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MODIS

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

Category: Sustainable Development
Sub Category: Environmental Satellites

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download modis process

Last synced: about 6 hours ago
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Repository metadata

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.

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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Installation

MODIS can be installed via

remotes::install_github("fdetsch/MODIS")

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Additional resources

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Contact

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

Owner metadata

GitHub Events

Total
Last Year

Committers metadata

Last synced: 2 days ago

Total Commits: 619
Total Committers: 11
Avg Commits per committer: 56.273
Development Distribution Score (DDS): 0.334

Commits in past year: 16
Committers in past year: 1
Avg Commits per committer in past year: 16.0
Development Distribution Score (DDS) in past year: 0.0

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 m****t@s****e 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:

Issue and Pull Request metadata

Last synced: 5 months ago

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 request: 14
Bot issues: 0
Bot pull requests: 0

Past year issues: 4
Past year pull requests: 2
Past year average time to close issues: 5 months
Past year average time to close pull requests: about 1 month
Past year issue authors: 4
Past year pull request authors: 1
Past year average comments per issue: 2.0
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/fdetsch/MODIS

Top 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)

Top Pull Request Authors

  • fdetsch (15)
  • grahamjeffries (2)
  • MagicForrest (2)
  • mlampros (1)
  • bart1 (1)
  • itati01 (1)
  • hubert-thieriot (1)
  • jdeines (1)

Top Issue Labels

  • bug (11)
  • enhancement (6)
  • critical (4)
  • invalid (1)

Top Pull Request Labels

  • critical (5)
  • bug (4)
  • enhancement (3)
  • documentation (2)

Package metadata

cran.r-project.org: MODIS

Acquisition and Processing of MODIS Products

  • Homepage: https://github.com/fdetsch/MODIS
  • Status: removed
  • Documentation: http://cran.r-project.org/web/packages/MODIS/MODIS.pdf
  • Licenses: MIT + file LICENSE
  • Latest release: 1.2.11 (published about 3 years ago)
  • Last Synced: 2026-01-16T06:57:04.425Z (1 day ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Rankings:
    • Forks count: 3.156%
    • Stargazers count: 6.838%
    • Average: 16.31%
    • Dependent repos count: 25.451%
    • Dependent packages count: 29.797%
  • Maintainers (1)

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

Score: 7.623641946511572