fieldrs

R package to support Remote Sensing oriented field work

https://github.com/rremelgado/fieldrs

Science Score: 10.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

berlin-process cawa central-asia international-development land-cover-mapping remote-sensing water-management wuerzburg
Last synced: 10 months ago · JSON representation

Repository

R package to support Remote Sensing oriented field work

Basic Info
  • Host: GitHub
  • Owner: RRemelgado
  • Language: R
  • Default Branch: master
  • Size: 5.88 MB
Statistics
  • Stars: 13
  • Watchers: 3
  • Forks: 3
  • Open Issues: 1
  • Releases: 0
Topics
berlin-process cawa central-asia international-development land-cover-mapping remote-sensing water-management wuerzburg
Created over 8 years ago · Last pushed about 6 years ago
Metadata Files
Readme

README.md

fieldRS

CRAN version CRAN downloads CRAN downloads

fieldRS is an R package to support Remote Sensing oriented field work. It was developed at the Department of Remote Sensing of the University of Würzburg, Germany, within the Central Asia Waters (CAWa) project funded by the German Federal Foreign Office. It is part of the German Water Initiative for Central Asia (the so-called Berlin process), launched by the German Federal Foreign Office launched on the 1st of April of 2008 to support peaceful, sustainable and mutually beneficial management of transboundary water resources in Central Asia.

fieldRS was designed to ease the collection and management of ground truth data. It provides tools that help select sampling sites, correct and pre-process training data and preview classification results in order to identify potentially incorrect samples. The package provides a tutorial which contains a detailed methodology based on the package. It guides potential users in the full process of designing a remote sensing field campaign from the selection of potential study sites to the development predictive models. At the moment, fieldRS is oriented towards land cover mapping but will be


What else are we doing?

The Department of Remote Sensing of the University of Würzburg has developed other R packages that might interest you:

Click here for news on our department.


Supported by

                                  


Owner

  • Name: Ruben Remelgado
  • Login: RRemelgado
  • Kind: user
  • Location: Leipzig, Germany
  • Company: Center for Integrative Biodiversity Research (iDiv)

Geographer, Remote sensor, scientist, expert googler. Hopping my work helps the world someday. In the meantime, I hope it helps you.

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 122
  • Total Committers: 4
  • Avg Commits per committer: 30.5
  • Development Distribution Score (DDS): 0.254
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Ruben Soares Lapa Remelgado r****h@u****u 91
Ruben Remelgado r****o@u****e 19
rr70wedu r****o@i****e 8
Ruben Remelgado r****n@g****m 4
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 1
  • 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: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • rsbivand (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: fieldRS

Remote Sensing Field Work Tools

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Forks count: 14.9%
Stargazers count: 15.6%
Average: 23.9%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Maintainers (1)
Last synced: over 2 years ago

Dependencies

DESCRIPTION cran
  • caret * imports
  • concaveman * imports
  • geosphere * imports
  • ggplot2 * imports
  • grDevices * imports
  • raster * imports
  • rgeos * imports
  • sp * imports
  • stringdist * imports
  • vegan * imports
  • RStoolbox * suggests
  • foreign * suggests
  • imager * suggests
  • kableExtra * suggests
  • knitr * suggests
  • maptools * suggests
  • randomForest * suggests
  • rgdal * suggests
  • rmarkdown * suggests