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Hyperspectral Imager for the Coastal Ocean

March 03, 2023

See also: Hico (disambiguation)

The Hyperspectral Imager for the Coastal Ocean (HICO) was a hyperspectral earth observation sensor that operated on the International Space Station (ISS) from 2009 to 2014. HICO collected hyperspectral satellite imagery of the earth's surface from the ISS.[1][2][3]

Hyperspectral Imager for the Coastal Ocean (HICO) on the International Space Station.

HICO was a pathfinder or proof-of-concept mission for hyperspectral imaging of the oceans, particularly for optically complex coastal waters.[4] The dataset collected by HICO serves as an example dataset for future hyperspectral satellite missions such as PACE.

HICO was mounted directly on the ISS rather than on a separate unmanned satellite platform (i.e., distinct from the MODIS sensor mounted on Aqua and Terra satellites and from SeaWiFS mounted on OrbView-2 aka Seastar satellite). As such, HICO was tasked to collect images of certain regions in sync with the daytime orbit path of the ISS. Further, its data record may contain some gaps in time for operational tasks on board the ISS such as spacewalks and docking.

History

HICO was developed by the United States Office of Naval Research. The sensor was launched on September 10, 2009, from the Tanegashima Space Center in Japan as payload for the ISS on the H-2B-304 rocket (including HTV-1 transfer vehicle). It was installed on September 24, 2009, onto the Japanese Experiment Module Exposed Facility of the Kibo Laboratory (Japanese Kibo complex) of the ISS by two Expedition-20 engineers, ESA astronaut Frank De Winne and NASA astronaut Nicole Stott. HICO was installed concurrently with the RAIDS/Remote Atmospheric and Ionospheric Detection System: together these two systems are referred to as the “HICO and RAIDS Experiment Payload (HREP or HREP-RAIDS).” [5] HICO Collected over 10,000 images during its operating lifetime.[3] Financial support came from the United States Office of Naval Research, the United States Department of Defense, and later from the International Space Station Program.

In summer 2013 HICO data became publicly available [6] and remain freely accessible today.

HICO stopped collecting data in September 2014 when radiation from a solar flare damaged its computer. Attempts to restart the computer were unsuccessful.[7] The last image date and official end of operations was September 13, 2014.

After the end of its lifetime, HICO and RAIDS Experiment Payload (HREP) was removed from the ISS on August 3, 2018, on the SpaceX CRS-15 Dragon space capsule after its July–August 2018 resupply mission. The Dragon's trunk section burned up during re-entry, disposing of the HICO instrument and other contents. The flight that offloaded HICO was the fourth ever round-trip cargo flight with a reused Dragon capsule.[8]

Technical specifications and data products

 
Hyperspectral imagery (right) uses more spectral bands or more colors of light, providing more information to identify different types of terrain.
 
Hyperspectral satellite sensors(right) detect light radiating from earth's surface over the full spectrum of visible light, rather than at a few specific "bands" like RGB or multispectral sensors (left and middle).

Spectral coverage and resolution

HICO uses 128 spectral bands from approximately 353 nm to 1080 nm wavelengths at 5.7 nm spectral resolution (band centers 5.7 nm apart).[3] Data from wavelengths less than 400 nm and greater than 900 nm are not recommended for analysis; 400-900 nm data are higher quality. A 10 nm smoothing filter is applied to wavelengths 400 to 745 nm and a 20 nm filter is applies to wavelengths 746 to 900 nm.[9]

Spatial coverage and resolution

HICO pixels are approximately 90 meters in spatial resolution. Each full scene covers approximately a 42 by 192 km rectangle (varying with altitude and angle). High latitude regions of the earth are not covered. The ISS accomplishes about sixteen 90-minute orbits per day, and the location of the track for orbit moves to the west as earth rotates. The ISS orbit tracks over the same area on the ground about every three days, including nighttime overpasses.[10] However, HICO imaging was limited to collect only one scene per orbit, resulting in about seven to eight daylight scenes per day, often spatially scattered throughout the world.

