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"page": "ATL03_h5_clipBox",
"title": "Clip ICESat-2 ATL03 HDF5 Data Using a Bounding Extent",
"topics": [
"ATL03_h5_clipBox"
]
},
{
"page": "ATL03_h5_clipGeometry",
"title": "Clip ICESat-2 ATL03 HDF5 Data Using Geometry-Based Boundaries",
"topics": [
"ATL03_h5_clipGeometry"
]
},
{
"page": "ATL03_photons_attributes_dt",
"title": "ATL03 photon attributes",
"topics": [
"ATL03_photons_attributes_dt"
]
},
{
"page": "ATL03_photons_attributes_dt_clipBox",
"title": "Clip ATL03 photons by bounding extent",
"topics": [
"ATL03_photons_attributes_dt_clipBox"
]
},
{
"page": "ATL03_photons_attributes_dt_clipGeometry",
"title": "Clip ATL03 photons by Coordinates",
"topics": [
"ATL03_photons_attributes_dt_clipGeometry"
]
},
{
"page": "ATL03_photons_attributes_dt_LAS",
"title": "Export ICESat-2 ATL03 Photon Data to LAS Files",
"topics": [
"ATL03_photons_attributes_dt_LAS"
]
},
{
"page": "ATL03_read",
"title": "Read ICESat-2 ATL03 data",
"topics": [
"ATL03_read"
]
},
{
"page": "ATL03_read-character-method",
"title": "Read ICESat-2 ATL03 data from a local HDF5 file",
"topics": [
"ATL03_read,character-method"
]
},
{
"page": "ATL03_read-icesat2.granule_cloud-method",
"title": "Read ICESat-2 ATL03 data from a single cloud granule",
"topics": [
"ATL03_read,icesat2.granule_cloud-method"
]
},
{
"page": "ATL03_seg_metadata_dt",
"title": "ATL03 geolocation segment metadata",
"topics": [
"ATL03_seg_metadata_dt"
]
},
{
"page": "ATL08_h5_clipBox",
"title": "Clip ICESat-2 ATL08 HDF5 Data Using a Bounding Extent",
"topics": [
"ATL08_h5_clipBox"
]
},
{
"page": "ATL08_h5_clipGeometry",
"title": "Clips ICESat-2 ATL08 data",
"topics": [
"ATL08_h5_clipGeometry"
]
},
{
"page": "ATL08_photons_attributes_dt",
"title": "ATL08 computed photons attributes",
"topics": [
"ATL08_photons_attributes_dt"
]
},
{
"page": "ATL08_photons_attributes_dt_LAS",
"title": "Export ICESat-2 ATL08 photon attributes to LAS files",
"topics": [
"ATL08_photons_attributes_dt_LAS"
]
},
{
"page": "ATL08_read",
"title": "Read ICESat-2 ATL08 data",
"topics": [
"ATL08_read"
]
},
{
"page": "ATL08_read-character-method",
"title": "Read ICESat-2 ATL08 data from a local HDF5 file",
"topics": [
"ATL08_read,character-method"
]
},
{
"page": "ATL08_read-icesat2.granule_cloud-method",
"title": "Read ICESat-2 ATL08 data from a single granule in the cloud",
"topics": [
"ATL08_read,icesat2.granule_cloud-method"
]
},
{
"page": "ATL08_read-icesat2.granules_cloud-method",
"title": "Read ICESat-2 ATL08 data from multiple granules",
"topics": [
"ATL08_read,icesat2.granules_cloud-method"
]
},
{
"page": "ATL08_seg_attributes_dt",
"title": "ATL08 Terrain and Canopy Attributes",
"topics": [
"ATL08_seg_attributes_dt"
]
},
{
"page": "ATL08_seg_attributes_dt_clipBox",
"title": "Clip ATL08 terrain and canopy attributes by bounding extent",
"topics": [
"ATL08_seg_attributes_dt_clipBox"
]
},
{
"page": "ATL08_seg_attributes_dt_clipGeometry",
"title": "Clip ATL08 Terrain and Canopy Attributes by Geometry",
"topics": [
"ATL08_seg_attributes_dt_clipGeometry"
]
},
{
"page": "ATL08_seg_attributes_dt_gridStat",
"title": "Statistics of ATL08 terrain and canopy attributes at grid level",
"topics": [
"ATL08_seg_attributes_dt_gridStat"
]
},
{
"page": "ATL08_seg_attributes_dt_LAS",
"title": "Export ICESat-2 ATL08 Segment Data to LAS Files",
"topics": [
"ATL08_seg_attributes_dt_LAS"
]
},
{
"page": "ATL08_seg_attributes_dt_polyStat",
"title": "Statistics of ATL08 Terrain and Canopy Attributes by Geometry",
"topics": [
"ATL08_seg_attributes_dt_polyStat"
]
},
{
"page": "ATL08_seg_attributes_h5_gridStat",
"title": "Rasterize ATL08 canopy attributes from h5 files at large scale",
"topics": [
"ATL08_seg_attributes_h5_gridStat"
]
},
{
"page": "ATLAS_dataDownload",
"title": "Download ICESat-2 ATL03/ATL08 data",
"topics": [
"ATLAS_dataDownload"
]
},
{
"page": "ATLAS_dataFinder",
"title": "ICESat-2 ATL03 and ATL08 data finder for either direct download or cloud computing",
"topics": [
"ATLAS_dataFinder"
]
},
{
"page": "build_ee_forest",
"title": "Convert an R randomForest model to a Google Earth Engine randomForest classifier",
"topics": [
"build_ee_forest"
]
},
{
"page": "clip",
"title": "Clip ICESat-2 ATL03/ATL08 data ( h5, attributes, or ATL03-ATL08 join) by box or geometry",
"topics": [
"clip"
]
},
{
"page": "clip-icesat2.atl03_dt-ANY-method",
"title": "Clip ATL03 photons by Coordinates",
"topics": [
"clip,icesat2.atl03_dt,ANY-method"
]
},
{
"page": "clip-icesat2.atl03_dt-numeric-method",
"title": "Clip ATL03 photons by bounding extent",
"topics": [
"clip,icesat2.atl03_dt,numeric-method"
]
},
{
"page": "clip-icesat2.atl03_dt-SpatExtent-method",
"title": "Clip ATL03 photons by bounding extent",
"topics": [
"clip,icesat2.atl03_dt,SpatExtent-method"
]
},
{
"page": "clip-icesat2.atl03_h5-ANY-method",
"title": "Clip ICESat-2 ATL03 HDF5 Data Using Geometry-Based Boundaries",
"topics": [
"clip,icesat2.atl03_h5,ANY-method"
]
},
{
"page": "clip-icesat2.atl03_h5-numeric-method",
"title": "Clip ICESat-2 ATL03 HDF5 Data Using a Bounding Extent",
"topics": [
"clip,icesat2.atl03_h5,numeric-method"
]
},
{
"page": "clip-icesat2.atl03_h5-SpatExtent-method",
"title": "Clip ICESat-2 ATL03 HDF5 Data Using a Bounding Extent",
"topics": [
"clip,icesat2.atl03_h5,SpatExtent-method"
]
},
{
"page": "clip-icesat2.atl03atl08_dt-ANY-method",
"title": "Clip Joined ATL03 and ATL08 by Geometry",
"topics": [
"clip,icesat2.atl03atl08_dt,ANY-method"
]
},
{
"page": "clip-icesat2.atl03atl08_dt-numeric-method",
"title": "Clip joined ATL03 and ATL08 photons by bounding extent",
"topics": [
"clip,icesat2.atl03atl08_dt,numeric-method"
]
},
{
"page": "clip-icesat2.atl03atl08_dt-SpatExtent-method",
"title": "Clip joined ATL03 and ATL08 photons by bounding extent",
"topics": [
"clip,icesat2.atl03atl08_dt,SpatExtent-method"
]
},
{
"page": "clip-icesat2.atl08_dt-ANY-method",
"title": "Clip ATL08 Terrain and Canopy Attributes by Geometry",
"topics": [
"clip,icesat2.atl08_dt,ANY-method"
]
},
{
"page": "clip-icesat2.atl08_dt-numeric-method",
"title": "Clip ATL08 terrain and canopy attributes by bounding extent",
"topics": [
"clip,icesat2.atl08_dt,numeric-method"
]
},
{
"page": "clip-icesat2.atl08_dt-SpatExtent-method",
"title": "Clip ATL08 terrain and canopy attributes by bounding extent",
"topics": [
"clip,icesat2.atl08_dt,SpatExtent-method"
]
},
{
"page": "clip-icesat2.atl08_h5-ANY-method",
"title": "Clips ICESat-2 ATL08 data",
"topics": [
"clip,icesat2.atl08_h5,ANY-method"
]
},
{
"page": "clip-icesat2.atl08_h5-numeric-method",
"title": "Clip ICESat-2 ATL08 HDF5 Data Using a Bounding Extent",
"topics": [
"clip,icesat2.atl08_h5,numeric-method"
]
},
{
"page": "clip-icesat2.atl08_h5-SpatExtent-method",
"title": "Clip ICESat-2 ATL08 HDF5 Data Using a Bounding Extent",
"topics": [
"clip,icesat2.atl08_h5,SpatExtent-method"
]
},
{
"page": "close",
"title": "Safely closes the ICESat2.h5 base classes",
"topics": [
"close,icesat2.h5-method",
"close,icesat2.predict_h5-method"
]
},
{
"page": "close.GDALDataset",
"title": "Method to close GDALDataset",
"topics": [
"close.GDALDataset"
]
},
{
"page": "close.icesat2.predict_h5",
