![]() The custom directory needs to exist before calling this module.īy default, resampling method is chosen based on the nature of the dataset,īilinear for NED and nearest for NAIP. If you have limited space or other special needs, you can set Where this directory is depends on operating system,įor example on Linux, it is under ~/.cache,Īnd on Microsoft Windows under the Application Data directory. You can clear the cache by deleting the directory. The location of the cache directory depends on the operating system. If the k flag is set, extracted files from compressed archives are also kept within the However, unzipped files and imported rasters before patching are removed. These files can be reused in case a different, but overlapping, computational If the d flag is set, data is downloaded but not imported and processed.īy default, downloaded files are kept in a user cache directory according to Is displayed without downloading the data. If the i flag is set, only information about data meeting the input parameters If multiple tiles from different yearsĪre available, use title_filter to filter by their titles (e.g. In some cases, lidar point clouds do not have SRS information, use input_srs Will be imported as points using v.in.pdalĪnd then patched and interpolated with v.surf.rst. Spatially overlapping datasets from different years. Lidar data is available only for part of the US but there can be multiple NED data are available at resolutions of 1 arc-second (about 30 meters),ġ/3 arc-second (about 10 meters), and in limited areas at 1/9 arc-second (about 3 meters). National Land Cover Dataset (NLCD) is no longer available through the API. R.in.usgs supports the following datasets: The National Map Access API, downloaded to a local cache directory, The current GRASS computational region and coordinate reference system.Īssociated parameters are automatically passed to cache)ĭESCRIPTION r.in.usgs downloads and patches selected USGS datasets (NED, NAIP, lidar) to ![]() resampling_method= string Resampling method to use Options: default, nearest, bilinear, bicubic, lanczos, bilinear_f, bicubic_f, lanczos_f Default: default default: default method based on product nearest: nearest neighbor bilinear: bilinear interpolation bicubic: bicubic interpolation lanczos: lanczos filter bilinear_f: bilinear interpolation with fallback bicubic_f: bicubic interpolation with fallback lanczos_f: lanczos filter with fallback memory= integer Maximum memory to be used (in MB) Cache size for raster rows during import and reprojection Default: 300 nprocs= integer Number of processes which will be used for parallel import and reprojection Default: 1 cache_size_tolerance= integer Tolerance for file size difference between cached file and stated download size The size difference is used to recognize failed downloads and corrupted files, but some difference occurs naturally Default: 20 output_directory= name Cache directory for download and processing Defaults to system user cache directory (e.g. use "Phase4") To avoid combining lidar from multiple years, use first -i flag and filter by tile title. EPSG:4326) Override input lidar dataset coordinate system using EPSG code or WKT definition resolution= float Resolution of lidar-based DSM title_filter= string Filter available lidar tiles by their title (e.g. Parameters: product= string USGS data product Available USGS data products to query Options: ned, naip, lidar output_name= name Name for output raster map ned_dataset= string NED dataset Available NED datasets to query Options: ned1sec, ned13sec, ned19sec Default: ned1sec ned1sec: NED 1 arc-second ned13sec: NED 1/3 arc-second ned19sec: NED 1/9 arc-second input_srs= string Input lidar dataset projection (WKT or EPSG, e.g.
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