Radiometric resolution

HICO data have a signal-to-noise ratio of greater than 200-to-1 for water-penetrating wavelengths and assuming 5% albedo. The sensor had high sensitivity in the blue wavelengths and full coverage of water-penetrating wavelengths.[11]

Temporal coverage and resolution

HICO collected satellite imagery from September 25, 2009, to September 13, 2014.[12] A maximum of eight daylight scenes were collected per day. In any specific coastal region where scenes were imaged, temporal resolution is patchy. For example, over Chesapeake Bay on the United States east coast, 101 scenes were collected over the entire 5-year mission, and 16 scenes were imaged during the calendar year 2012.

Data products

HICO datasets, like other hyperspectral satellite datasets, are large in terms of data volume. For example, one HICO scene requires 120 MB to 700 MB of disk space (depending on format and compression). Data are available from NASA Ocean Color Web in HDF file format (similar to netCDF).[9]

Similar sensors

  • Deutsches Zentrum fur Luft–und Raumfahrt German Aerospace Center (DLR) Earth Sensing Imaging Spectrometer (DESIS), installed on the International Space Station. This sensor is the most comparable to HICO because it is both hyperspectral and mounted on the ISS.[13][14]

Other hyperspectral satellite sensors

(partial list)

Other earth science instruments on the ISS

(partial list)

Applications

  • Phytoplankton ecology in general, such as which types of phytoplankton are present in a region of the ocean based on the signature of their pigments and the colors of light those pigments absorb.[20]
  • Detection of harmful algal blooms (HABs) by recognizing unique wavelengths of light being emitted by specific types of plankton blooming in large quantities. For example, HICO imagery has been used in the detection of cyanobacteria blooms in inland waters (such as Lake Erie [21] and Pinto Lake, California [22] and blooms of the ciliate Mesodinium rubrum in Long Island Sound.[23]
  • Mapping bathymetry of shallow waters.[24][25]
  • Dissolved matter photochemistry in coastal waters.[26]
  • Water quality monitoring, including variables such as chlorophyll-a and suspended particulate matter.[27]
  • Maps of terrain, vegetation type, and bottom type.[28]
  • Characterization of the Deepwater Horizon Oil Spill in April 2010, including collecting images from the area around the explosion sites and from nearby marshes to identify unpolluted water, oil-water mixtures, and emulsified oil strands.[29]

