Using only scene statistics without ancillary data inputs, ARSI's RESOLV™ software allows small sat companies to achieve near real-time atmospheric correction of satellite imagery, so that the imagery can be applied to time-sensitive use cases.

ARSI needed a cloud-based platform to automate their atmospheric correction process and provide live access to clients. For demo purposes, a web interface was also required so that users could select imagery for atmospheric correction, and download the corrected files.

ARSI was able to automate and provide live access to their Resolv software within a matter of days via the Strato Workflows Github integration and drag-and-drop UI. Strato Workflows was launched in ARSI's own Amazon Web Services account, so that their proprietary algorithm was not exposed outside of their own version control and cloud accounts. As ARSI implements new versions of the Resolv software tailored to the technical specifications of different small sat providers, ARSI scientists can rapidly spin up new cloud-based automated workflows via Strato Workflows in a matter of hours and without hiring a devops team.

Strato Maps, hosted in ARSI's own cloud account and at a domain name of their choosing, was integrated with Strato workflows to provide the demo web interface where users can select images for atmospheric correction via the Resolv software.

COVE’s Digital Harbour is a project that will provide digital information using an integrated system of sensors to record real-time data sources from stationary and mobile infrastructure located in the water, on land, in the air, and via satellite. The project is focused on Canada's Halifax harbour, which features a dense cluster of marine and aerospace companies paired with naval, commercial, research, and recreational activities that occur simultaneously in a constrained physical harbour space, making it the optimal location for a project of this scope.

COVE has partnered with Strato Earth to construct the Digital Harbour web and cloud-based platform. The platform ingests, processes, distributes and visualizes data generated by sensors in the Halifax harbour. Digital Harbour must be capable of integrating current and future IoT sensors of various types, and of providing scientists and participating organizations with secure programmatic and user interface access to the resulting datasets.

Leveraging our existing infrastructure-as-code libraries and experience in working with geospatial and time series data, Strato Earth was able to complete phase one of the project on budget and several months ahead of schedule. Stay tuned for updates as we progress further on this exciting long-term project.

Tesera’s High Resolution Inventory Solutions (HRIS) deploys advanced machine learning and data analytics to produce reliable forestry and natural resource inventories. HRIS is a blend of area-based modelling (using LiDAR, multispectral imagery, ground plot data, complemented with terrain and climate data) and individual tree crown delineation to provide a more reliable, scalable and consistent forest inventory.

Tesera needed to automate their HRIS data processing algorithms to run at scale against big data in the cloud. The solution needed to allow for re-combination of the algorithms into a series of differentiated workflows. Tesera's own forestry experts and data scientists would need to be able to build and iterate on the workflows directly, as only they have the required expertise to combine their algorithms into intricate automated workflows, and evaluate the output datasets.

Tesera opted to use Strato Workflows to achieve automation. Strato Workflows' Github integration allowed for Tesera's existing Docker images to be re-combined into cloud-based workflows with only light modification. Tesera's experts were able to use the Strato Workflows drag-and-drop UI to rapidly combine their algorithms into a series of workflows, with easy configuration of parallel processing nodes so that thousands of input files could be processed concurrently by the same algorithm.

The workflow duplication feature has allowed Tesera data scientists to instantly create duplicates of their complex workflows, which can then be easily modified into variant workflows.

IISD Experimental Lakes Area is one of the most influential freshwater research facilities on Earth—the only place in the world where scientists can manipulate real lakes to understand what human activity does to fresh water.

IISD's research operations require efficient and secure storage of historical and newly acquired datasets in the cloud, and careful integration of new datasets with IISD's existing relational database design. IISD is also engaged in machine learning projects, which need to be configured and maintained to run in the cloud.

IISD has partnered with Strato Earth to provide cloud infrastructure and database support for the Experimental Lakes Area project. Utilizing our existing infrastructure-as-code libraries and extensive expertise in Amazon Web Services, Strato Earth is providing on-going support to IISD with a particular focus on implementation and audit of cloud security standards and configurations, PostgreSQL database design and administration, and cloud resource configuration for machine learning processes.