NISAR will add a tremendous new data set to create new and greatly improve upon existing applications. By virtue of the planned frequent and regular sampling of some of the world's most hazard-prone areas, these data will be a rich source of information to guide development of applications and their associated scientific studies. They will be a reliable data source over the life of the mission for proactive planning for disasters, and will have a store of pre-disaster images available to rapidly understand what transpired in the disaster, leading to the development of actionable applications that could inform the government for consideration of future operational missions. Water resource monitoring, infrastructure monitoring, and other value-added applications will also be revolutionized by access to these data. To learn more about applications, there is more information in the Applications White Papers and ArcGIS StoryMaps.
The NISAR Utilization Plan defines “applications” as engagement between the NISAR project and the broader stakeholder community with the purpose of increasing the utility, accessibility and discoverability of NISAR data. Specifically by:
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demonstrating the value of the NISAR mission within a broad societal context,
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supporting activities that engage a diverse user community,
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educating a broader community on the utility of SAR data,
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working with interested end users to develop information products, and
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contributing to an observation plan and data delivery schedule that facilitates both science and applications within mission constraints.
There are multiple pathways to engage with NISAR:
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Follow us via semi-annual newsletters by signing up for the application mailing list
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Participation in NISAR Application Workshops
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Invited participation in focused, charter-driven working groups dedicated to facilitating progress towards the overarching goal of increasing the applications potential of NISAR data
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Invited participation as a NISAR Envoy Member to receive updated information on the project for distribution at professional meetings and conferences
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Early Adoption of NISAR by integrating NISAR-like data into algorithms and workflows and joining the Community of Practice (CoP)