See also

References

  1. ^ Lucke, Robert L.; Corson, Michael; McGlothlin, Norman R.; Butcher, Steve D.; Wood, Daniel L.; Korwan, Daniel R.; Li, Rong R.; Snyder, Willliam A.; Davis, Curt O.; Chen, Davidson T. (1 March 2011). "Hyperspectral Imager for the Coastal Ocean: instrument description and first images". Applied Optics. The Optical Society. 50 (11): 1501–1516. Bibcode:2011ApOpt..50.1501L. doi:10.1364/ao.50.001501. ISSN 0003-6935. PMID 21478922.
  2. ^ "HICO". NASA Ocean Color. 25 September 2009. Retrieved 21 September 2021.
  3. ^ a b c "Mission Overview. What is HICO?". NASA Ocean Color. 10 September 2009. Retrieved 21 September 2021.
  4. ^ "Bridging the Gap Between Theoretical and Practical". International Space Station U.S. National Laboratory. 20 October 2017. Retrieved 21 September 2021.
  5. ^ Budzien, Scott (2009). "HICO and RAIDS Experiment Payload - Remote Atmospheric and Ionospheric Detection System (RAIDS)" (PDF). NASA Technical Reports Server (NTRS). Retrieved 22 September 2021.
  6. ^ ""Sensing" a Change to Open Operations for Space Station's HICO Instrument". NASA. 9 July 2013. Retrieved 22 September 2021.
  7. ^ Kelly, Nina Maggi (23 March 2015). "Satellites can be vulnerable to solar storms". IGIS Informatics and GIS. Agriculture and Natural Resources, University of California. Retrieved 22 September 2021.
  8. ^ "SpaceX cargo capsule comes back to Earth from space station – Spaceflight Now". Spaceflight Now – The leading source for online space news. 3 August 2018. Retrieved 22 September 2021.
  9. ^ a b "Sensor and Data Characteristics". NASA Ocean Color. 10 September 2009. Retrieved 22 September 2021.
  10. ^ "Space Station Orbit Tutorial". Gateway to Astronaut Photography of Earth. Retrieved 22 September 2021.
  11. ^ Davis, Curtiss O. (2010). "The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and Data Processing Overview" (PDF). Index of Sensors. International Ocean Colour Coordinating Group (IOCCG). Retrieved 22 September 2021.
  12. ^ "Coastal ocean sensing extended mission". NASA. 30 November 2015. Retrieved 22 September 2021.
  13. ^ Alonso, Kevin; Bachmann, Martin; Burch, Kara; Carmona, Emiliano; Cerra, Daniele; de los Reyes, Raquel; Dietrich, Daniele; Heiden, Uta; Hölderlin, Andreas; Ickes, Jack; Knodt, Uwe; Krutz, David; Lester, Heath; Müller, Rupert; Pagnutti, Mary; Reinartz, Peter; Richter, Rudolf; Ryan, Robert; Sebastian, Ilse; Tegler, Mirco (15 October 2019). "Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)". Sensors. MDPI AG. 19 (20): 4471. Bibcode:2019Senso..19.4471A. doi:10.3390/s19204471. ISSN 1424-8220. PMC 6848940. PMID 31618940.
  14. ^ Müller, R.; Avbelj, J.; Carmona, E.; Eckardt, A.; Gerasch, B.; Graham, L.; Günther, B.; Heiden, U.; Ickes, J.; Kerr, G.; Knodt, U.; Krutz, D.; Krawczyk, H.; Makarau, A.; Miller, R.; Perkins, R.; Walter, I. (3 June 2016). "The New Hyperspectral Sensor Desis on the Multi-Payload Platform Muses Installed on the Iss". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Copernicus GmbH. XLI-B1: 461–467. doi:10.5194/isprsarchives-xli-b1-461-2016. ISSN 2194-9034.
  15. ^ Giardino, Claudia; Bresciani, Mariano; Braga, Federica; Fabbretto, Alice; Ghirardi, Nicola; Pepe, Monica; Gianinetto, Marco; Colombo, Roberto; Cogliati, Sergio; Ghebrehiwot, Semhar; Laanen, Marnix; Peters, Steef; Schroeder, Thomas; Concha, Javier A.; Brando, Vittorio E. (14 August 2020). "First Evaluation of PRISMA Level 1 Data for Water Applications". Sensors. MDPI AG. 20 (16): 4553. Bibcode:2020Senso..20.4553G. doi:10.3390/s20164553. hdl:10281/282791. ISSN 1424-8220. PMC 7471993. PMID 32823847.
  16. ^ Liu, Yin-Nian; Zhang, Jing; Zhang, Ying; Sun, Wei-Wei; Jiao, Lei-Lei; Sun, De-Xin; Hu, Xiao-Ning; Ye, Xiang; Li, Yun-Duan; Liu, Shu-Feng; Cao, Kai-Qin; Chai, Meng-Yang; Zhou, Wei-Yi-Nuo (2019). "The Advanced Hyperspectral Imager: Aboard China's GaoFen-5 Satellite". IEEE Geoscience and Remote Sensing Magazine. Institute of Electrical and Electronics Engineers (IEEE). 7 (4): 23–32. doi:10.1109/mgrs.2019.2927687. ISSN 2168-6831. S2CID 209457158.
