Ahmed Laamrani
Orcid: 0000-0002-6603-5025
According to our database1,
Ahmed Laamrani
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Ensemble Band Selection for Quantification of Soil Total Nitrogen Levels from Hyperspectral Imagery.
Remote. Sens., July, 2024
Sensors, June, 2024
Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Stratified Machine Learning Models for Wheat Yield Estimation Using Remote Sensing Data.
Proceedings of the IGARSS 2024, 2024
2022
Multi-Sensors Remote Sensing Applications for Assessing, Monitoring, and Mapping NPK Content in Soil and Crops in African Agricultural Land.
Remote. Sens., 2022
An Extensive Field-Scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches.
Remote. Sens., 2022
2021
Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data.
Remote. Sens., 2021
Monitoring and Analyzing Yield Gap in Africa through Soil Attribute Best Management Using Remote Sensing Approaches: A Review.
Remote. Sens., 2021
Within-Field Yield Prediction in Cereal Crops Using LiDAR-Derived Topographic Attributes with Geographically Weighted Regression Models.
Remote. Sens., 2021
Use of Hyperspectral Prisma Level-1 Data and ISDA Soil Fertility Map for Soil Macronutrient Availability Quantification in a Moroccan Agricultural Land.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Assessing Soil Cover Levels during the Non-Growing Season Using Multitemporal Satellite Imagery and Spectral Unmixing Techniques.
Remote. Sens., 2020
2019
Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada.
Remote. Sens., 2019
2018
Using a Mobile Device "App" and Proximal Remote Sensing Technologies to Assess Soil Cover Fractions on Agricultural Fields.
Sensors, 2018