Package: BatchPlanet
Title: Batch access and processing of PlanetScope imagery for
        spatiotemporal analysis in R
Version: 1.0.0
Date: 2025-10-08
Authors@R: c(
    person("Yiluan", "Song", email = "songyl@umich.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3660-3797", affiliation = "Michigan Institute for Data and AI in Society, University of Michigan, Ann Arbor, MI, USA; School for Environment and Sustainability and Institute for Global Change Biology, University of Michigan, Ann Arbor, MI, USA")),
    person("Alexandre R.", "Bevington", role = "aut",
           comment = c(ORCID = "0000-0002-9249-4444", affiliation = "Department of Geography, Earth and Environmental Sciences, University of Northern British Columbia, Prince George, BC, Canada")),
    person("Kenneth N.", "Reid", role = "aut",
           comment = c(ORCID = "0000-0001-8654-2430", affiliation = "Honorary Fellow - University of Stirling, Scotland, UK")),
    person("Jiali", "Zhu", role = "aut",
           comment = c(ORCID = "0009-0009-7339-557X", affiliation = "School for Environment and Sustainability and Institute for Global Change Biology, University of Michigan, Ann Arbor, MI, USA")),
    person("Yi", "Liu", role = "aut",
           comment = c(ORCID = "0000-0002-5515-8804", affiliation = "School for Environment and Sustainability and Institute for Global Change Biology, University of Michigan, Ann Arbor, MI, USA")),
    person("Kai", "Zhu", role = "aut",
           comment = c(ORCID = "0000-0003-1587-3317", affiliation = "School for Environment and Sustainability and Institute for Global Change Biology, University of Michigan, Ann Arbor, MI, USA; Michigan Institute for Data and AI in Society, University of Michigan, Ann Arbor, MI, USA")))
Description: The `BatchPlanet` R package provides a reproducible and
        scalable workflow for accessing and processing PlanetScope
        satellite imagery, enabling environmental researchers to
        efficiently perform spatiotemporal analysis of high-resolution
        remote sensing data. The package streamlines the steps required
        to work with the Planet API, including the ordering and
        downloading of imagery, retrieving and cleaning pixel-level
        time series, and computing derived metrics such as the Enhanced
        Vegetation Index (EVI) and green-up/down time. This package has
        supported peer-reviewed research in predicting reproductive
        phenology in wind-pollinated trees (Song et al., 2025).
        Generalizable beyond phenological research, this tool is
        particularly suited for environmental research that involves
        large volumes of PlanetScope imagery across multiple sites and
        long time periods.
URL: https://yiluansong.r-universe.dev/BatchPlanet,
        https://zhulabgroup.github.io/BatchPlanet/
BugReports: https://github.com/zhulabgroup/BatchPlanet/issues
License: file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: R (>= 4.1),
Imports: ggplot2, tidyr, dplyr, stringr, readr, tibble, rlang, terra,
        sf, foreach, doSNOW, parallel, dotenv, ptw, imputeTS,
        segmented, jsonlite, lubridate, httr, plotly, leaflet, shiny,
        shinyWidgets
Suggests: knitr, rmarkdown, testthat, withr, covr
VignetteBuilder: knitr
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
        libx11-dev zlib1g-dev
Repository: https://yiluansong.r-universe.dev
Date/Publication: 2026-04-29 21:19:09 UTC
RemoteUrl: https://github.com/zhulabgroup/BatchPlanet
RemoteRef: release
RemoteSha: e5e2a0336fe6576248189c3ed31360b0e13667d2
NeedsCompilation: no
Packaged: 2026-11-02 08:07:56 UTC; root
Author: Yiluan Song [aut, cre] (ORCID: <https://orcid.org/0000-0003-3660-3797>,
    affiliation: Michigan Institute for Data and AI in Society,
    University of Michigan, Ann Arbor, MI, USA; School for Environment
    and Sustainability and Institute for Global Change Biology,
    University of Michigan, Ann Arbor, MI, USA),
  Alexandre R. Bevington [aut] (ORCID:
    <https://orcid.org/0000-0002-9249-4444>, affiliation: Department of
    Geography, Earth and Environmental Sciences, University of Northern
    British Columbia, Prince George, BC, Canada),
  Kenneth N. Reid [aut] (ORCID: <https://orcid.org/0000-0001-8654-2430>,
    affiliation: Honorary Fellow - University of Stirling, Scotland,
    UK),
  Jiali Zhu [aut] (ORCID: <https://orcid.org/0009-0009-7339-557X>,
    affiliation: School for Environment and Sustainability and
    Institute for Global Change Biology, University of Michigan, Ann
    Arbor, MI, USA),
  Yi Liu [aut] (ORCID: <https://orcid.org/0000-0002-5515-8804>,
    affiliation: School for Environment and Sustainability and
    Institute for Global Change Biology, University of Michigan, Ann
    Arbor, MI, USA),
  Kai Zhu [aut] (ORCID: <https://orcid.org/0000-0003-1587-3317>,
    affiliation: School for Environment and Sustainability and
    Institute for Global Change Biology, University of Michigan, Ann
    Arbor, MI, USA; Michigan Institute for Data and AI in Society,
    University of Michigan, Ann Arbor, MI, USA)
Maintainer: Yiluan Song <songyl@umich.edu>