Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing

Research article (Resources Conservation and Recycling, 2022) · cited 22× · AI/ML
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Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing

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Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing is a scholarly article[1].

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  • Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimation-of-volume-resources-for-planted-forests-using-an-advanced-lidar-and-hyperspectral-remote-sensing
MLA “Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimation-of-volume-resources-for-planted-forests-using-an-advanced-lidar-and-hyperspectral-remote-sensing.
BibTeX @misc{4ortxyz_estimation-of-volume-resources-for-planted-forests-using-an-advanced-lidar-and-hyperspectral-remote-sensing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing}}, year = {2026}, url = {https://4ort.xyz/entity/estimation-of-volume-resources-for-planted-forests-using-an-advanced-lidar-and-hyperspectral-remote-sensing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimation of volume resources for planted forests using an advanced LiDAR and hyperspectral remote sensing — https://4ort.xyz/entity/estimation-of-volume-resources-for-planted-forests-using-an-advanced-lidar-and-hyperspectral-remote-sensing (retrieved 2026-05-24)

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