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Ali Azedou
Affiliation : Université Ibn-Tofail · École Nationale Forestière d'Ingénieurs
- 16Publications (affiliation in Morocco)
- 16Total publications
- 140Citations
- 5h-index
Research profile
Ali Azedou has 16 indexed publications (2021–2026). Their work appears mainly in “SSRN Electronic Journal”, “Advances in Science, Technology & Innovation/Advances in science, technology & innovation” and “Ecological Engineering & Environmental Technology”. Their most cited article, “Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neura” (2023), has been cited 53 times. 10 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in United States.
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Create my free profile Add my publicationsResearch areas
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Soil Geostatistics and Mapping
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
Publications (16)
- Quantifying aboveground carbon at risk and composite vulnerability in semi-arid mountain forests: A Landsat and field-inventory approach in the Moroccan High Atlas
- Remote Sensing and Artificial Intelligence for Forest Governance in Morocco
- Application of SAR Technique to Sentinel-1 Images for Monitoring Tailings Elevation Changes of Abandoned Lakhouat Mine (Siliana, Northwestern Tunisia)
- A Google Earth Engine Approach for Wildfire Damage Assessment in the National Park of Talassemtane (NPT) Using Comparative Analysis of Normalized Burn Ratio (NBR) Index from Multitemporal Sentinel-2 Imagery
- Genetic algorithm optimization of ensemble learning approach for improved land cover and land use mapping: Application to Talassemtane National Park
- Ensemble deep learning towards high-resolution soil-moisture mapping for enhanced water management in California's Central Valley
- Ensemble Deep Learning Towards High-Resolution Soil-Moisture Mapping for Enhanced Water Management in California's Central Valley1
- Assessing Vegetation Change Patterns in Talassemtane National Park (Morocco) Using Temporal Segmentation Algorithm and Cloud Computing Techniques
- Ensemble Deep Learning Towards High-Resolution Soil-Moisture Mapping for Enhanced Water Management in California's Central Valley1
- Ensemble Deep Learning Towards High-Resolution Soil-Moisture Mapping for Enhanced Water Management in California's Central Valley
- Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network (DNN)
- Genetic Algorithm Optimization of Ensemble Learning Approach for Accurate Land Cover and Land Use Mapping
- Landsat archive for detection of change in Mediterranean ecosystems: The case of Northern Morocco
- Climate Change Impact on Potential Distribution of an Endemic Species Abies marocana Trabut
- Characterizing fluvial geomorphological change using Google Earth Engine (GEE) to support sustainable flood management in the rural municipality of El Faid
- A Methodological Comparison of Three Models for Gully Erosion Susceptibility Mapping in the Rural Municipality of El Faid (Morocco)
Publication venues
- SSRN Electronic Journal × 4
- Advances in Science, Technology & Innovation/Advances in science, technology & innovation × 3
- Ecological Engineering & Environmental Technology × 1
- IGI Global eBooks × 1
- Ecological Indicators × 1
- Environmental Modelling & Software × 1
Publications per year
- 20264
- 20253
- 20243
- 20233
- 20222
- 20211
Collaborations
Partner institutions : Mohammed V University · University of California, Davis · Agricultural Research Service · Chouaib Doukkali University · Ministry of Agriculture and Fisheries
Co-authors’ countries : United States
Co-authors
- Saïd Lahssini
- Aouatif Amine
- Saïd Moukrim
- Abdellatif Khattabi
- Youness Bouziani
- Hassan Rahoui
- Imane Sebari
- Nabil Rifai
- Kamal Menzou
- Mohammed El Madihi
- Abdelkader Benabou
- Ayoub Sguigaa
Bibliographic data from OpenAlex (open database).
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