Metaspectral

ASTER: Advanced Spaceborne Thermal Emission and Reflection Radiometer Like the sun, Earth also emits energy -- but this energy cannot be seen. Instead, it can be felt as heat because it is emitted in the thermal infrared range. The emissivity of most natural Earth surfaces is a unitless quantity, and surfaces with emissivities less than 0.85 are typically restricted to deserts and semi-arid areas. Vegetation, water and ice have high emissivities, above 0.95 in the thermal infrared wavelength range. NASA Jet Propulsion Laboratory (JPL) and California Institute of Technology has developed the ASTER GED product, which provides 11 layer data cubes with 100m GSD. If you're looking for thermal emissivity data spanning the full globe, this is your resource. You can access the data here: asterweb.jpl.nasa.gov/data.asp

OPTICA: Metaspectral’s Own Space-borne Hyperspectral Imager It’s been 2 years in the making, but we’re finally here! We’re excited to announce that OPTICA, Metaspectral’s own payload built in collaboration with HySpeed Computing and Nanoracks (now @voyagerspace_), is ready for launch. It’s scheduled to go to the International Space Station (ISS) on Northrop Grumman’s NG-21 commercial cargo resupply mission this Saturday, 3rd of August 2024. Liftoff time is scheduled at 8.28am PT. As a technology demonstrator, OPTICA is carrying a state-of-the-art hyperspectral sensor (VNIR with 224 spectral bands) and Metaspectral’s payload computers, able to capture, compress and stream hyperspectral data losslessly. We have developed a proprietary implementation of the CCSDS-123-b-2 standard, which lets us compress hyperspectral data up to 60% losslessly, and up to 90% in the near-lossless configuration. In addition to the main mission of space qualifying our technology, we will also be capturing data for two main purposes: quantifying wildfire risk, as well as trying to detect plastics in oceans. We will be sharing more updates as we downlink data in the next few weeks. If you are looking for an efficient compression technology for your hyperspectral hardware, please get in touch with us here, or DM me (make sure to include a bit about your needs in the Message field): metaspectral.com/contact/

Insights by Metaspectral: Powerful Hyperspectral Data Analysis with AI In our numerous conversations with customers, we’ve learned that analyzing hyperspectral imagery remains a significant challenge for many organizations. We're filling this gap today. We’re excited to announce the launch of our new service: Insights by Metaspectral. Insights is designed to unlock the full potential of hyperspectral data for your specific needs. Key features of Insights: - Flexible Data Sourcing: Bring your own data or let Metaspectral acquire it for you. We can source hyperspectral imagery from satellites, aerial platforms, field scans, or laboratory equipment. - Customized In-Depth Analysis: Our team of experts will conduct a thorough analysis tailored to your unique use case, extracting valuable insights from the complex hyperspectral data. - Comprehensive Results Delivery: Access your results through our advanced Fusion platform, and receive a detailed PDF report summarizing key findings and actionable insights. Whether you’re in mining, agriculture, environmental monitoring, or any field wanting to leverage hyperspectral technology, Insights offers a unique service to transform raw data into valuable business intelligence. Let Metaspectral’s expertise in hyperspectral data analysis drive your decision-making and innovation. Contact us today to learn how Insights can benefit your organization. Get in touch with us here: metaspectral.com/contact/

Extracting insights from hyperspectral imagery remains a task for PhDs and researchers. Why is this the case? Spectroscopy, also known as spectral analysis, is a scientific technique used to study the interaction between matter and light. It involves analyzing the spectrum of light or other radiation emitted, absorbed, or scattered by different materials. How can we make the barrier to entry lower, so that anyone is able to extract insights from this highly advanced data type? Over the past year, we have integrated the advances of AI into Metaspectral Fusion, and now you can literally talk to your hyperspectral image to extract insights! We're excited for our public release of Fusion AI in two weeks time. Stay tuned for further updates! Join our Discord to be in the first to get access: discord.gg/VJjKuqXu

One of the clearest technology inflections that is happening right in front of us is the rise of hyperspectral sensing. Unlike in traditional colour cameras, hyperspectral sensors capture reflection of light in continuous wavelengths, thereby providing a "spectral signature". This spectral signature provides information of the underlying chemical composition of the object or the material being imaged, thereby providing a "chemical fingerprint" which is unique. In the coming decade, we'll see hyperspectral sensors getting widely adopted, from industrial process monitoring in factories to Earth observation via satellites. We at Metaspectral have spent the past three years developing software for managing, processing and analyzing this data type. Our software platform, Metaspectral Fusion, can be deployed anywhere, on-premise or in the cloud, for real-time analysis of hyperspectral data. Check out our platform here: fusion.metaspectral.com/sandbox

Introducing Metaspectral Fusion. Explore the power of hyperspectral imagery. Cloud-native, AI enabled: fusion.metaspectral.com/sandbox

Congratulations to the SpectraCan team at @metaspectral_ for reaching the semi-finals of the @xprize Wildfire Space-Based Detection & Intelligence competition: lnkd.in/g6f7sXNq

Congratulations to this year's recipients of IMII's #InnovationAward - @Polycontrols for Most Novel Innovation and @metaspectral_ for Most Actionable Innovation. Learn more at Innovation Award – International Minerals Innovation Institute (imii.ca).

Metaspectral is introducing its Ore Resource Evaluation System, which uses AI to automate the sampling process. @metaspectral_ #Mining #MiningNews #GMR #AI #Automation globalminingreview.com/mining/2805202…

Metaspectral and Armada look to unlock real-time AI analysis of hyperspectral imagery @metaspectral_ @armada_ai #electronics #hyperspectral #artificialintelligence #sensors newelectronics.co.uk/content/news/m…

Metaspectral Advances to Semifinals of Global Competition Innovating Wildfire Tech ⁦@metaspectral_⁩ @xprize #bctech techcouver.com/2024/04/17/met…