Large imagery files are a problem. In the hyperspectral world, we send things via ENVI’s file format (BSQ, BIL, or BIP). ENVI was designed by folks doing HSI remote sensing and was optimized to easily handle large raster images. The use of this file format allows us to deliver extremely large raster files, with a separate header that described all the channels, bands, or layers in the image.

Unfortunately, not everyone owns a copy of ENVI. It is an expensive image processing package. While other remote sensing and GIS packages claimed to handle multi-band imagery data, we found that support for imagery with bands n > 3 was difficult at best. So if our customers at FERI didn’t have ENVI, the transport of the imagery had to be accomplished in another file format. The most common format other than the ENVI format for us was GeoTIFF.

Unfortunately, the GeoTIFF format is limited to 4 GB. This is clearly problematic for the image shown here in Figure 1.

Figure 1. HSI imagery of St. Joseph Bay, FL (click on the image to see the data set at WeoGeo Market.)

This image is 156 band hyperspectral mosaic. The entire image at is native spatial resolution equals 40 GB in size. Cutting this data into 10 tiles of 4 GB a piece would be one way to deliver this data set. But this is problematic for both us and the receiver of the images, as the time, energy, and effort to tile and then re-mosaic is less than efficient.

You could also say that for the most part that HSI data is a relatively small backwater of the remote sensing community, so why worry about it. To this I would respond with this imagery that we collected at the same time in Figure 2.

Figure 2. 3-Band DSS imagery of St. Joseph Bay, FL (click on the image to see the data set at WeoGeo Market.)

This is a 3-band RGB from an Applanix DSS. The resolution was about 1/6 the spatial resolution of the HSI sensor. The higher spatial resolution makes this image nearly as large as the HSI image. We actually incurred the pain of tiling the full image set for our original customer because they had only ESRI software with which to analysis this image.

Our friends at GDAL asked us about sponsoring a new file format, BigTIFF, which would be based on extending the TIFF format. We were happy to step up to help make this happen. I believe that the other sponsors had similar file storage and distribution issues, and we look forward to broad acceptance of this file format.

It will certainly make our distribution issues easier.

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