Scott Jewell’s Post

𝗥𝗮𝗶𝗻𝗯𝗼𝘄𝘀 𝗶𝗻 𝘁𝗵𝗲 𝘀𝗸𝘆… 𝗮𝗻𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗻𝗱? While reviewing satellite imagery, we stumbled upon this stunning “rainbow airplane”! But don’t let your eyes deceive you - this isn’t a technicolor jetliner flying over farmland; it’s a fascinating artifact created by the TDI (Time-Delay Integration) nature of MSI sensors. Here’s what happened: ⏺  Multi-Spectral Imagery (MSI) sensors capture scenes in multiple spectral bands—each at a slightly different moment in time. ⏺  If a vehicle (like this airplane) is moving during image acquisition, the sensor records its position in each spectral band at different locations. ⏺  The result? A rainbow effect that looks like something straight out of a dream! This colorful glitch is a reminder of the incredible technology behind satellite imagery and how movement in dynamic scenes can create unexpected results. #RemoteSensing #SatelliteImagery #ScienceInAction #EarthObservation #RainbowAirplane #GeospatialTech #Geospatial #GIS

𝗨𝘀𝗲 𝗼𝗳 𝗡𝗲𝘂𝗿𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝗰 𝗖𝗮𝗺𝗲𝗿𝗮𝘀 𝗳𝗼𝗿 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗚𝗡𝗦𝗦   Inspired by the way the human retina works, NILEQ neuromorphic cameras don’t capture a series of images, but instead track changes in brightness across the sensor’s individual pixels. This generates far less data and operates at much higher speeds than a conventional camera. These cameras are ideal for environments without reliable Global Navigation Satellite Systems (GNSS) and where processing power is limited.   𝗔 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽: 𝗡𝗲𝘂𝗿𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝗰 𝗖𝗮𝗺𝗲𝗿𝗮𝘀 𝗮𝗻𝗱 𝗜𝗠𝗨𝘀   Combining Inertial Measurement Units (IMUs) with Neuromorphic camera data using sensor fusion, creates a robust navigation system capable of operating in environments where GNSS is unavailable. The technology tracks precise "terrain fingerprints" by analyzing brightness changes, comparing them against pre-loaded satellite imagery databases to correct IMU accuracy drift. The approach offers significant benefits: minimal computational overhead, low power consumption, and the ability to navigate in challenging environments.   𝗙𝗿𝗼𝗺 𝗘𝗮𝗿𝘁𝗵 𝘁𝗼 𝗦𝗽𝗮𝗰𝗲: 𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻 𝗛𝗼𝗿𝗶𝘇𝗼𝗻𝘀   Currently developed for drone navigation, this technology shows immense promise for space exploration. Potential applications include aerial navigation on the Moon and Mars where GNSS is not reliably available. The challenge for planetary surface navigation is converting aerial satellite imagery into a format that rovers can use to identify surface landmarks   Chris Shaw of Advanced Navigation states: “This approach of using the neuromorphic camera alongside low-cost, inexpensive inertial sensors, provides a big cost and size benefit.” The companies are planning to start flight trials of the neuromorphic navigation system later this year, with the goal of getting the product into customers hands by the middle of 2025.   Image: NILEQ neuromorphic sensor matching a terrain fingerprint   #NeuromorphicCameras #NeuromorphicNavigation #DroneNavigation #GNSSAlternative

What is the intensity of the ongoing dust event affecting Cyprus? Check below the remote sensing observations of the Cyprus Atmospheric Observatory #duststorm #lidar #sunphotometer

Launched less than two months ago, ESA’s EarthCARE satellite has already returned images from two of its four instruments. Now, it has also delivered the first images from its multispectral imager, showcasing various types of clouds and cloud temperatures worldwide. This instrument is set to add valuable context to the data from EarthCARE’s other instruments. Equipped with four state-of-the-art instruments – a cloud profiling radar, an atmospheric lidar, a broadband radiometer and a multispectral imager – EarthCARE makes a range of different measurements simultaneously. Together, these measurements will help to understand how clouds and aerosols reflect incoming solar energy back out to space and how they trap outgoing infrared energy. This information is crucial for understanding how climate change is affecting Earth’s energy balance and for predicting the rate at which clouds and aerosols could lose their current overall cooling effect in the future. EarthCARE was launched into orbit around Earth on 29 May. A mere month later, this remarkable satellite returned the first images from the cloud profiling radar, shortly followed by the first images from the broadband radiometer. #ESA #Clouds #EarthCARE This image shows a thunderstorm north of Naples in Italy on 17 July from the instrument’s thermal-infrared band. The top of this storm cloud was about –50°C and that the land below was about 30°C. The thermal-infrared part also picks out the surrounding lower clouds, particularly over the Adriatic Sea, much better than the true-colour image. (ESA)

