BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20211210T155024Z UID:7BC9E448-15FE-4B6A-9BE5-F0773E2D0C98 DTSTART;TZID=US/Eastern:20211208T180000 DTEND;TZID=US/Eastern:20211208T190000 DESCRIPTION:Earth’s oceans are the largest defining feature of our planet and arguably an invaluable resource. Consequences of climate change threa ten to have substantial and irreversible negative effects on our oceans\, making it crucial to quickly understand and quantify behavioral changes re sulting from increased human impact. Near-continuous\, large-scale monitor ing from space is revolutionizing methods for monitoring and forecasting o cean behavior. Nanosatellite platforms offer a potential solution for larg e-scale deployment of ocean-sensing instruments that provide detailed meas urements of critical characteristics. M​onitoring these key features pro vides valuable insight to behavioral changes within the context of our shi fting climate.\n\nConstellations of nanosatellites that target key ocean c haracteristics could provide continuous ocean monitoring with high spatiot emporal resolution. Compared with current state-of-the-art ocean-observing spacecraft\, such as NASA’s Moderate Resolution Imaging Spectroradiomet er (MODIS) with a repeat cycle of 16 days\, nanosatellites in Low-Earth Or bit (LEO) can observe the same ground scene roughly once every five days. While spacecraft such as NASA’s Geostationary Operational Environmental Satellite (GOES) achieves high temporal resolution\, imaging the same scen e every 30 seconds to 15 minutes depending on target region size\, they ar e limited to imaging a single ground scene due to their stationary placeme nt. Constellations of nanosatellites offer opportunities for measurement i mprovement including reducing revisit rates down from several days to hour s\, as well as increasing surface coverage through placement in orbital pl anes of varying inclinations.\n\nInformative\, emergent information such a s sea surface salinity\, front location\, and fauna concentrations (namely phytoplankton) are derived from measuring key characteristics such as oce an color and Sea Surface Temperature (SST). Existing nanosatellite constel lations such as Planet’s Flock-3p\, composed of 88 3U (10 x 10 x 30 cm ​ ) CubeSats\, provide daily coverage of Earth’s land mass\; however\, they do not yet target oceans and coastal regions\, nor tailor their imag ing bands for these specific measurement needs. We present a concise set o f ocean measurement band centers for an imaging payload targeting ocean co lor\, a key behavioral feature. We assume narrow-band (10 - 15 nm bandwidt h) ocean color measurements (​390 nm - 865 nm) and constrain the payload to within the volume of a U-class (3U / 6U / 12U) nanosatellite located i n LEO ​(~ 450 km altitude)​. A radiometric link approach is used to de velop a tool that compares the performance of multiple different available Commercial Off-the-Shelf (COTS) detectors\, as well as different detector and optical front-end combinations. As detector sensitivity performance i s driven primarily by aperture size and focal length\, the imaging payload is assumed to have a scalable aperture (e.g.\, diameter\, focal length) a nd tunable sensor parameters (e.g.\, pixel pitch\, number of pixels\, sens or format). We simulate the sensor’s performance primarily by scaling th e aperture from 0.5 cm to 20 cm diameter\, suitable for 0.5U - 12U CubeSat volumes. Simulation results determine key “cut-off” regions where col lected data no longer achieve the desired measured sensitivity of the targ et feature. A discussion of the radiometric approach\, including definitio n of the measurement and detector parameter trade-space\, is provided\, al ong with preliminarily results of the simulated performance.\n\nCo-sponsor ed by: Life Members\n\nSpeaker(s): Candence Brea Payne\, \n\nVirtual: http s://events.vtools.ieee.org/m/265365 LOCATION:Virtual: https://events.vtools.ieee.org/m/265365 ORGANIZER:fscire@icloud.com SEQUENCE:11 SUMMARY:“Simulating the Performance of Ocean-Observing Imaging Payloads f or Nanosatellites” URL;VALUE=URI:https://events.vtools.ieee.org/m/265365 X-ALT-DESC:Description: <br /><p>Earth&rsquo\;s oceans are the largest defi ning feature of our planet and arguably an invaluable resource. Consequenc es of climate change threaten to have substantial and irreversible negativ e effects on our oceans\, making it crucial to quickly understand and quan tify behavioral changes resulting from increased human impact. Near-contin uous\, large-scale monitoring from space is revolutionizing methods for mo nitoring and forecasting ocean behavior. Nanosatellite platforms offer a p otential solution for large-scale deployment of ocean-sensing instruments that provide detailed measurements of critical characteristics. M​onitor ing these key features provides valuable insight to behavioral changes wit hin the context of our shifting climate.</p>\n<p>Constellations of nanosat ellites that target key ocean characteristics could provide continuous oce an monitoring with high spatiotemporal resolution. Compared with current s tate-of-the-art ocean-observing spacecraft\, such as NASA&rsquo\;s Moderat e Resolution Imaging Spectroradiometer (MODIS) with a repeat cycle of 16 d ays\, nanosatellites in Low-Earth Orbit (LEO) can observe the same ground scene roughly once every five days. While spacecraft such as NASA&rsquo\;s Geostationary Operational Environmental Satellite (GOES) achieves high te mporal resolution\, imaging the same scene every 30 seconds to 15 minutes depending on target region size\, they are limited to imaging a single gro und scene due to their stationary placement. Constellations of nanosatelli tes offer opportunities for measurement improvement including reducing rev isit rates down from several days to hours\, as well as increasing surface coverage through placement in orbital planes of varying inclinations.</p> \n<p>Informative\, emergent information such as sea surface salinity\, fro nt location\, and fauna concentrations (namely phytoplankton) are derived from measuring key characteristics such as ocean color and Sea Surface Tem perature (SST). Existing nanosatellite constellations such as Planet&rsquo \;s Flock-3p\, composed of 88 3U (10 x 10 x 30 cm​ ) CubeSats\, provide daily coverage of Earth&rsquo\;s land mass\; however\, they do not yet tar get oceans and coastal regions\, nor tailor their imaging bands for these specific measurement needs. We present a concise set of ocean measurement band centers for an imaging payload targeting ocean color\, a key behavior al feature. We assume narrow-band (10 - 15 nm bandwidth) ocean color measu rements (​390 nm - 865 nm) and constrain the payload to within the volum e of a U-class (3U / 6U / 12U) nanosatellite located in LEO ​(~ 450 km a ltitude)​. A radiometric link approach is used to develop a tool that co mpares the performance of multiple different available Commercial Off-the- Shelf (COTS) detectors\, as well as different detector and optical front-e nd combinations. As detector sensitivity performance is driven primarily b y aperture size and focal length\, the imaging payload is assumed to have a scalable aperture (e.g.\, diameter\, focal length) and tunable sensor pa rameters (e.g.\, pixel pitch\, number of pixels\, sensor format). We simul ate the sensor&rsquo\;s performance primarily by scaling the aperture from 0.5 cm to 20 cm diameter\, suitable for 0.5U - 12U CubeSat volumes. Simul ation results determine key &ldquo\;cut-off&rdquo\; regions where collecte d data no longer achieve the desired measured sensitivity of the target fe ature. A discussion of the radiometric approach\, including definition of the measurement and detector parameter trade-space\, is provided\, along w ith preliminarily results of the simulated performance.</p> END:VEVENT END:VCALENDAR