Figshare
open access
CC BY 4.0
Dataset of Individual Tree Extraction Results from Large-Scale 3D Point Clouds in the Izu Peninsula Using High-Performance Computing
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Standardized terrestrial laser scanning dataset of forests: 3D point clouds and tree-level attributes from 121 plots across five European regions.#368494
- Multimodal spatial omics: From data acquisition to computational integration.#371454
- ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation#635859
- ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation#633510
- A Workflow for Automating Geospatial and Data Visualizations for Post-Earthquake Building Damage Data#314569
Record · ID 311441
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive