Postdoctoral Research Fellow
School of Earth and Environment · University of Leeds
Using remote sensing and machine learning to build resilient, sustainable agricultural systems.
I am a Postdoctoral Research Fellow at the School of Earth and Environment, University of Leeds, and a member of the Institute for Climate and Atmospheric Science.
My research focuses on developing Earth observation methodologies for sustainable agriculture, combining satellite remote sensing with machine learning to address challenges in crop classification, soil moisture retrieval, irrigation detection, and drought monitoring.
I currently contribute to the iSPARK project, developing Earth observation approaches for crop classification and drought and irrigation monitoring to support sustainable agriculture in Kenya.
Fusing Sentinel-1 SAR, Sentinel-2 and Landsat-8 time series with machine learning to map what is growing, where — from semi-arid Spain to smallholder Kenya.
~90% F1 across 12 crop types and 2,000+ field plots · Remote Sensing, 2020Distinguishing irrigated from rainfed fields using satellite time series — evidence that matters for water accounting in water-limited regions.
88.4% accuracy on fruit-tree orchards · Remote Sensing, 2024Inverting radar scattering models with neural networks, using UAV photogrammetry to measure the surface roughness term in situ.
R² up to 0.78 over agricultural fields · Remote Sensing, 2021From flux-tower eddy covariance measurements in Tunisia to satellite-scale drought-stress monitoring of maize systems in western Kenya.
Field-validated ET in hilly watersheds · Atmosphere, 2018Innovation in Sustainability, Policy, Adaptation and Resilience in Kenya — developing Earth observation methodologies for crop classification and drought and irrigation monitoring to safeguard food security in western Kenya. Presented at the 3rd International Crop Modelling Symposium (iCROPM2026), Florence.
Postdoctoral Research Fellow
School of Earth and Environment, University of Leeds, UK
Multi-sensor Earth observation for crop sustainability and resilience on the iSPARK programme — monitoring cropping systems and drought stress in smallholder farming systems across Eastern Africa.
Postdoctoral Researcher
Regional Development Institute (IDR), University of Castilla-La Mancha, Spain
UAV-based vine disease detection, irrigation monitoring, and optical–radar satellite fusion for precision agriculture.
Doctoral Researcher
University of Castilla-La Mancha, Spain
PhD research on multi-sensor remote sensing and machine learning for crop classification and surface soil-moisture retrieval, under a competitive European Social Fund scholarship.
Research Staff
National Institute for Research in Rural Engineering, Water and Forestry (INRGREF), Tunisia
Estimation of actual evapotranspiration from eddy covariance measurements in a hilly watershed on the Cap Bon peninsula.
Proceedings of IAHS, 385, 443–448
2024Remote Sensing, 16(3), 458
2024Remote Sensing, 14(19), 5013
2022Remote Sensing, 13(24), 4968
2021Remote Sensing, 13(8), 1546
2021Remote Sensing, 13(2), 243
2021Remote Sensing, 12(11), 1735
2020Agricultural Systems, 171, 36–50
2019Atmosphere, 9(2), 68
2018Proceedings, 1(5), 134
2017PhD in Agricultural and Environmental Sciences
University of Castilla-La Mancha, Spain
2023
MSc in Integrated Planning for Rural Development and Environmental Management
CIHEAM Zaragoza / University of Lleida, Spain
2018
Engineering Degree in Horticultural Systems
University of Sousse, Tunisia
2015