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MODIS

Download and processing framework for MODIS imagery. The package provides automated access to the global online data archives LP DAAC, LAADS and NSIDC as well as processing capabilities such as file conversion, mosaicking, subsetting and time series.

https://github.com/fdetsch/MODIS

Science Score: 36.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    2 of 11 committers (18.2%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (16.3%) to scientific vocabulary

Keywords

download modis process
Last synced: 6 months ago · JSON representation

Repository

Download and processing framework for MODIS imagery. The package provides automated access to the global online data archives LP DAAC, LAADS and NSIDC as well as processing capabilities such as file conversion, mosaicking, subsetting and time series.

Basic Info
  • Host: GitHub
  • Owner: fdetsch
  • License: other
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 2.64 MB
Statistics
  • Stars: 58
  • Watchers: 12
  • Forks: 25
  • Open Issues: 34
  • Releases: 0
Topics
download modis process
Created over 10 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License

README.md

MODIS: Acquisition and Processing of MODIS Products

⚠️ Note: The MODIS package is currently not fully functional due to recent changes in authentication mechanisms at LP DAAC and LAADS (Earthdata Login and token-based access). While some core features may still work, automated downloading and processing are affected. Users working with MODIS data are encouraged to explore alternative packages listed below.

🔍 Related and Similar Packages

While the MODIS package provides an integrated workflow for discovering, downloading, mosaicking, and processing MODIS satellite data, users may also find value in the following actively maintained alternatives—especially for workflows requiring compatibility with newer versions of R:

MODISTools

  • Focus: Efficient access to MODIS subsets via the ORNL DAAC web service (MODIS Subsets API).
  • Highlights: Streamlined for point-based time series extraction (e.g., vegetation indices at specific locations). Ideal for ecological or site-based studies.
  • Limitations: Does not support full-tile downloading or mosaicking of spatial rasters.

MODIStsp

  • Focus: GUI and command-line tool for pre-processing MODIS time series.
  • Highlights: Provides a user-friendly interface (also scriptable) to automate downloading, reprojecting, mosaicking, and time series creation.
  • Best for: Batch processing of MODIS raster products across time and space with minimal coding.

rsat

  • Focus: General framework for working with remote sensing time series from multiple platforms.
  • Highlights: MODIS is supported alongside Sentinel, Landsat, and others. Designed for harmonized, cross-sensor workflows.
  • Best for: Projects integrating MODIS with other remote sensing data sources in a unified workflow.

rspatial.org MODIS Guide

  • Focus: Educational resource demonstrating MODIS data download and pre-processing using base R and terra.
  • Highlights: Teaches how to manually script MODIS data access and preparation. Good for learning fundamentals and customizing your own pipeline.

If you continue to rely on MODIS for legacy workflows or specific utilities, we recommend documenting your environment carefully and checking for ongoing support issues (e.g., via GitHub). For new projects, consider evaluating the packages above to ensure long-term maintainability.

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Package downloads

This month | In total --------------- | ----------- month | total

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Installation

MODIS can be installed via

r remotes::install_github("fdetsch/MODIS")

====

Additional resources

  • https://stevemosher.wordpress.com/modis-tutorial/
  • https://cornelllabofornithology.github.io/ebird-best-practices/covariates.html#covariates-dl

====

Contact

Please file bug reports and feature requests at https://github.com/fdetsch/MODIS/issues.

Owner

  • Name: Florian Detsch
  • Login: fdetsch
  • Kind: user
  • Location: Frankfurt am Main, Germany
  • Company: engineering people

Senior Data Scientist

GitHub Events

Total
  • Issues event: 6
  • Delete event: 1
  • Issue comment event: 9
  • Push event: 13
  • Pull request event: 4
  • Create event: 5
Last Year
  • Issues event: 6
  • Delete event: 1
  • Issue comment event: 9
  • Push event: 13
  • Pull request event: 4
  • Create event: 5

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 619
  • Total Committers: 11
  • Avg Commits per committer: 56.273
  • Development Distribution Score (DDS): 0.334
Past Year
  • Commits: 16
  • Committers: 1
  • Avg Commits per committer: 16.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
fdetsch f****h@w****e 412
fdetsch f****h@s****e 144
Matteo m****o@m****m 48
dogbert d****t@p****5 5
MagicForrest s****n@g****m 2
florian.detsch f****h@m****m 2
Tim t****s@l****n 2
Lampros Mouselimis m****s@g****m 1
Florian Detsch f****h@D****t 1
Florian Detsch d****h@A****E 1
AGericke g****e@i****n 1
Committer Domains (Top 20 + Academic)
ad.uni-marburg.de: 1 datascience1.o4wduowriyeufpnqh51wbuoqeg.ax.internal.cloudapp.net: 1 localhost.localdomain: 1 metergroup.com: 1 mattiuzzi.com: 1 staff.uni-marburg.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 122
  • Total pull requests: 21
  • Average time to close issues: 4 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 81
  • Total pull request authors: 8
  • Average comments per issue: 3.92
  • Average comments per pull request: 0.67
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 2
  • Average time to close issues: 5 months
  • Average time to close pull requests: about 1 month
  • Issue authors: 4
  • Pull request authors: 1
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • fdetsch (17)
  • bcosentino (3)
  • mstrimas (3)
  • rokoeh (3)
  • rsbivand (3)
  • Gilbert2015 (3)
  • safalabolo (3)
  • MagicForrest (3)
  • itati01 (2)
  • lsaravia (2)
  • Fay07 (2)
  • Cattrees (2)
  • cedlfc44 (2)
  • dkcorvus86 (2)
  • ndmsc (2)
Pull Request Authors
  • fdetsch (15)
  • grahamjeffries (2)
  • MagicForrest (2)
  • mlampros (1)
  • bart1 (1)
  • itati01 (1)
  • hubert-thieriot (1)
  • jdeines (1)
Top Labels
Issue Labels
bug (11) enhancement (6) critical (4) invalid (1)
Pull Request Labels
critical (5) bug (4) enhancement (3) documentation (2)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 15
  • Total maintainers: 1
cran.r-project.org: MODIS

Acquisition and Processing of MODIS Products

  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 1
Rankings
Forks count: 3.2%
Stargazers count: 6.8%
Average: 16.3%
Dependent repos count: 25.5%
Dependent packages count: 29.8%
Maintainers (1)
fdetsch@web.de
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • mapdata * depends
  • raster * depends
  • bitops * imports
  • curl * imports
  • devtools * imports
  • grDevices * imports
  • graphics * imports
  • mapedit * imports
  • maps * imports
  • maptools * imports
  • methods * imports
  • parallel * imports
  • ptw * imports
  • rgdal * imports
  • rgeos * imports
  • sf * imports
  • sp * imports
  • stats * imports
  • utils * imports
  • tinytest * suggests