You might create a Cloud Optimized GeoTiff (COG) from ENVI for
frequently use band combinations, such as:
gdalwarp -f COG -co COMPRESSION=DEFLATE -t_srs EPSG:4326 \
-src_band 23 -dst_band 1 \
-src_band 130 -dst_band 2 \
-src_band 420 -dst_band 3 \
[envi file] new.tif
Now, you have a COG that can be efficiently accessed over the web for
visualization/analysis using software like Leaflet and
georaster-for-leaflet.
You can can style (analyze) band(s) pixel values using
georaster-for-leaflet by defining custom palettes. Note, the more bands
and the larger the data type will mean more data. So, a single band,
byte value will always load fastest. Doing something like a 3 band Int16
isn't painfully slow. I've got tons of examples for COG (and FGB) at
CloudNaitveMaps.com
https://leafletjs.com/
https://github.com/GeoTIFF/georaster-layer-for-leaflet
On 4/23/24 09:15, Jose Gomez-Dans via gdal-dev wrote:
Hello,
I have quite a lot of very large hyperspectral data (>600 bands). The
data is in ENVI BIL format, but I would like to use GTiff for it, and
possibly access the data via HTTPS for processing and visualisation. I
notice that in the STAC world, it's one file per band, which gets a bit
tiring quickly ;-) Are there some recommendations for this kind of data?
I will need to look at a few bands "spatially" (e.g. build a false
colour RGB), but also quickly access the whole spectrum.
Thanks!
Jose
_______________________________________________
gdal-dev mailing list
gdal-dev@lists.osgeo.org
https://lists.osgeo.org/mailman/listinfo/gdal-dev
_______________________________________________
gdal-dev mailing list
gdal-dev@lists.osgeo.org
https://lists.osgeo.org/mailman/listinfo/gdal-dev
