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While some core features may still work, automated \ndownloading and processing are affected. Users working with MODIS data are \nencouraged to explore alternative packages listed below.\n\n## 🔍 Related and Similar Packages\n\nWhile the `MODIS` package provides an integrated workflow for discovering, \ndownloading, mosaicking, and processing MODIS satellite data, users may also \nfind value in the following actively maintained alternatives—especially for \nworkflows requiring compatibility with newer versions of R:\n\n### [`MODISTools`](https://github.com/sntck/MODISTools)\n- **Focus:** Efficient access to MODIS subsets via the ORNL DAAC web service \n  (MODIS Subsets API).\n- **Highlights:** Streamlined for point-based time series extraction (e.g., \n  vegetation indices at specific locations). Ideal for ecological or \n  site-based studies.\n- **Limitations:** Does not support full-tile downloading or mosaicking of \n  spatial rasters.\n\n### [`MODIStsp`](https://github.com/ropensci/MODIStsp)\n- **Focus:** GUI and command-line tool for pre-processing MODIS time series.\n- **Highlights:** Provides a user-friendly interface (also scriptable) to \n  automate downloading, reprojecting, mosaicking, and time series creation.\n- **Best for:** Batch processing of MODIS raster products across time and \n  space with minimal coding.\n\n### [`rsat`](https://github.com/ropensci/rsat)\n- **Focus:** General framework for working with remote sensing time series \n  from multiple platforms.\n- **Highlights:** MODIS is supported alongside Sentinel, Landsat, and others. \n  Designed for harmonized, cross-sensor workflows.\n- **Best for:** Projects integrating MODIS with other remote sensing data \n  sources in a unified workflow.\n\n### [`rspatial.org` MODIS Guide](https://rspatial.org/modis/2-download.html)\n- **Focus:** Educational resource demonstrating MODIS data download and \n  pre-processing using base R and `terra`.\n- **Highlights:** Teaches how to manually script MODIS data access and \n  preparation. Good for learning fundamentals and customizing your own \n  pipeline.\n\n---\n\nIf you continue to rely on `MODIS` for legacy workflows or specific utilities, \nwe recommend documenting your environment carefully and checking for ongoing \nsupport issues (e.g., via GitHub). For new projects, consider evaluating the \npackages above to ensure long-term maintainability.\n\n\n====\n\n### Package downloads\n\nThis month      | In total\n--------------- | -----------\n![month](http://cranlogs.r-pkg.org/badges/MODIS) | ![total](http://cranlogs.r-pkg.org/badges/grand-total/MODIS)\n\n\n====\n\n### Installation\n\n**MODIS** can be installed via \n\n\n```r\nremotes::install_github(\"fdetsch/MODIS\")\n```\n\n\n====\n\n### Additional resources\n\n* https://stevemosher.wordpress.com/modis-tutorial/\n* https://cornelllabofornithology.github.io/ebird-best-practices/covariates.html#covariates-dl\n\n\n====\n\n### Contact\n\nPlease file bug reports and feature requests at https://github.com/fdetsch/MODIS/issues.\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/64196","html_url":"https://ost.ecosyste.ms/projects/64196"}