Display information about all sample datasets included with geospatialsuite.
Examples
# \donttest{
# List all sample datasets
datasets <- list_sample_datasets()
print(datasets)
#> filename type size_kb
#> 1 sample_red.rds SpatRaster 2
#> 2 sample_nir.rds SpatRaster 2
#> 3 sample_blue.rds SpatRaster 2
#> 4 sample_green.rds SpatRaster 2
#> 5 sample_swir1.rds SpatRaster 2
#> 6 sample_multiband.rds SpatRaster 8
#> 7 sample_points.rds sf 3
#> 8 sample_boundary.rds sf 2
#> 9 sample_coordinates.csv data.frame 1
#> description
#> 1 Red band reflectance (10x10 pixels, Ohio region)
#> 2 NIR band reflectance (10x10 pixels, Ohio region)
#> 3 Blue band reflectance (10x10 pixels, Ohio region)
#> 4 Green band reflectance (10x10 pixels, Ohio region)
#> 5 SWIR1 band reflectance (10x10 pixels, Ohio region)
#> 6 Multi-band raster (Blue, Green, Red, NIR, SWIR1)
#> 7 Sample field locations (20 points with attributes)
#> 8 Sample study area boundary polygon
#> 9 Sample coordinates with elevation and soil data
#> use_case available
#> 1 Vegetation index calculation (NDVI, SAVI, etc.) TRUE
#> 2 Vegetation index calculation (NDVI, SAVI, etc.) TRUE
#> 3 Enhanced vegetation index (EVI) calculation TRUE
#> 4 Water index calculation (NDWI, GNDVI) TRUE
#> 5 Water and moisture indices (NDMI, MNDWI) TRUE
#> 6 Auto band detection, multi-index calculation TRUE
#> 7 Spatial join examples, extraction workflows TRUE
#> 8 Region boundary examples, masking operations TRUE
#> 9 Geocoding, spatial integration examples TRUE
#> access_method
#> 1 load_sample_data('sample_red.rds')
#> 2 load_sample_data('sample_nir.rds')
#> 3 load_sample_data('sample_blue.rds')
#> 4 load_sample_data('sample_green.rds')
#> 5 load_sample_data('sample_swir1.rds')
#> 6 load_sample_data('sample_multiband.rds')
#> 7 load_sample_data('sample_points.rds')
#> 8 load_sample_data('sample_boundary.rds')
#> 9 load_sample_data('sample_coordinates.csv')
# Quick list
datasets_simple <- list_sample_datasets(detailed = FALSE)
# }