This issue delineates the creation of a Flatbuffer Interface Definition Language (IDL) schema tailored for orchestrating satellite imagery requests across a comprehensive array of providers. This schema aims to capture the diverse technical specifications, imaging capabilities, and tasking protocols inherent to each provider, ensuring a unified and efficient framework for satellite imagery acquisition and delivery.
Objectives
Extensive Provider Integration: Develop an all-encompassing schema that integrates the wide-ranging imaging modalities, resolutions, and tasking capabilities of each provider, from the high-resolution optical and SAR imagery of Maxar and Airbus Intelligence to the unique hyperspectral and thermal imaging services offered by providers like Pixxel.
Geospatial and Temporal Flexibility: Embed advanced geospatial targeting capabilities and temporal specifications within the schema to support detailed area selection, including support for AOIs (Areas of Interest) defined by coordinates, shapes, and lines, and temporal tasking options to capture imagery at specific dates and times.
Imagery Specifications and Formats: Define a comprehensive set of specifications for image resolution, type (e.g., optical, SAR, multispectral, hyperspectral, thermal), and preferred data formats and compression standards, aligning with the operational capabilities and delivery mechanisms of each satellite imagery provider.
Data Delivery and Processing Options: Specify data delivery preferences, including formats like GeoTIFF, JPEG, PNG, and data processing requirements such as atmospheric correction, image stitching, and mosaicking, tailored to the processing and delivery standards of each provider.
Requirements
The Flatbuffer IDL must include detailed enums and tables that accurately reflect the tasking, imaging, and data delivery options of each satellite imagery provider, ensuring comprehensive coverage and interoperability.
Complex data structures are essential to accommodate the nuanced specifications of satellite imagery requests, including spectral band selection for multispectral and hyperspectral imaging, radar polarization for SAR imagery, and requirements for data processing and enhancement.
Incorporate robust error handling mechanisms to address tasking rejections, data unavailability, and delivery complications, with clear provider-specific error codes and messages to facilitate issue resolution.
Design the schema for future scalability, allowing for the integration of new satellite imagery providers, emerging imaging technologies, and evolving tasking protocols without disrupting existing schema functionality.
Deliverables
A detailed Flatbuffer IDL schema file (.fbs) that defines the necessary data structures for a comprehensive and versatile satellite imagery request system, capable of accommodating the diverse service offerings and technical nuances of a broad spectrum of providers, including but not limited to Maxar, Planet, Sentinel, Airbus Intelligence, and more.
Exhaustive documentation that provides clear explanations of each data structure and field within the schema, illustrated with example requests for various providers to demonstrate the schema's versatility and applicability.
Demonstrative code examples that show how to construct, submit, and process satellite imagery requests using the schema, including handling of provider-specific responses and data delivery mechanisms.
Timeline
The project will begin with a 10-week phase dedicated to in-depth research and schema design, focusing on the collection and analysis of detailed specifications from each satellite imagery provider. This will be followed by an 8-week development phase for schema construction and initial testing, culminating in a 4-week review and feedback period with stakeholders for final refinements.
Discussion
Engagement from satellite imagery specialists, data analysts, and industry stakeholders is crucial to this project's success. Input on provider-specific capabilities, technical challenges, and use case scenarios is highly encouraged to ensure the Flatbuffer IDL schema comprehensively serves the diverse needs of the global satellite imagery community.
Overview
This issue delineates the creation of a Flatbuffer Interface Definition Language (IDL) schema tailored for orchestrating satellite imagery requests across a comprehensive array of providers. This schema aims to capture the diverse technical specifications, imaging capabilities, and tasking protocols inherent to each provider, ensuring a unified and efficient framework for satellite imagery acquisition and delivery.
Objectives
Extensive Provider Integration: Develop an all-encompassing schema that integrates the wide-ranging imaging modalities, resolutions, and tasking capabilities of each provider, from the high-resolution optical and SAR imagery of Maxar and Airbus Intelligence to the unique hyperspectral and thermal imaging services offered by providers like Pixxel.
Geospatial and Temporal Flexibility: Embed advanced geospatial targeting capabilities and temporal specifications within the schema to support detailed area selection, including support for AOIs (Areas of Interest) defined by coordinates, shapes, and lines, and temporal tasking options to capture imagery at specific dates and times.
Imagery Specifications and Formats: Define a comprehensive set of specifications for image resolution, type (e.g., optical, SAR, multispectral, hyperspectral, thermal), and preferred data formats and compression standards, aligning with the operational capabilities and delivery mechanisms of each satellite imagery provider.
Data Delivery and Processing Options: Specify data delivery preferences, including formats like GeoTIFF, JPEG, PNG, and data processing requirements such as atmospheric correction, image stitching, and mosaicking, tailored to the processing and delivery standards of each provider.
Requirements
Deliverables
Timeline
The project will begin with a 10-week phase dedicated to in-depth research and schema design, focusing on the collection and analysis of detailed specifications from each satellite imagery provider. This will be followed by an 8-week development phase for schema construction and initial testing, culminating in a 4-week review and feedback period with stakeholders for final refinements.
Discussion
Engagement from satellite imagery specialists, data analysts, and industry stakeholders is crucial to this project's success. Input on provider-specific capabilities, technical challenges, and use case scenarios is highly encouraged to ensure the Flatbuffer IDL schema comprehensively serves the diverse needs of the global satellite imagery community.