  17. ^ Esposito, M.; Zuccaro Marchi, A. (12 July 2019). "In-orbit demonstration of the first hyperspectral imager for nanosatellites". In Karafolas, Nikos; Sodnik, Zoran; Cugny, Bruno (eds.). International Conference on Space Optics — ICSO 2018. SPIE. p. 71. doi:10.1117/12.2535991. ISBN 9781510630772.
  18. ^ "TSIS 1". Gunter's Space Page. Retrieved 23 September 2021.
  19. ^ Hook, Simon (15 May 2019). "Instrument". ECOSTRESS. Retrieved 22 September 2021.
  20. ^ Ryan, John; Davis, Curtiss; Tufillaro, Nicholas; Kudela, Raphael; Gao, Bo-Cai (27 January 2014). "Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA". Remote Sensing. MDPI AG. 6 (2): 1007–1025. Bibcode:2014RemS....6.1007R. doi:10.3390/rs6021007. ISSN 2072-4292.
  21. ^ O'Shea, Ryan E.; Pahlevan, Nima; Smith, Brandon; Bresciani, Mariano; Egerton, Todd; Giardino, Claudia; Li, Lin; Moore, Tim; Ruiz-Verdu, Antonio; Ruberg, Steve; Simis, Stefan G.H.; Stumpf, Richard; Vaičiūtė, Diana (2021). "Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery". Remote Sensing of Environment. Elsevier BV. 266: 112693. Bibcode:2021RSEnv.266k2693O. doi:10.1016/j.rse.2021.112693. ISSN 0034-4257.
  22. ^ Kudela, Raphael M.; Palacios, Sherry L.; Austerberry, David C.; Accorsi, Emma K.; Guild, Liane S.; Torres-Perez, Juan (2015). "Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters". Remote Sensing of Environment. Elsevier BV. 167: 196–205. Bibcode:2015RSEnv.167..196K. doi:10.1016/j.rse.2015.01.025. ISSN 0034-4257.
  23. ^ Dierssen, Heidi; McManus, George B.; Chlus, Adam; Qiu, Dajun; Gao, Bo-Cai; Lin, Senjie (16 November 2015). "Space station image captures a red tide ciliate bloom at high spectral and spatial resolution". Proceedings of the National Academy of Sciences. 112 (48): 14783–14787. Bibcode:2015PNAS..11214783D. doi:10.1073/pnas.1512538112. ISSN 0027-8424. PMC 4672822. PMID 26627232.
  24. ^ Garcia, Rodrigo A.; Fearns, Peter R.C.S.; McKinna, Lachlan I.W. (2014). "Detecting trend and seasonal changes in bathymetry derived from HICO imagery: A case study of Shark Bay, Western Australia". Remote Sensing of Environment. Elsevier BV. 147: 186–205. Bibcode:2014RSEnv.147..186G. doi:10.1016/j.rse.2014.03.010. hdl:20.500.11937/24033. ISSN 0034-4257.
  25. ^ Lewis, David; Gould, Richard W.; Weidemann, Alan; Ladner, Sherwin; Lee, Zhongping (3 June 2013). "Bathymetry estimations using vicariously calibrated HICO data". In Hou, Weilin W.; Arnone, Robert A. (eds.). Ocean Sensing and Monitoring V. Vol. 8724. SPIE. pp. 87240N. doi:10.1117/12.2017864.
  26. ^ Cao, Fang; Mishra, Deepak R.; Schalles, John F.; Miller, William L. (2018). "Evaluating ultraviolet (UV) based photochemistry in optically complex coastal waters using the Hyperspectral Imager for the Coastal Ocean (HICO)". Estuarine, Coastal and Shelf Science. Elsevier BV. 215: 199–206. Bibcode:2018ECSS..215..199C. doi:10.1016/j.ecss.2018.10.013. ISSN 0272-7714.
  27. ^ Braga, Federica; Giardino, Claudia; Bassani, Cristiana; Matta, Erica; Candiani, Gabriele; Strömbeck, Niklas; Adamo, Maria; Bresciani, Mariano (2013). "Assessing water quality in the northern Adriatic Sea from HICO™ data". Remote Sensing Letters. Informa UK Limited. 4 (10): 1028–1037. doi:10.1080/2150704x.2013.830203. ISSN 2150-704X. S2CID 122545559.
  28. ^ Bachmann, Charles M.; Nichols, C. Reid.; Montes, Marcos J.; Fusina, Robert A.; Fry, John C.; Li, Rong-Rong; Gray, Deric; Korwan, Daniel; Parrish, Christopher; Sellars, Jon; White, Stephen A.; Woolard, Jason; Lee, Krista; McConnon, Cecilia; Wende, Jon (2010). "Coastal Characterization from Hyperspectral Imagery". Imaging and Applied Optics Congress. Washington, D.C.: OSA. pp. OMD2. doi:10.1364/orse.2010.omd2. ISBN 978-1-55752-892-6.
  29. ^ Leifer, Ira; Lehr, William J.; Simecek-Beatty, Debra; Bradley, Eliza; Clark, Roger; Dennison, Philip; Hu, Yongxiang; Matheson, Scott; Jones, Cathleen E.; Holt, Benjamin; Reif, Molly; Roberts, Dar A.; Svejkovsky, Jan; Swayze, Gregg; Wozencraft, Jennifer (2012). "State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill". Remote Sensing of Environment. Elsevier BV. 124: 185–209. Bibcode:2012RSEnv.124..185L. doi:10.1016/j.rse.2012.03.024. ISSN 0034-4257.

