Abdelaziz Htitiou

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

Tarik Benabdelouahab, Hayat Lionboui, Abdelaziz Htitiou, 2020, Geocarto International.

Classification and status monitoring of agricultural crops in central Morocco: a synergistic combination of OBIA approach and fused Landsat-Sentinel-2 data

Tarik Benabdelouahab, Hayat Lionboui, Abdelaziz Htitiou, 2021 .

Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data

Adil Salhi, Ahmed Laamrani, Tarik Benabdelouahab, 2021, Remote. Sens..

Deep Learning-Based Spatiotemporal Fusion Approach for Producing High-Resolution NDVI Time-Series Datasets

Tarik Benabdelouahab, Abdelaziz Htitiou, Abdelghani Boudhar, 2021, Canadian Journal of Remote Sensing.

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

Rachid Hadria, Bernard Tychon, Tarik Benabdelouahab, 2019, Remote Sensing in Earth Systems Sciences.