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![]() by Staff Writers Vienna VA (SPX) Nov 08, 2022
Spire Global, Inc. (NYSE: SPIR) has unveiled a dark shipping detection solution to track vessels that manipulate their reported position in order to conceal nefarious activities. The Automatic Identification System (AIS) on a vessel helps avoid collisions at sea, track global shipping trends and monitor individual vessel activity; but crew members on board can manipulate the system by turning off the transponder to go dark or 'spoofing' the AIS to report false positions. Typically, this is done in order to hide activity that is illegal or could have negative consequences to the ship owner, such as illegal trading, loading or unloading sanctioned goods, or illegal, unreported and unregulated (IUU) fishing. Spire's near real-time, global geolocation position validation service can uncover suspicious activity and pinpoint a vessel without the need for an approximate location. The applications are critical to governments, intelligence and security agencies, and nonprofit organizations' efforts to identify and locate vessels that are breaking international law. "For a long time, having the tools to accurately identify and track ships that are attempting to hide their activities or location has been the missing key to preventing sanctions evasion, illegal fishing, human trafficking and many more pressing societal issues," said Peter Mabson, CEO, Spire Maritime. "Dark shipping detection builds on our breadth of maritime tracking solutions and underscores Spire's mission to use data that can only be collected from space to improve life on Earth." Spire operates the world's largest multipurpose constellation with more than 100 satellites. The company plans to launch additional products in 2023 for geolocation and identification of dark targets, at sea, on land, and in the air. Learn more at https://insights.spire.com/maritime/dark-shipping-detection.
![]() ![]() Ground Survey Datasets Released to Validate Satellite-based Remote Sensing Data Beijing, China (SPX) Nov 07, 2022 Recently, the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS) has released the second batch of ground survey datasets through its Common Application support Platform for Land Observation Satellite (CAPLOS), which can be downloaded for free by the users who registered on the website: http://caplos.aircas.ac.cn Based on the datasets released earlier, which consist of typical datasets such as soil moisture, surface reflectance, leaf area index, water remote s ... read more
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