Metaspectral

We're holding a webinar next week to showcase the application of Metaspectral's hyperspectral AI to the world of mineral exploration. Reserve your spot here! https://lnkd.in/ghAU8FNv

Join us for an exclusive webinar on September 25, 2024! Discover how our collaboration with SpecTIR LLC unlocks critical analytical insights on ultra-high-resolution hyperspectral imagery. Together, we're making hyperspectral data more accessible than ever before. What You'll Learn: * Innovative Solutions: How we're leveraging AI models and large language models to simplify spectral analysis. * Industry Impact: The benefits for sectors like agriculture, mining, defense, and environmental science. * Future Technologies: A sneak peek into upcoming products that will set new industry standards. Don't miss this opportunity to engage with industry experts and get your questions answered during our live Q&A session. 👉 Reserve your spot now: https://lnkd.in/gv9jMHPz

We're ready to unveil our software to all of you. Register for our upcoming webinar here: https://lnkd.in/g6zS5dJz

We're transforming the way carbon sequestration is measured in agricultural lands. By developing precise and cost-efficient AI models, we aim to unlock the full carbon sequestration potential of agricultural land worldwide, tackling a key challenge in the fight against climate change. Our hyperspectral AI software is powering applications from manufacturing, to agriculture and space Together, let's make a difference. 🌻 Learn more: https://lnkd.in/gb_iHWrS #MMV #AI #hyperspectral #CarbonSequestration #Sustainability #AgTech

🌟 We are pleased to share that SpecTIR LLC is embarking on a collaborative venture with Metaspectral!   SpecTIR, with over 25 years of experience in hyperspectral and geospatial solutions, is partnering with Metaspectral, a leader in AI and cloud-native software. This collaboration will integrate SpecTIR’s hyperspectral data solutions with Metaspectral’s Fusion AI Platform to create an interactive Sandbox. This Sandbox allows users to explore SpecTIR data collected near Yerington, Nevada within the Fusion AI environment. Our goal is to enhance the use of hyperspectral data by combining AI technologies with SpecTIR’s expertise. We invite you to explore the joint Sandbox project at: 🔗 https://lnkd.in/gY8VRE6S Stay tuned for our upcoming webinar, where we'll provide a demonstration and instruction for effective use of the Sandbox. Additionally, we’ll offer detailed documentation to help users navigate the Sandbox. #Hyperspectral #AIforAnalytics #FutureOfData #Metaspectral #SpecTIR

We're excited to introduce a collaborative venture with SpecTIR LLC. Explore a Vis-SWIR data cube of the Yerington area in Nevada in our joint Spectral Sandbox here: https://lnkd.in/gY8VRE6S

BREAKING: Our payload specially designed for live hyperspectral streaming from space, OPTICA, is now spaceborne! Stay tuned for rendez-vous with the ISS on the wee hours of August 6, and installation on Voyager Space's External Platform (NREP) shortly thereafter. Metaspectral's mission is to demonstrate hyperspectral insights in real-time. Given that a single scene can be ~1GB in size, that is no easy feat! Godspeed OPTICA!

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 Voyager Space), 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):  https://lnkd.in/gwaTX9Sh

We're excited to launch our new offering: 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. Get in touch with us here: https://lnkd.in/gShpaaVS

Technical Note: Atmospheric compensation (or more generally, atmospheric correction) is a technique that is used to remove the artifacts introduced by the atmosphere when light travels through it. This is especially important in hyperspectral imaging, where continuous bands are captured for a given wavelength range. In fact, this is the primary way that we would convert a radiance datacube into a reflectance datacube. Some prominent algorithms here are QUAC (Quick Atmospheric Correction) and FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes). But the downside of these two algorithms? They are patented, and you need to pay to access it. A great alternative is "Second Simulation of the Satellite Signal in the Solar Spectrum (6S)" library. This is the European equivalent of MODTRAN, and is freely available. Even better, it comes with Python bindings on the "Py6S - A Python interface to 6S" library. Access it here: https://lnkd.in/gYCF2dCx PS: Join Metaspectral's Discord community for anything to do with hyperspectral data: https://lnkd.in/gEqVX_mS