"title": "Closes the HDF5 file pointer to release resources",
"topics": [
"close.icesat2.predict_h5"
]
},
{
"page": "createDataset",
"title": "Creates a new GDALDataset",
"topics": [
"createDataset"
]
},
{
"page": "dt_to_las",
"title": "Convert ICESat-2 ATL03 and ATL08 data.table objects to LAS files",
"topics": [
"dt_to_las"
]
},
{
"page": "earthdata_login",
"title": "Get or Create a '.netrc' File for NASA Earthdata Login",
"topics": [
"earthdata_login"
]
},
{
"page": "ee",
"title": "The pointer to the 'earth-engine-api' python reticulate module",
"topics": [
"ee"
]
},
{
"page": "ee_build_AlphaEarth_embedding_terrain_stack",
"title": "Stack Alpha Earth embedding and terrain ancillary layers",
"topics": [
"ee_build_AlphaEarth_embedding_terrain_stack"
]
},
{
"page": "ee_build_hls_s1c_terrain_stack",
"title": "Build HLS, Sentinel-1C and terrain ancillary stack in Earth Engine",
"topics": [
"ee_build_hls_s1c_terrain_stack"
]
},
{
"page": "ee_check_task_status",
"title": "One-shot task status check",
"topics": [
"ee_check_task_status"
]
},
{
"page": "ee_initialize",
"title": "Initializes the Google Earth Engine API Initialize Earth Engine for this R session",
"topics": [
"ee_initialize"
]
},
{
"page": "ee_number",
"title": "Creates an Earth Engine server number",
"topics": [
"ee_number"
]
},
{
"page": "ee_rect_to_sf",
"title": "Convert an EE Rectangle to an sf polygon (EPSG:4326)",
"topics": [
"ee_rect_to_sf"
]
},
{
"page": "ext_to_ee",
"title": "Convert a terra extent or spatial object to an Earth Engine Rectangle",
"topics": [
"ext_to_ee"
]
},
{
"page": "extract",
"title": "Given a geometry with point samples and images from Earth Engine retrieve the point geometry with values for the images",
"topics": [
"extract"
]
},
{
"page": "fit_metrics",
"title": "Model fit metrics",
"topics": [
"fit_metrics"
]
},
{
"page": "fit_model",
"title": "Fit a Random Forest with optional resampling, tuning, and progress bars",
"topics": [
"fit_model"
]
},
{
"page": "formulaCalculate",
"title": "Calculate raster values based on a formula",
"topics": [
"formulaCalculate"
]
},
{
"page": "GDALDataset",
"title": "R6 Class GDALDataset wrapping",
"topics": [
"GDALDataset"
]
},
{
"page": "GDALDataType",
"title": "List of datatypes supported by the GDALDataset R6 class",
"topics": [
"GDALDataType"
]
},
{
"page": "GDALOpen",
"title": "Open GDAL raster",
"topics": [
"GDALOpen"
]
},
{
"page": "GDALRasterBand",
"title": "R6 Class GDALRasterBand wrapping",
"topics": [
"GDALRasterBand"
]
},
{
"page": "geomSampling",
"title": "Get observations sampled within polygon features",
"topics": [
"geomSampling"
]
},
{
"page": "get_catalog_id",
"title": "Retrieve the Google Earth Engine image catalog id",
"topics": [
"get_catalog_id"
]
},
{
"page": "getTileUrl",
"title": "Retrieve Google Earth Engine's tile url for an Image or ImageCollection",
"topics": [
"getTileUrl"
]
},
{
"page": "glcmTexture",
"title": "Maps to 'ee.Image.glcmTexture'",
"topics": [
"glcmTexture"
]
},
{
"page": "gridSampling",
"title": "Get samples stratified by grid cells of specified size",
"topics": [
"gridSampling"
]
},
{
"page": "icesat2.atl03_atl08_seg_dt-class",
"title": "Class that represent custom segments created from ATL03 and ATL08 joined data",
"topics": [
"icesat2.atl03_atl08_seg_dt-class"
]
},
{
"page": "icesat2.atl03_dt-class",
"title": "Class for ATL03 attributes",
"topics": [
"icesat2.atl03_dt-class"
]
},
{
"page": "icesat2.atl03_h5-class",
"title": "Class for ICESat-2 ATL03",
"topics": [
"icesat2.atl03_h5-class"
]
},
{
"page": "icesat2.atl03_seg_dt-class",
