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 · 81 citations · Full text

Natural Sciences, Crop Sciences, Earth Sciences +16

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 · 49 citations

Agriculture, Agronomy, Crop Sciences +17

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 · 44 citations · Full text

Natural Sciences, Crop Sciences, Earth Sciences +17

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

Maryem Ismaili, Samira Krimissa, Mustapha Namous et al. · Agronomy · 2023 · 39 citations · Full text

Agriculture, Earth Sciences, Soil Sciences +16

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 · 33 citations

Agriculture, Agronomy, Crop Sciences +17