Returns a named character vector of columns for the given product.
Names are the short user-facing column names (used in the columns
argument of sl_read()). Values are the full HDF5 dataset paths.
Arguments
- product
Character. One of:
GEDI:
"L1B","L2A","L2B","L4A","L4C"ICESat-2:
"ATL03","ATL06","ATL07","ATL08","ATL10","ATL13","ATL24"
- set
Character. Which column set to return:
"all"(default): every column in the registry, including geophysical corrections, instrument details, and pool columns."default": a curated subset of commonly useful science variables, quality flags, and context columns. This is whatsl_read()returns whencolumnsis not specified.
Examples
sl_columns("L2A")
#> lat_lowestmode
#> "lat_lowestmode"
#> lon_lowestmode
#> "lon_lowestmode"
#> beam
#> "beam"
#> shot_number
#> "shot_number"
#> channel
#> "channel"
#> delta_time
#> "delta_time"
#> master_frac
#> "master_frac"
#> master_int
#> "master_int"
#> degrade_flag
#> "degrade_flag"
#> quality_flag
#> "quality_flag"
#> sensitivity
#> "sensitivity"
#> solar_azimuth
#> "solar_azimuth"
#> solar_elevation
#> "solar_elevation"
#> surface_flag
#> "surface_flag"
#> elevation_bias_flag
#> "elevation_bias_flag"
#> elev_lowestmode
#> "elev_lowestmode"
#> elev_highestreturn
#> "elev_highestreturn"
#> energy_total
#> "energy_total"
#> num_detectedmodes
#> "num_detectedmodes"
#> rh
#> "rh"
#> selected_algorithm
#> "selected_algorithm"
#> selected_mode
#> "selected_mode"
#> selected_mode_flag
#> "selected_mode_flag"
#> digital_elevation_model
#> "digital_elevation_model"
#> digital_elevation_model_srtm
#> "digital_elevation_model_srtm"
#> mean_sea_surface
#> "mean_sea_surface"
#> elevation_bin0_error
#> "elevation_bin0_error"
#> lat_highestreturn
#> "lat_highestreturn"
#> latitude_bin0_error
#> "latitude_bin0_error"
#> lon_highestreturn
#> "lon_highestreturn"
#> longitude_bin0_error
#> "longitude_bin0_error"
#> landsat_treecover
#> "land_cover_data/landsat_treecover"
#> landsat_water_persistence
#> "land_cover_data/landsat_water_persistence"
#> leaf_off_doy
#> "land_cover_data/leaf_off_doy"
#> leaf_off_flag
#> "land_cover_data/leaf_off_flag"
#> leaf_on_cycle
#> "land_cover_data/leaf_on_cycle"
#> leaf_on_doy
#> "land_cover_data/leaf_on_doy"
#> modis_nonvegetated
#> "land_cover_data/modis_nonvegetated"
#> modis_nonvegetated_sd
#> "land_cover_data/modis_nonvegetated_sd"
#> modis_treecover
#> "land_cover_data/modis_treecover"
#> modis_treecover_sd
#> "land_cover_data/modis_treecover_sd"
#> pft_class
#> "land_cover_data/pft_class"
#> region_class
#> "land_cover_data/region_class"
#> urban_focal_window_size
#> "land_cover_data/urban_focal_window_size"
#> urban_proportion
#> "land_cover_data/urban_proportion"
sl_columns("L2A", set = "default")
#> beam shot_number
#> "beam" "shot_number"
#> delta_time degrade_flag
#> "delta_time" "degrade_flag"
#> quality_flag sensitivity
#> "quality_flag" "sensitivity"
#> solar_elevation elev_lowestmode
#> "solar_elevation" "elev_lowestmode"
#> elev_highestreturn energy_total
#> "elev_highestreturn" "energy_total"
#> num_detectedmodes rh
#> "num_detectedmodes" "rh"
#> selected_algorithm digital_elevation_model
#> "selected_algorithm" "digital_elevation_model"
#> landsat_treecover modis_treecover
#> "land_cover_data/landsat_treecover" "land_cover_data/modis_treecover"
#> pft_class region_class
#> "land_cover_data/pft_class" "land_cover_data/region_class"
