As climate change increases the likelihood of extreme weather events, data insights to mitigate disaster is of the utmost importance. Wildfires are a prime example—knowing which areas are most at risk can help stakeholders decide how to prioritize preventative and preparatory measures. Organizations need a platform that integrates real-time weather, multiple climate models, and streaming satellite telemetry from a variety of constellations into a unified workflow; -combining them with other data to advance atmospheric science research; analyze the impact to populations, infrastructure, and ecosystems; and build myriads of apps enabling adaptation to climate change.
Climate disaster models require prebuilt AI-ML workflows for risk analysis, pattern detection, -enriched with multiple climate models and open-source data sources. In-Platform Analytics are key for immediate alerting however the ability to export, virtualize and abstract data/ meta-data to ANY 3rd party system or interface is critical. Additionally enhanced thermal irregularity enhances platform offerings, with real-time streaming of all climate & wildfire sources: air quality, fire surveillance, thermal (MODIS, VIIRS, GOES), wind & weather.
Alerting and intelligence driven actions can only be leveraged with precision location coupled with threat determination. With active-active support, each remote edge, FOB, ECP can function independently for threat analysis and assist viability determination. Integration with updated playbooks, and global telemetry can be key in preparing and surviving a large scale disruption. Operations in tactically denied, or disaster impaired regions can only come from data simplicity with complete source visibility and governed sharing of diverse data types with ease of access, trust, and control.
As climate change increases the likelihood of extreme weather events, data insights to mitigate disaster is of the utmost importance. Wildfires are a prime example—knowing which areas are most at risk can help stakeholders decide how to prioritize preventative and preparatory measures. Organizations need a platform that integrates real-time weather, multiple climate models, and streaming satellite telemetry from a variety of constellations into a unified workflow; -combining them with other data to advance atmospheric science research; analyze the impact to populations, infrastructure, and ecosystems; and build myriads of apps enabling adaptation to climate change.
Climate disaster models require prebuilt AI-ML workflows for risk analysis, pattern detection, -enriched with multiple climate models and open-source data sources. In-Platform Analytics are key for immediate alerting however the ability to export, virtualize and abstract data/ meta-data to ANY 3rd party system or interface is critical. Additionally enhanced thermal irregularity enhances platform offerings, with real-time streaming of all climate & wildfire sources: air quality, fire surveillance, thermal (MODIS, VIIRS, GOES), wind & weather.
Alerting and intelligence driven actions can only be leveraged with precision location coupled with threat determination. With active-active support, each remote edge, FOB, ECP can function independently for threat analysis and assist viability determination. Integration with updated playbooks, and global telemetry can be key in preparing and surviving a large scale disruption. Operations in tactically denied, or disaster impaired regions can only come from data simplicity with complete source visibility and governed sharing of diverse data types with ease of access, trust, and control.