External links

  • HICO data access via NASA ocean color website
  • Hyperspectral Data for Land and Coastal Systems, training by NASA ARSET, including use of HICO data

March 03, 2023
hyperspectral, imager, coastal, ocean, also, hico, disambiguation, hico, hyperspectral, earth, observation, sensor, that, operated, international, space, station, from, 2009, 2014, hico, collected, hyperspectral, satellite, imagery, earth, surface, from, hico,. See also Hico disambiguation The Hyperspectral Imager for the Coastal Ocean HICO was a hyperspectral earth observation sensor that operated on the International Space Station ISS from 2009 to 2014 HICO collected hyperspectral satellite imagery of the earth s surface from the ISS 1 2 3 Hyperspectral Imager for the Coastal Ocean HICO on the International Space Station HICO was a pathfinder or proof of concept mission for hyperspectral imaging of the oceans particularly for optically complex coastal waters 4 The dataset collected by HICO serves as an example dataset for future hyperspectral satellite missions such as PACE HICO was mounted directly on the ISS rather than on a separate unmanned satellite platform i e distinct from the MODIS sensor mounted on Aqua and Terra satellites and from SeaWiFS mounted on OrbView 2 aka Seastar satellite As such HICO was tasked to collect images of certain regions in sync with the daytime orbit path of the ISS Further its data record may contain some gaps in time for operational tasks on board the ISS such as spacewalks and docking Contents 1 History 2 Technical specifications and data products 2 1 Spectral coverage and resolution 2 2 Spatial coverage and resolution 2 3 Radiometric resolution 2 4 Temporal coverage and resolution 2 5 Data products 3 Similar sensors 3 1 Other hyperspectral satellite sensors 3 2 Other earth science instruments on the ISS 4 Applications 5 See also 6 References 7 External linksHistory EditHICO was developed by the United States Office of Naval Research The sensor was launched on September 10 2009 from the Tanegashima Space Center in Japan as payload for the ISS on the H 2B 304 rocket including HTV 1 transfer vehicle It was installed on September 24 2009 onto the Japanese Experiment Module Exposed Facility of the Kibo Laboratory Japanese Kibo complex of the ISS by two Expedition 20 engineers ESA astronaut Frank De Winne and NASA astronaut Nicole Stott HICO was installed concurrently with the RAIDS Remote Atmospheric and Ionospheric Detection System together these two systems are referred to as the HICO and RAIDS Experiment Payload HREP or HREP RAIDS 5 HICO Collected over 10 000 images during its operating lifetime 3 Financial support came from the United States Office of Naval Research the United States Department of Defense and later from the International Space Station Program In summer 2013 HICO data became publicly available 6 and remain freely accessible today HICO stopped collecting data in September 2014 when radiation from a solar flare damaged its computer Attempts to restart the computer were unsuccessful 7 The last image date and official end of operations was September 13 2014 After the end of its lifetime HICO and RAIDS Experiment Payload HREP was removed from the ISS on August 3 2018 on the SpaceX CRS 15 Dragon space capsule after its July August 2018 resupply mission The Dragon s trunk section burned up during re entry disposing of the HICO instrument and other contents The flight that offloaded HICO was the fourth ever round trip cargo flight with a reused Dragon capsule 8 Technical specifications and data products Edit Hyperspectral imagery right uses more spectral bands or more colors of light providing more information to identify different types of terrain Hyperspectral satellite sensors right detect light radiating from earth s surface over the full spectrum of visible light rather than at a few specific bands like RGB or multispectral sensors left and middle Spectral coverage and resolution Edit HICO uses 128 spectral bands from approximately 353 nm to 1080 nm wavelengths at 5 7 nm spectral resolution band centers 5 7 nm apart 3 Data from wavelengths less than 400 nm and greater than 900 nm are not recommended for analysis 400 900 nm data are higher quality A 10 nm smoothing filter is applied to wavelengths 400 to 745 nm and a 20 nm filter is applies to wavelengths 746 to 900 nm 9 Spatial coverage and resolution Edit HICO pixels are approximately 90 meters in spatial resolution Each full scene covers approximately a 42 by 192 km rectangle varying with altitude and angle High latitude