"title": "Class for ATL03 segment attributes",
"topics": [
"icesat2.atl03_seg_dt-class"
]
},
{
"page": "icesat2.atl03atl08_dt-class",
"title": "Class for joined ATL03 and ATL08 attributes",
"topics": [
"icesat2.atl03atl08_dt-class"
]
},
{
"page": "icesat2.atl08_dt-class",
"title": "Class for ATL08 attributes",
"topics": [
"icesat2.atl08_dt-class"
]
},
{
"page": "icesat2.atl08_h5-class",
"title": "Class for ICESat-2 ATL08",
"topics": [
"icesat2.atl08_h5-class"
]
},
{
"page": "ICESat2.h5_cloud",
"title": "The class representing the h5 file opened from the cloud for cloud computing",
"topics": [
"ICESat2.h5_cloud"
]
},
{
"page": "ICESat2.h5_local",
"title": "The class representing the h5 file opened from local files",
"topics": [
"ICESat2.h5_local"
]
},
{
"page": "icesat2.h5-class",
"title": "Base class for all ICESat2VegR package's H5 files for generic functions that can be run on any H5",
"topics": [
"icesat2.h5-class"
]
},
{
"page": "ICESat2.h5ds_cloud",
"title": "Class representing dataset opened from the cloud using h5py",
"topics": [
"ICESat2.h5ds_cloud"
]
},
{
"page": "ICESat2.h5ds_local",
"title": "Class representing dataset opened from locally using hdf5r",
"topics": [
"ICESat2.h5ds_local"
]
},
{
"page": "ICESat2VegR_configure",
"title": "Configure Python environment for ICESat2VegR cloud features",
"topics": [
"ICESat2VegR_configure"
]
},
{
"page": "length-ee.imagecollection.ImageCollection-method",
"title": "Returns the number of images in an ImageCollection",
"topics": [
"length,ee.imagecollection.ImageCollection-method"
]
},
{
"page": "map_create",
"title": "Create a prediction map in Google Earth Engine using a fitted Random Forest model",
"topics": [
"map_create"
]
},
{
"page": "map_download",
"title": "map_download: create task -> start -> (monitor) -> download/return id",
"topics": [
"map_download"
]
},
{
"page": "map_view",
"title": "Compose a leaflet map from multiple layers (EE rasters and/or vectors)",
"topics": [
"map_view"
]
},
{
"page": "plot_icesat2_orbit_animation",
"title": "Plot ICESat-2 orbital tracks as a 3D globe animation",
"topics": [
"plot_icesat2_orbit_animation"
]
},
{
"page": "plot",
"title": "Plot photons from ATL03 and ATL08 joined products",
"topics": [
"plot,icesat2.atl03atl08_dt,character-method",
"plot,icesat2.atl03atl08_dt,missing-method",
"plot,icesat2.atl03_seg_dt,missing-method"
]
},
{
"page": "plot.varSel",
"title": "Plot variable importance for 'varSel' objects",
"topics": [
"plot.varSel"
]
},
{
"page": "predict_h5",
"title": "Model prediction over data.tables using HDF5 file as output",
"topics": [
"predict_h5"
]
},
{
"page": "predict_h5-ANY-icesat2.atl03_seg_dt-character-method",
"title": "S4 method for predicting using HDF5 file as output",
"topics": [
"predict_h5,ANY,icesat2.atl03_seg_dt,character-method"
]
},
{
"page": "predict_h5-ANY-icesat2.atl08_dt-character-method",
"title": "S4 method for predicting using HDF5 file as output",
"topics": [
"predict_h5,ANY,icesat2.atl08_dt,character-method"
]
},
{
"page": "prepend_class",
"title": "Prepend a class to an object's list of classes",
"topics": [
"prepend_class"
]
},
{
"page": "randomSampling",
"title": "Pure random sampling method",
"topics": [
"randomSampling"
]
},
{
"page": "rasterize_h5",
"title": "Rasterizes the model prediction saved in the HDF5 file",
"topics": [
"rasterize_h5"
]
},
{
"page": "rasterize_h5-icesat2.predict_h5-character-SpatExtent-numeric-method",
"title": "Rasterizes the model prediction saved in the HDF5 file",
"topics": [
"rasterize_h5,icesat2.predict_h5,character,SpatExtent,numeric-method"
]
},
{
