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Oct 21, 2024 · This review covers the challenges, progress, and application of these strategies in ecological monitoring, forest inventory, and tree species classification.
Oct 23, 2024 · This review covers the challenges, progress, and application of these strategies in ecological monitoring, forest inventory, and tree species classification.
1 day ago · To overcome these challenges, we propose a framework that integrates YOLOv8x, Nano Instance Segmentation (NIS), and Dueling Double Deep Q Network (DDDQN).
A hybrid method for delineating homogeneous forest segments from ...
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Nov 6, 2024 · Laser scanning data are increasingly used to segment forests into homogeneous units, called segments or stand compartments. Region growing and region ...
Missing: Robust challenging
Nov 5, 2024 · This dependence often limits their robustness when modelling large datasets, making it challenging to achieve optimal predictions with rich spatiotemporal data.
Oct 21, 2024 · A novel method that combines interdisciplinary techniques to detect and geographically delineate green areas on agricultural lands globally.
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6 days ago · The findings demonstrated high fire occurrence prediction accuracy (ANNs: 98.32%; SVM: 97.48%), defining it as the ratio of correctly predicted instances to the ...
Oct 21, 2024 · Abstract: Robotic grasping in cluttered and real-world human environments is a challenging task. It requires unique kinematic capabilities to deal with ...
Nov 8, 2024 · Vegetation segmentation plays a crucial role in accurately monitoring and analyzing vegetation cover, growth patterns, and changes over time, which in turn ...
Oct 25, 2024 · We present a Transformer-based forest disturbance detection. Our model is trained with >1.6 million Sentinel-2 time series.
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