Exploring machine learning algorithms for mapping crop types in a heterogeneous agriculture landscape using Sentinel-2 data. A c
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Comparison of Kappa coefficients for various classification results for... | Download Scientific Diagram
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Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
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Remote Sensing | Free Full-Text | Reliable Crops Classification Using Limited Number of Sentinel-2 and Sentinel-1 Images | HTML
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Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area
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Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis - ScienceDirect
Comparison of Four Classification Methods to Extract Land Use and Land Cover from Raw Satellite Images for Some Remote Arid Area
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PDF) Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms | Nadhir Al-Ansari - Academia.edu
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