Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation

Research article (International Journal of Remote Sensing, 2015) · cited 84× · AI/ML
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Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation

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Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-machine-learning-algorithms-and-image-and-lidar-derived-variables-for-geobia-classification-of-mining-and-mine
MLA “Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-machine-learning-algorithms-and-image-and-lidar-derived-variables-for-geobia-classification-of-mining-and-mine.
BibTeX @misc{4ortxyz_assessing-machine-learning-algorithms-and-image-and-lidar-derived-variables-for-geobia-classification-of-mining-and-mine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-machine-learning-algorithms-and-image-and-lidar-derived-variables-for-geobia-classification-of-mining-and-mine}, note = {Accessed: 2026-05-24}}
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