It's Day 2 of #WorldSpaceWeek! 🚀 We are celebrating the transformative impact of space technology on our lives, emphasizing the proactive role Earth Observation plays in enhancing our understanding and management of Earth’s climate. The Teledyne Space Imaging team are working on a number of #space missions that are helping to monitor environmental shifts and formulating strategies to mitigate the impacts of climate change. Equipped with four instruments, the Earth Cloud Aerosol and Radiation Explorer (EarthCARE) satellite mission has been designed to make a range of different measurements that together will shed new light on the role that clouds and aerosols play in regulating Earth’s climate Teledyne e2v provided sensors: Custom CCD243 for the Atmospheric LIDAR (ATLID) instrument. The Atmospheric Lidar (ATLID) provides vertical profiles of aerosols and thin clouds. It operates at a wavelength of 355 nm and has a high-spectral resolution receiver and depolarisation channel. #WSW2024 #WorldSpaceWeek #SpaceMatters #WSW #Space4Climate #WorldSpaceWeek2024 #EarthObservation #EarthCAREsatellite #EarthCARE

What if the future of Positioning, Navigation, and Timing (PNT) could revolutionize our world? Join us as we explore this exciting frontier with Adam Price from Spirent Communications. Adam takes us through the groundbreaking PNT X platform, a sixth-generation simulator designed to address the growing complexities in PNT technology. We dive into the critical role of Global Navigation Satellite Systems (GNSS) and the emerging necessity for complementary solutions, including low Earth orbit (LEO) capabilities. Discover how Spirent is pioneering modular and flexible simulators that seamlessly integrate with technologies like LiDAR and radar. Ever wondered how PNT systems can stay resilient against threats like spoofing, jamming, and interference? Adam explains how PNT X enables commercial customers to simulate these threats and test their countermeasures in controlled environments. We discuss the challenges of urban settings and the importance of building robust systems from the ground up. Listen as we delve into the integration of LEO-based signals and the growing interest in lunar applications, which are essential for enhancing system robustness in both commercial and defense sectors. Looking ahead, the future of PNT simulation technology is brimming with potential. We discuss innovative programs like LunaNet and Moonlight, which aim to establish navigation infrastructure on and around the moon. Adam highlights the importance of flexible radio and signal generation technologies in this experimental phase and the role of 3D modeling capabilities in realistic simulations. As we wrap up, we express our gratitude to Adam and his team for their invaluable contributions to the industry and recommend following Spirant on social media for more exceptional insights and updates. #PNT #GNSS #GPS #satcomm #SpirentAmbassador #ad #GNSS #PNT #Simulation Spirent Positioning, Navigation, and Timing https://bit.ly/3B2qlJ7

🔍 Tracking Space Debris: A Vital Tool for Orbital Safety & Sustainability As the amount of debris in our orbit continues to grow, tracking these objects has become crucial for maintaining a safe space environment. 🛰️ From ground-based radar and optical systems to satellite-based sensors, a variety of technologies are currently in use to monitor and predict the movements of space debris. These technologies help prevent collisions by providing valuable data for collision avoidance maneuvers. While certain sizes of debris are currently difficult to track, rapid advancements in AI and machine learning are leading to the development of new methods to improve the accuracy and efficiency of debris tracking. What do you think about our current tracking capabilities? Let us know in the comments below! #CleanOrbitFoundation #SpaceDebris #DebrisTracking

Here’s an example of the progression of raw digital numbers to non-uniformity-corrected imagery and, finally, flicker-compensated imagery for a single dark scene. This represents an essential step for calibrating satellite imaging sensors. #remotesensing #earthobservation #spacetechnology #satellite #newspace #smallsat #satellitedata #spacetech #cubesat #satelliteimagery

Our latest blog post of the 'Ask Maya about Nature' series delves into the fundamentals of satellite remote sensing (SRS) and unravels the differences between LiDAR, MODIS, GEDI, and all the other abbreviations flowing around in that space! 🛰️ To deepen your knowledge, we've created our own taxonomy that starts by outlining broader, more generalised categories and principles of remote sensing and then narrows down to specific examples of satellites and their equipment. Read the blog post here and download our remote sensing guide! https://lnkd.in/enBgkwN8 --- The blog post covers the following topics: 🌌 What is remote sensing? 🔎 Satellite Remote Sensing (SRS) Taxonomy 🌞 A Satellite's Energy Source: Passive vs. Active 👀 Exploring Data Acquisition Methods 🛰️ Satellites and their Sensors & Instruments 🗺️ Utilising Remote Sensing for Assessing Natural Assets: Exemplary Datasets 🐝 Geospatial Analysis on Maya #AskMaya #YourGeospatialAnalyst #GIS #GenAI #GeospatialProcessAutomation #NaturebasedSolutions #NaturalCapital

An example of the progression of raw digital numbers to non-uniformity-corrected imagery and, finally, flicker-compensated imagery for a single dark scene. This represents an essential step for calibrating satellite imaging sensors. #remotesensing #earthobservation #spacetechnology #satellite #newspace #smallsat #satellitedata #spacetech #cubesat #satelliteimagery