geotiff_reader

Python

class GeoTIFFReader
GeoTIFFReader.formats() -> List[str]
GeoTIFFReader.extensions() -> List[str]
GeoTIFFReader.open(blob_path: Any) -> Any
GeoTIFFReader.read_native(handle: Any, variables: Optional[Sequence[str]] = None, select: Optional[Any] = None, *, band_names: Optional[Sequence[str]] = None, **_: Any) -> NativeDataset

The active geotiff reader — raster bands on a native lon/lat grid.

Decodes a GeoTIFF blob into a NativeDataset : one data variable per raster band keyed Band1..BandN (1-based, the GDAL convention; the LANDFIRE loader’s file_variable: "Band1" matches), plus the cell-center coordinate fields. Geographic rasters (the ArcGIS ImageServer imageSR=4326 responses) get lon/lat axes; projected rasters get x/y. Band arrays are float64 with the GDAL_NODATA sentinel mapped to NaN (spec/conformance.md §3). Reader-only: no variable-name remap, no unit conversion, no reprojection — those stay in ESS/ESD.

reader_kwargs: pass band_names=[...] to rename the bands positionally (e.g. a single-band elevation raster → ["elevation"]).

Members

• read_native — Decode handle into a NativeDataset of raster bands + grid.

Source

Julia

struct GeoTIFFReader <: Reader
GeoTIFFReader()

GeoTIFFReader()

The geotiff format reader — raster bands on a native lon/lat (geographic) or x/y (projected) grid. The decode half for the ArcGIS ImageServer exportImage rasters the ESS loaders fetch (LANDFIRE fuel model, USGS 3DEP elevation). One data variable per band keyed Band1..BandN (1-based, the GDAL convention; the LANDFIRE loader’s file_variable: "Band1" matches), plus the cell-center coordinate fields. Geographic rasters (imageSR=4326) get lon/lat axes; projected rasters get x/y. Band arrays are Float64 with the GDAL_NODATA sentinel mapped to NaN (spec/conformance.md §3). Reader-only: no variable-name remap, no unit conversion, no reprojection — those stay in ESS/ESD.

The decode backend is the pure-Julia TiffImages package, loaded LAZILY via a weakdep extension (EarthSciIOTiffImagesExt) — mirroring the Python reader’s lazy tifffile import, so a base EarthSciIO install stays light. Calling read_native without using TiffImages throws a clear install hint.

reader_kwargs: band_names=[...] renames the bands positionally (e.g. a single-band elevation raster → ["elevation"]); variables=[...] restricts the returned bands (a requested-but-absent band is a KeyError).

Source

Rust

pub struct GeoTiffReader;
impl GeoTiffReader { pub fn new() -> Self }

The active geotiff reader: pure-Rust raster decode + tiepoint georef.

Source · Rust docs