overview

L8M Australia was born out of the idea to create a mosaic which would allow users to benefit from the full spectral capabilities of satellite imagery for large-scale analytical purposes. In order for the product to serve as an update to existing options we wanted it to be; created using recently captured imagery and processed to remove clouds. You can interact with a sample of the mosaic draped over a terrain model in the window below.

data

Landsat-8, launched early 2013, is a recent satellite mission collaboration between NASA and the U.S Geological Survey with enough depth of imagery in its archive to generate a cloud-free mosaic. For those of you who may be unfamiliar with Landsat-8, you can find some information about the satellite and its capabilities here or watch the fun animated video.

strategy

Working on a large scale project, one of our main focuses was to automate as much of the workflow as possible. It was important however to find the balance of automated processes without compromising on quality or having to re-do work manually later. Another key decision in the planning stage was to develop a scene selection criteria in order for the final mosaic to have a visually uniform appearance. As we are always keen to utilise open-source software, we wanted to make use of good options whenever possible for the project.

Open-source vs. Proprietary

Open-source technology is generally a good option for someone who is looking to keep costs down and is interested in reading and/or contributing to the source-code of the software. Proprietary software however, will have license costs associated with using it but can at times produce better outputs. This can be attributed to choices in different processing algorithms and also through thorough testing of the software. We have written a short summary for some of the key processes involved in the project discussing our decisions whether to use proprietary or open-source software. If you are looking to create an imagery mosaic of your own, you may find some of the below assessments of interest. We encourage you to look at current open-source options as they develop quickly with new functionality being made available.

open source

We used QGIS exclusively for digitising the clouds and fire scars found in the imagery for removal during processing. The ‘Advanced Digitising Toolbar’ in QGIS has additional options you can use for digitising for example splitting- , reshaping- and merging- features and is intuitive to use. You can extend digitising further in QGIS by installing some plugins.

In addition, we wanted to supply our clients with vector ancillary resources containing information about all of the scenes used in the mosaic. These were produced using a number of the tools available in the ‘Vector Processing’ menu on the cutlines generated during the mosaicing.

For a large scale mosaic, tiling the imagery is vital, in order for the imagery to be in used manageable sizes. QGIS seemed the natural option for generating tile grids as the structure for cutting up the mosaic in multiple projections.


GDAL is an extensive geospatial processing library with many functions that are useful when dealing with raster and vector formats. Some of the major power to GDAL is it’s support for many different raster and vector formats allowing users to make unlock its capabilities with data in proprietary formats.

We used GDAL for reprojecting, resampling, building overviews, clipping, tiling and formatting of all the data during the entire project. As processing can be done using command line, it becomes very convenient to batch jobs and perform tasks simultaneously. It was probably the main workhorse for much of the processing work as it was continuously running in the background.

proprietary

We opted to use software from PCI Geomatics a canadian company with a vision ‘To offer the best geoimaging products and solutions in the world.’ We got licenses for Geomatica 2015 and utilised it for our pansharpening, atmospheric correction, mosaicing and contrast stretching.

The main reason we chose Geomatica over open-source and other proprietary options, such as ERDAS Imagine, was due to a number of reasons. Firstly, we found during testing that the output quality was very good as a result of their algorithms and advanced processing options. Additionally, many of the tasks could also be batched using Geomatica’s Modeler for convenience and automation. Finally, the main reason for Geomatica was their very powerful OrthoEngine product that is part of Geomatica. This is where we completed all of the mosaicing and found the setup and structure of the workflow very intuitive. There are many options for various mosaicing techniques and the ability to include masks and perform manual editing was what enabled us to create a high quality mosaiced output.

automation vs. manual

For projects on this scale, automation is your friend. It can save you time, energy and allow for multi-tasking. Having said that, there are some tasks that are difficult to automate or produce results that require considerable post-editing manually.

manual example

One part of the process that we decided to work manually was to produce the cloud and fire scar masks for mosaicing. Automated workflows generally involve some form of pixel-based classification where the computer identifies certain pixel characteristics that would indicate for example a cloud.

We found however that working over Australia, areas with a high surface albedo(reflectance) such as beaches and urban areas were often mistaken for clouds. This resulted in the need for extensive manual editing afterwards. Therefore, in this case manual digitising from the beginning ended up being the quicker and more accurate option.

automated example

We created an automated workflow for atmospherically correcting and pansharpening the imagery inside Geomatica’s Modeler software. Through the automated process we were also able to generate the water masks used later during the colour balancing of the mosaic.

As we worked with over 1000 scenes in total, these were the types of tasks where automation was highly preferable, as the product would not have benefited in terms of quality by performing the same tasks manually.

more than just a basemap

Our primary goal with this project was to produce an imagery mosaic that can be used for multiple applications. In order to do so, we processed the mosaic with all multispectral bands supplied with Landsat-8 imagery. We also wanted to offer the product in a ready-to-use colour balanced state in natural- and false- colour. To further meet the various needs of the user, the imagery is supplied in two different projections and in uncompressed and compressed formats. In all, L8M Australia is a product in which the user can do as much or as little customising and processing as they want.

l8m image 571 combination
l8m image 632 combination
l8m image 652 combination
l8m image 764 combination
conclusion

As our first foray into creating an imagery mosaic, we found the experience tough but rewarding. We were pleased the end-result surpassed our initial goals and expectations and has prompted some new uses for the product that we had not intended initially. Technical information and sample imagery for the product can be found here. In addition to the mosaic, we are currently designing a collection of posters capturing the naturally beauty of Australia. Visit our store to have a look at these!