Aurora provides you with satellite images and helps you analyze those images in real-time. The workflow section lets you play around and derive all the necessary information from an AOI through various in-house machine learning and statistical models. Let’s understand what it exactly is.
As the name suggests, workflow refers to a structured sequence of activities that can be created and managed within the platform. Workflows in Aurora are meant to automate the process of data extraction and analysis by visually designing an efficient process using data and processing blocks.
Data blocks represent the input data or information that is required for the workflow. This includes the AOI you created comprising images selected and the AOI boundary. Data blocks serve as the starting point for the workflow, providing the initial dataset on which the workflow’s operations will be performed.The data block (AOI block) provides two outputs: Raster and Vector, depending on the input required for the next node, the right output should be chosen.
Processing blocks represent the operations or tasks that are to be applied to the input data. These operations include all the models and tools offered by Aurora. Processing blocks define the sequence of actions to be taken on the input data. They determine how the data is modified, analyzed, or processed within the workflow.
Workflows are run to produce output where each instance when the workflow is run is called a Job. Jobs help you run the workflows repeatedly, eliminating the need to create the same workflow for each data block or processing block. Jobs are further divided into two tabs: Overview and Insights. As the name suggests, “Overview” tells you about the workflow you created and Insights showcases the results generated from the workflow.Assuming you have not created any workflows yet, please follow the process given below to create a new workflow: