetation (crop, plant, forest, …) cover property inversion using passive and active optical remote sensing techniques.
Research Interests
Remote Sensing, Radiative Transfer, Inverse modeling, Satellite Image Processing
Scientific publications
Title | Cited by | Year |
---|---|---|
Olive Tree Health Monitoring Approach Using Satellite Images and Based on Artificial Intelligence: Toward Automatic Olive Stress Detection SolutionA Makhloufi, H Abdelmoula, AB Abdallah, A KallelIGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 |
2 | 2022 |
Olive tree health monitoring approach using satellite images and based on Artificial Intelligence: Satellite image for Olive tree health monitoringA Kallel, A Makhloufi, A Ben AliProceedings of the Federated Africa and Middle East Conference on Software …, 2022 |
0 | 2022 |
Improving retrieval of crop biophysical properties in dryland areas using a multi-scale variational RTM inversion approachRH Sihem Chaabouni, Abdelaziz KallelInternational Journal of Applied Earth Observation and Geoinformation 94, 102220, 2021 |
19 | 2021 |
Retrieval of olive tree biophysical properties from Sentinel-2 time series based on physical modelling and machine learning techniqueA Makhloufi, A Kallel, R Chaker, JP Gastellu-EtchegorryInternational Journal of Remote Sensing 42 (22), 8542-8571, 2021 |
16 | 2021 |
Joint estimation of leaf area density and leaf angle distribution using TLS point cloud for forest standsA Mkaouar, A Kallel, ZB Rabah, TS ChahedIEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 |
15 | 2021 |