Intended to do remote sensing By making analysis accessible to everyone, Aurora helps remote sensing user groups access, interpret and leverage EO data, Pixxel said in a statement.
Developed in-house, it includes a vast archive of commercial and open source remote sensing datasets from multiple modalities, including early Pixxel integration. hyperspectral images by the end of 2024.
The platform also offers a marketplace of ready-to-use models and indices in a no-code environment, allowing users to visualize and compare different satellite imagescustomize workflows and quickly deploy analytical models.
Awais Ahmed, CEO of Pixxel, said in a statement: “Aurora is designed to remove the barriers to entry in Earth observation analysis. We have focused on creating a platform that enables users to gain insights faster without spending time figuring out the complex steps of data processing. After nearly a year of beta testing and receiving valuable feedback from our early customers, we are excited to introduce it to the public now.”
It will enable organizations in the agriculture, forestry, mining, technology and energy sectors to use Earth observation data for their specific needs and easily integrate it into their core operations, he said.
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The platform’s indices include the Normalized Difference Vegetation Index (NDVI) to assess vegetation health and monitor crop rotation patterns, the Normalized Difference Water Index (NDWI) to estimate water surface area and monitor flood impacts, and the Oil Spill Index (OSI) to detect and monitor oil spills on water surfaces, crucial for effective pollution and risk mitigation. It offers several models in its marketplace, catering to various industries. These include the Forest Aboveground Biomass Model, which monitors forest health and carbon stocks, and the Water Quality Index Model, which assesses water quality. The Crop Bioparameters Model is designed for precision agriculture, providing insights into crop health. In addition, the Change Detection Model analyses temporal changes to track changes in land use, deforestation, disaster impacts and urban development, producing visual difference maps and quantifying changes over time.
It provides accurate and relevant data for regulatory compliance and business requirements, the company said. It meets diverse needs across different industries and use cases, Pixxel said.
Future updates to Aurora will enhance its capabilities by enabling data fusion across broad areas of interest (AOIs). This will allow users to combine hyperspectral data with other Earth observation datasets and upload ground truth data, providing a more comprehensive analysis, Pixxel said.
Pixxel is preparing to launch six commercial-grade hyperspectral satellites, known as ‘Fireflies’, this year.
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