"page": "rasterSampling",
"title": "Get observations sampled by raster class",
"topics": [
"rasterSampling"
]
},
{
"page": "rbindlist2",
"title": "Row-bind a list of objects while preserving class",
"topics": [
"rbindlist2"
]
},
{
"page": "rgt_extract",
"title": "Extract Reference Ground Track from ICESat-2 ATL03 or ATL08 Data",
"topics": [
"rgt_extract"
]
},
{
"page": "sample",
"title": "Sample method for applying multiple sampling methods",
"topics": [
"sample"
]
},
{
"page": "sample_ATL_granules_by_year",
"title": "Sample ICESat-2 ATL granule URLs by year",
"topics": [
"sample_ATL_granules_by_year"
]
},
{
"page": "search_datasets",
"title": "Search for Google Earth Engine datasets",
"topics": [
"search_datasets"
]
},
{
"page": "seg_ancillary_extract",
"title": "Given a stack image raster from GEE retrieve the point geometry with values for the images",
"topics": [
"seg_ancillary_extract"
]
},
{
"page": "slope",
"title": "Compute terrain slope (degrees) from a DEM image",
"topics": [
"slope"
]
},
{
"page": "spacedSampling",
"title": "Get observations with a minimum radius distance between samples",
"topics": [
"spacedSampling"
]
},
{
"page": "stratifiedSampling",
"title": "Get samples stratified by a variable binning histogram",
"topics": [
"stratifiedSampling"
]
},
{
"page": "to_vect",
"title": "Convert ICESat-2 classes, data.frame/data.table, and sf to terra::SpatVector",
"topics": [
"to_vect",
"to_vect,data.frame-method",
"to_vect,data.table-method",
"to_vect,icesat2.atl03atl08_dt-method",
"to_vect,icesat2.atl03_atl08_seg_dt-method",
"to_vect,icesat2.atl03_dt-method",
"to_vect,icesat2.atl03_seg_dt-method",
"to_vect,icesat2.atl08_dt-method",
"to_vect,sf-method"
]
},
{
"page": "varSel",
"title": "Random Forest Variable Selection (Breiman-only)",
"topics": [
"varSel"
]
},
{
"page": "vect_as_ee",
"title": "Convert vector data to Google Earth Engine FeatureCollection (no rgee)",
"topics": [
"vect_as_ee"
]
},
{
"page": "write_geojson",
"title": "Safely write a GeoJSON file from a lon/lat table",
"topics": [
"write_geojson"
]
}
],
"_readme": "https://github.com/cran/ICESat2VegR/raw/HEAD/README.md",
"_rundeps": [
"askpass",
"assertthat",
"cachem",
"class",
"classInt",
"cli",
"curl",
"data.table",
"DBI",
"digest",
"dplyr",
"e1071",
"fastmap",
"fs",
"gargle",
"generics",
"geojsonsf",
"geometries",
"getPass",
"glue",
"googleAuthR",
"googleCloudStorageR",
"googledrive",
"here",
"httpuv",
"httr",
"httr2",
"jsonify",
"jsonlite",
"KernSmooth",
"later",
"lattice",
"lifecycle",
"magrittr",
"mathjaxr",
"Matrix",
"memoise",
"mime",
"openssl",
"otel",
"pillar",
"pkgconfig",
"png",
"promises",
"proxy",
"purrr",
"R6",
"randomForest",
"rapidjsonr",
"rappdirs",
"rbibutils",
"Rcpp",
"RcppTOML",
"Rdpack",
"reticulate",
"rlang",
"rprojroot",
"rstudioapi",
"s2",
"servr",
"sf",
"sfheaders",
"stringi",
"stringr",
"sys",
"terra",
"tibble",
"tidyselect",
"units",
"utf8",
"uuid",
"vctrs",
"withr",
"wk",
"xfun",
"xml2",
"yaml",
"zip"
],
"_sysdeps": [
{
"shlib": "libgdal",
"package": "libgdal38",
"headers": "libgdal-dev",
"source": "gdal",
"version": "3.12.2+dfsg-1build2",
"name": "gdal",
"homepage": "http://www.gdal.org/",
"description": "Geospatial Data Abstraction Library"
},
{
"shlib": "libproj",
"package": "libproj25",
"headers": "libproj-dev",
"source": "proj",
"version": "9.7.1-1",
"name": "proj",
"homepage": "https://proj.org/",
"description": "Cartographic projection library"
},
{
"shlib": "libstdc++",
"package": "libstdc++6",
"source": "gcc",
"version": "16-20260322-1ubuntu1",
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