{ "_id": "6ad0c62540ee6d4f479bda4e", "Package": "ICESat2VegR", "Type": "Package", "Title": "ICESat-2 Data Analysis for Land and Vegetation", "Version": "0.0.6", "Authors@R": "c( person(\"Carlos Alberto\", \"Silva\", email = \"c.silva@ufl.edu\", role = c(\"aut\", \"cph\", \"cre\")),\nperson(\"Caio\", \"Hamamura\", email = \"caiohamamura@gmail.com\", role = c(\"aut\", \"cph\")),\nperson(\"Cesar\", \"Alvites\", email = \"c.alvitesdiaz@ufl.edu\", role = c(\"aut\", \"ctb\")),\nperson(\"Alexander J.\", \"Gaskins\", email = \"alexandergaskins@ufl.edu\", role = c(\"aut\", \"ctb\")),\nperson(\"Sunil\", \"Arya\", role = c(\"ctb\", \"cph\"), comment = \"Author of the bundled ANN library (src/)\"),\nperson(\"David\", \"Mount\", role = c(\"ctb\", \"cph\"), comment = \"Author of the bundled ANN library (src/)\"),\nperson(given = \"University of Maryland\", role = \"cph\", comment = \"Copyright holder of the bundled ANN library (src/)\"),\nperson(\"Chuck\", \"Gantz\", role = \"ctb\", comment = \"Author of the lat/long to UTM conversion algorithm used in R/utmTools.R\"),\nperson(\"Cole\", \"Krehbiel\", role = \"ctb\", comment = \"Author of the NASA data download routine adapted in R/ATLAS_dataDownload.R\")\n)", "Description": "Provides tools for downloading, reading, processing,\nvisualizing, and exporting NASA's ICESat-2 ATL03 (Global\nGeolocated Photon Data) and ATL08 (Land and Vegetation Height)\nproducts. 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Gaskins [aut, ctb],\nSunil Arya [ctb, cph] (Author of the bundled ANN library (src/)),\nDavid Mount [ctb, cph] (Author of the bundled ANN library (src/)),\nUniversity of Maryland [cph] (Copyright holder of the bundled ANN\nlibrary (src/)),\nChuck Gantz [ctb] (Author of the lat/long to UTM conversion algorithm\nused in R/utmTools.R),\nCole Krehbiel [ctb] (Author of the NASA data download routine adapted\nin R/ATLAS_dataDownload.R)", "Maintainer": "Carlos Alberto Silva ", "_user": "caiohamamura", "_type": "src", "_file": "ICESat2VegR_0.0.6.tar.gz", "_fileid": "https://r2.ropensci.org/5ef15ac9934d0581e6710e68c2bce4cc997b7eb897f61dea801fb445f061263c", "_filesize": 4434512, "_sha256": "5ef15ac9934d0581e6710e68c2bce4cc997b7eb897f61dea801fb445f061263c", "_expires": "2027-01-23T12:25:05.000Z", "_created": "2026-10-15T11:58:10.000Z", "_published": "2026-10-15T12:25:09.413Z", "_buildurl": "https://github.com/r-universe/caiohamamura/actions/runs/38730548957", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 116409462338, "time": 293, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "11970831355" }, { "job": 116409462170, "time": 349, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11970261730" }, { "job": 116409463036, "time": 299, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11970806384" }, { "job": 116409462229, "time": 345, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11970176847" }, { "job": 116409462450, "time": 261, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11971123024" }, { "job": 116409462040, "time": 496, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11970832679" }, { "job": 116409462105, "time": 290, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11971572613" }, { "job": 116409462239, "time": 766, "config": "macos-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11971885416" }, { "job": 116407082391, "time": 353, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11970455771" }, { "job": 116409461975, "time": 280, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11970856299" }, { "job": 116409462235, "time": 554, "config": "windows-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "11971157173" }, { "job": 116409462270, "time": 791, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11971297890" }, { "job": 116409462305, "time": 707, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11970687960" }, { "job": 116409462093, "time": 488, "config": "windows-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11971361671" }, { "job": 116409462191, "time": 748, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11970867758" } ], "_upstream": "https://github.com/carlos-alberto-silva/ICESat2VegR", "_commit": { "id": "2033a5790d8439af1aa3c04fcdd2b57cb55a1a10", "author": "Carlos Alberto Silva ", "committer": "Carlos Alberto Silva ", "message": "Make ICESat2VegR_configure() provision Python automatically\n\nThe conda fallback could fail silently: reticulate::py_require() results were never re-checked, conda output was discarded, and the machine global conda channel configuration was rewritten before conda create ran without an explicit channel.\n\nNow requirements are declared before the first Python start so reticulate can provision its own managed environment, existing environments are reused first, modules are re-checked after every attempt, failures print the failing command and its output, conda runs with --override-channels -c conda-forge, environment creation retries with a private prefix and then with reticulate Miniconda, and the active session is repaired when a prepared environment needs a restart. 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"ATL03_ATL08_seg_attributes_dt_clipBox" ] }, { "page": "ATL03_ATL08_seg_attributes_dt_clipGeometry", "title": "Clip joined ATL03/ATL08 segment attributes by geometry", "topics": [ "ATL03_ATL08_seg_attributes_dt_clipGeometry" ] }, { "page": "ATL03_ATL08_seg_cover_dt_compute", "title": "Compute canopy cover from ATL03/ATL08 classified photons", "topics": [ "ATL03_ATL08_seg_cover_dt_compute" ] }, { "page": "ATL03_ATL08_segment_create", "title": "Compute segments id for a given segment length", "topics": [ "ATL03_ATL08_segment_create" ] }, { "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", 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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", 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