Object-based models map burned forests in Mediterranean transfer tests
Object-based machine-learning models mapped burned forests from Sentinel-2 imagery, retaining overall accuracies above 83% in transfer tests at selected Mediterranean ...
Object-based machine-learning models mapped burned forests from Sentinel-2 imagery, retaining overall accuracies above 83% in transfer tests at selected Mediterranean ...
Using Sentinel-2 imagery, object-based image analysis and a random forest classifier, researchers produced the first high-accuracy map of Bai Tu ...
High-resolution satellite imagery reveals that tree cover on farmland in four districts of eastern Afghanistan expanded by about 36 percent ...
A new study in Argentina's Monte desert shows that whether pixel-based or object-based satellite classification works best for detecting open ...
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© 2026 Scienmag - Science Magazine