Abdelaziz Htitiou

The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region

Abdelaziz Htitiou, Abdelghani Boudhar, Youssef Lebrini et al. · Remote Sensing in Earth Systems Sciences · 2019 · 79 citations · Full text

Precision Agriculture, Engineering, Forest Biometrics +14

A comparative analysis of different phenological information retrieved from Sentinel-2 time series images to improve crop classification: a machine learning approach

Abdelaziz Htitiou, Abdelghani Boudhar, Youssef Lebrini et al. · Geocarto International · 2020 · 47 citations

Precision Agriculture, Crop Classification, Machine Learning +26

National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine

Abdelaziz Htitiou, Abdelghani Boudhar, Abdelghani Chehbouni et al. · Remote Sensing · 2021 · 40 citations · Full text

Earth Observation, Precision Agriculture, Engineering +23

Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions

Maryem Ismaili, Samira Krimissa, Mustapha Namous et al. · Agronomy · 2023 · 37 citations · Full text

Precision Agriculture, Environmental Monitoring, Machine Learning +18

Monitoring spatial variability and trends of wheat grain yield over the main cereal regions in Morocco: a remote-based tool for planning and adjusting policies

Tarik Benabdelouahab, Youssef Lebrini, Abdelghani Boudhar et al. · Geocarto International · 2019 · 31 citations

Remote-based Tool, Precision Agriculture, Engineering +16