lidar-forestry

Personal space to organize information on the topic of lidar (mainly airborne) for forestry

https://github.com/wiesehahn/lidar-forestry

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Personal space to organize information on the topic of lidar (mainly airborne) for forestry

Basic Info
Statistics
  • Stars: 5
  • Watchers: 4
  • Forks: 0
  • Open Issues: 251
  • Releases: 0
Created almost 4 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

Lidar for Forestry

This repository is meant as a personal space to gather and organize information about research and applications of lidar data for forestry. Scientific literature as well as e.g. data resources and software related to lidar data is collected as issues and organized via labels. In this way it is possible to search for e.g. literature which uses ALS data for biomass estimation ( ).

This information is further summarized as a website (updated irregularly from time to time).

Owner

  • Name: Jens Wiesehahn
  • Login: wiesehahn
  • Kind: user
  • Location: germany

Forester, Scientist, Conservationist, Technologist, Discoverer, ...

Citation (CITATION.cff)

cff-version: 1.2.0
title: >-
  Lidar For Forestry: Background, Availability and Applications of Laser Scanning Data
message: >-
  Rendered presentation available at https://wiesehahn.github.io/lidar-forestry/
type: dataset
authors:
  - given-names: Jens
    family-names: Wiesehahn
    email: wiesehahn.jens@gmail.com
    affiliation: Northwest German Forest Research Institute (NW-FVA)
    orcid: 'https://orcid.org/0000-0002-4482-3012'
#identifiers:
#  - type: doi
#    value: xxx
repository-code: >-
  https://github.com/wiesehahn/lidar-forestry
url: >-
  https://wiesehahn.github.io/lidar-forestry/presentation
abstract: >-
  This website aggregates and synthesizes information about the use of laser scanning data in forestry. It provides general information about lidar data and it's availability. Further we collect and summarise scientific literature to provide a comprehensive overview of the current state of knowledge on lidar's potential use-cases in forestry. The focus is mainly on Airborne Laser Scanning data, with additional consideration of other platforms.
keywords:
  - Airborne Laser Scanning
  - Remote Sensing
  - Forestry
  - Data Availability
  - Review
license: CC-BY-SA-4.0
date-released: 2022-04-14

GitHub Events

Total
  • Issues event: 70
  • Watch event: 1
  • Issue comment event: 5
  • Push event: 5
Last Year
  • Issues event: 70
  • Watch event: 1
  • Issue comment event: 5
  • Push event: 5

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 30
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 30
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • wiesehahn (176)
Pull Request Authors
  • wiesehahn (11)
Top Labels
Issue Labels
literature (37) ALS (35) existing software (12) TLS (7) forest structure (5) data (4) existing product (3) ULS (3) segmentation (2) methodological effects (2) other (2) biodiversity (1) vitality (1) tree species (1) data availability (1) MLS (1) other ressource (1) jobs (1) biomass (1) DAP (1) growth (1)
Pull Request Labels