{"id":937299,"date":"2026-02-17T12:02:38","date_gmt":"2026-02-17T17:02:38","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/eaglenxt-micasense-rededge-p-triple-sensor-array-drives-advanced-climate-research\/"},"modified":"2026-02-17T12:02:38","modified_gmt":"2026-02-17T17:02:38","slug":"eaglenxt-micasense-rededge-p-triple-sensor-array-drives-advanced-climate-research","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/eaglenxt-micasense-rededge-p-triple-sensor-array-drives-advanced-climate-research\/","title":{"rendered":"EagleNXT MicaSense\u2122 RedEdge-P Triple Sensor Array Drives Advanced Climate Research\u00a0"},"content":{"rendered":"
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\n Superspectral 15-Band Analysis Supporting Forest Research by Shizuoka University in Japan\u2019s Southern Alps<\/i>\n <\/p>\n

\n ALLEN, Texas, Feb. 17, 2026 (GLOBE NEWSWIRE) — <\/strong>AgEagle Aerial Systems Inc. (dba, EagleNXT) (the \u201cCompany\u201d or \u201cEagleNXT\u201d) (NYSE: UAVS), a leading provider of full stack drone, sensors and software solutions for customers worldwide in the commercial and government verticals, today announced the sale of a MicaSense\u2122<\/sup> RedEdge-P Green sensor to Shizuoka University, completing the University\u2019s MicaSense\u2122<\/sup> RedEdge-P Triple sensor package with 15 narrow, scientifically targeted spectral bands.<\/p>\n

Professor Atsuhiro Iio, Faculty of Agriculture, Forest Science and Bioresource Sciences at Shizuoka University, first acquired a RedEdge-P Dual in 2024 to map the diverse vegetation mosaic of the Minami Alps Biosphere Reserve in Southern Japan. His 2025 research documented measurable shifts in leaf-flushing phenology and drought-induced physiological stress linked to regional warming.<\/p>\n

The EagleNXT MicaSense\u2122<\/sup> RedEdge-P Triple sensor\u2019s 15-band configuration will be used by the University researchers to develop reliable airborne Photochemical Reflectance Index (PRI) measurements, together with enhanced tracking of carotenoid, anthocyanin and chlorophyll-a dynamics associated with vegetative senescence and short-term stress.<\/p>\n

\u201cIn addition to conventional vegetation indices such as NDVI, we consider it necessary to incorporate indices related to light stress, including the Photochemical Reflectance Index (PRI),\u201d said Professor Iio. \u201cThis was the motivation for introducing the Green camera. Beyond phenological monitoring, we also expect this approach to enable early detection of stress-sensitive tree species.\u201d<\/p>\n

The Triple configuration provides researchers with airborne PRI readings with excellent signal-to-noise ratio at 2 cm\/pixel resolution, a capability that previously required either ground-based leaf-level instruments or expensive hyperspectral systems.<\/p>\n

\u201cThe RedEdge-P Triple is now the most accessible superspectral sensor tool on the market,\u201d said Bill Irby, CEO of EagleNXT. \u201cFifteen narrow bands in a lightweight, drone-ready package provides affordable capability for universities to conduct their advanced research.\u201d<\/p>\n

The RedEdge-P Triple\u2019s 15-band configuration supplies rich, multi-temporal datasets for machine-learning applications, including automated detection of weeds, emerging diseases and blight, capabilities increasingly critical for both academic ecology and precision forestry. Users are also able to observe in detail the processes that drive forest health, carbon sequestration and climate adaptation.<\/p>\n

The RedEdge-P Dual and Triple systems are already trusted worldwide for monitoring:<\/p>\n