https://github.com/fdetsch/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
download modis process
Last synced: 6 months ago
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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.
- Host: GitHub
- URL: https://github.com/fdetsch/MODIS
- Owner: fdetsch
- License: other
- Created: 2015-09-29T14:32:57.000Z (over 10 years ago)
- Default Branch: main
- Last Pushed: 2025-08-25T12:29:52.000Z (10 months ago)
- Last Synced: 2025-11-27T19:57:38.566Z (7 months ago)
- Topics: download, modis, process
- Language: R
- Homepage:
- Size: 2.64 MB
- Stars: 58
- Watchers: 12
- Forks: 24
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS
- License: LICENSE
Awesome Lists containing this project
- open-sustainable-technology - 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. (Sustainable Development / Environmental Satellites)
README
# **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`](https://github.com/sntck/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`](https://github.com/ropensci/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`](https://github.com/ropensci/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](https://rspatial.org/modis/2-download.html)
- **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.
====
### Package downloads
This month | In 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.