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New CedarCypress3D dataset aids UAV-LiDAR tree analysis

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced CedarCypress3D, a new annotated dataset designed for advancing individual tree segmentation using UAV-LiDAR data. This dataset, collected in planted cedar and cypress forests in Japan, includes high-quality UAV-LiDAR point clouds and field survey measurements. It also features terrestrial LiDAR data with semantic labels for a subset of the trees, aiming to support the development and evaluation of machine learning models for forest inventory and monitoring. AI

IMPACT This dataset will enable better development of machine learning models for individual tree segmentation and forest monitoring.

RANK_REASON The cluster describes a new academic dataset for computer vision research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New CedarCypress3D dataset aids UAV-LiDAR tree analysis

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The cluster describes a new academic dataset for computer vision research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Katsuto Shimizu (Shikoku Research Center, Forestry and Forest Products Research Institute), Fumiaki Kitahara (Department of Forest Management, Forestry and Forest Products Research Institute), Tomohiro Nishizono (Department of Forest Management, Forestry… ·

    CedarCypress3D: an annotated UAV-LiDAR dataset of individual trees in planted cedar and cypress forests

    arXiv:2608.30149v1 Announce Type: new Abstract: Individual tree measurements derived from Light Detection and Ranging (LiDAR) mounted on Unmanned Aerial Vehicles (UAV) provide valuable information for forest inventory, ecosystem monitoring, and sustainable forest management. Rece…

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