Package: PEcAn.data.remote 1.8.0.9000

Bailey Morrison

PEcAn.data.remote: PEcAn Functions Used for Extracting Remote Sensing Data

PEcAn module for processing remote data. Python module requirements: requests, json, re, ast, panads, sys. If any of these modules are missing, install using pip install <module name>.

Authors:Mike Dietze, Bailey Morrison

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PEcAn.data.remote.pdf |PEcAn.data.remote.html✨
PEcAn.data.remote/json (API)
NEWS

# Install 'PEcAn.data.remote' in R:
install.packages('PEcAn.data.remote', repos = c('https://pecanproject.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pecanproject/pecan/issues

On CRAN:

Conda:

bayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplants

8.74 score 216 stars 5 packages 6 scripts 15 exports 81 dependencies

Last updated 12 hours agofrom:97e61070b6. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 14 2025
R-4.5-winNOTEMar 14 2025
R-4.5-macNOTEMar 14 2025
R-4.5-linuxNOTEMar 14 2025
R-4.4-winNOTEMar 14 2025
R-4.4-macNOTEMar 14 2025
R-4.4-linuxNOTEMar 14 2025
R-4.3-winNOTEMar 14 2025
R-4.3-macNOTEMar 14 2025

Exports:call_MODISdownload.LandTrendr.AGBdownload.NLCDdownload.thredds.AGBextract_NLCDextract_phenology_MODISextract.LandTrendr.AGBGEDI_AGB_plotLandtrendr_AGB_prepMODIS_LAI_prepMODIS_LC_prepNASA_DAAC_downloadPrep_AGB_IC_from_2010_globalremote_processSMAP_SMP_prep

Dependencies:abindaskpassblobcachemclassclassIntclicodetoolscpp11curlDBIdbplyrdigestdoParalleldplyre1071fansifastmapforeachfsfurrrfuturegenericsglobalsglueherehttriteratorsjsonliteKernSmoothlatticelifecyclelistenvlubridatemagrittrMASSMatrixmemoisemimeMODISToolsncdf4opensslparallellyPEcAn.DBPEcAn.loggerPEcAn.remotePEcAn.utilspillarpkgconfigpngproxypurrrR.methodsS3R.ooR.utilsR6rappdirsRcppRcppTOMLreticulaterlangrprojroots2sfspstringistringrsysterratibbletidyrtidyselecttimechangetriebeardunitsurltoolsutf8vctrswithrwkXML

Readme and manuals

Help Manual

Help pageTopics
call_MODIScall_MODIS
construct_remotedata_filenameconstruct_remotedata_filename
download.LandTrendr.AGBdownload.LandTrendr.AGB
download.NLCDdownload.NLCD
download.thredds.AGBdownload.thredds.AGB
extract.NLCDextract_NLCD
Get MODIS phenology data by date and locationextract_phenology_MODIS
extract.LandTrendr.AGBextract.LandTrendr.AGB
Download GEDI AGB data for the GEDI AGB extract function.GEDI_AGB_download
Extract L4A GEDI above ground biomass data for the GEDI AGB prep function.GEDI_AGB_extract
Plot GEDI AGB observations around the target site.GEDI_AGB_plot
Prepare L4A GEDI above ground biomass (AGB) data for the state data assimilation (SDA) workflow. This function is built upon the modified `l4_download` function within the `GEDI4R` package in need for a better parallel computation.GEDI_AGB_prep
Function for building netrc file with access credentialsgetnetrc
grid2netcdfgrid2netcdf
DOWNLOAD GEDI level 4A data from DAACL.ORNLl4_download
Prepare Landtrendr AGB data for the SDA workflow.Landtrendr_AGB_prep
Prepare MODIS LAI data for the SDA workflow.MODIS_LAI_prep
Prepare MODIS land cover data for the SDA workflow.MODIS_LC_prep
Create URL that can be used to request data from NASA DAAC server.NASA_CMR_finder
Parallel download data from the NASA ORNL DAAC server given period, spatial bounding box, and data DOI.NASA_DAAC_download
Create URL that can be used to request data from NASA DAAC server.NASA_DAAC_URL
Extract ensemble above ground biomass density from pre-existing GeoTIFF files for the SDA workflow. Note that, this function only works for those products who have both mean and uncertainty GeoTIFF images prepared. And it works under the 2010 Global AGB products: DOI: https://doi.org/10.3334/ORNLDAAC/1763.Prep_AGB_IC_from_2010_global
read_remote_registryread_remote_registry
regridregrid
remote_processremote_process
remotedata_db_checkremotedata_db_check
Insert the output data returned from rp_control into BETYdbremotedata_db_insert
set_stageset_stage
Prepare SMAP Soil Moisture (SMP) data for the SDA workflow.SMAP_SMP_prep