regions of the earth are not covered The ISS accomplishes about sixteen 90 minute orbits per day and the location of the track for orbit moves to the west as earth rotates The ISS orbit tracks over the same area on the ground about every three days including nighttime overpasses 10 However HICO imaging was limited to collect only one scene per orbit resulting in about seven to eight daylight scenes per day often spatially scattered throughout the world Radiometric resolution Edit HICO data have a signal to noise ratio of greater than 200 to 1 for water penetrating wavelengths and assuming 5 albedo The sensor had high sensitivity in the blue wavelengths and full coverage of water penetrating wavelengths 11 Temporal coverage and resolution Edit HICO collected satellite imagery from September 25 2009 to September 13 2014 12 A maximum of eight daylight scenes were collected per day In any specific coastal region where scenes were imaged temporal resolution is patchy For example over Chesapeake Bay on the United States east coast 101 scenes were collected over the entire 5 year mission and 16 scenes were imaged during the calendar year 2012 Data products Edit HICO datasets like other hyperspectral satellite datasets are large in terms of data volume For example one HICO scene requires 120 MB to 700 MB of disk space depending on format and compression Data are available from NASA Ocean Color Web in HDF file format similar to netCDF 9 Similar sensors EditDeutsches Zentrum fur Luft und Raumfahrt German Aerospace Center DLR Earth Sensing Imaging Spectrometer DESIS installed on the International Space Station This sensor is the most comparable to HICO because it is both hyperspectral and mounted on the ISS 13 14 Other hyperspectral satellite sensors Edit partial list Hyperion launched aboard the Earth Observing 1 EO 1 spacecraft in 2000 Compact High Resolution Imaging Spectrometer CHRIS on PROBA 1 in 2001 Scanning Imaging Absorption Spectrometer for Atmospheric Chartography SCIAMACHY on ENVISAT from 2002 to 2012 PRecursore IperSpettrale della Missione Applicativa PRISMA launched 2019 by the Italian Space Agency 15 Advanced Hyperspectral Imager AHSI onboard China s GaoFen 5 satellite 16 in 2018 Hyperspectral Imaging Satellite HySIS launched from India in 2018 HyperScout instruments launched on nanosatellites 17 Planned Ocean Color Instrument OCI on the Plankton Aerosols Clouds and ocean Ecosystems PACE satelliteOther earth science instruments on the ISS Edit partial list ISS RapidScat which operated from 2014 to 2016 Total and Spectral Solar Irradiance Sensor 1 TSIS 1 which was installed in 2013 18 SAGE III installed in 2017 Lightning Imaging Sensor LIS installed in 2017 Global Ecosystem Dynamics Investigation GEDI full waveform LIDAR installed in 2018 ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station ECOSTRESS instrument 19 which was delivered to the ISS on the same mission that offloaded HICO in 2018 Orbiting Carbon Observatory 3 OCO 3 installed in 2019 Applications EditPhytoplankton ecology in general such as which types of phytoplankton are present in a region of the ocean based on the signature of their pigments and the colors of light those pigments absorb 20 Detection of harmful algal blooms HABs by recognizing unique wavelengths of light being emitted by specific types of plankton blooming in large quantities For example HICO imagery has been used in the detection of cyanobacteria blooms in inland waters such as Lake Erie 21 and Pinto Lake California 22 and blooms of the ciliate Mesodinium rubrum in Long Island Sound 23 Mapping bathymetry of shallow waters 24 25 Dissolved matter photochemistry in coastal waters 26 Water quality monitoring including variables such as chlorophyll a and suspended particulate matter 27 Maps of terrain vegetation type and bottom type 28 Characterization of the Deepwater Horizon Oil Spill in April 2010 including collecting images from the area around the explosion sites and from nearby marshes to identify unpolluted water oil water mixtures and emulsified oil strands 29 See also Edit Earth sciences portal Spaceflight portal Oceans portalEarth observation satellite Hyperspectral imaging Imaging spectroscopy International Space Station Kibo ISS module Ocean color Plankton Aerosol Cloud ocean Ecosystem Scientific research on the International Space StationReferences Edit Lucke Robert L Corson Michael McGlothlin Norman R Butcher Steve D Wood Daniel L Korwan Daniel R Li Rong R Snyder Willliam A Davis Curt O Chen Davidson T 1 March 2011 Hyperspectral Imager for the Coastal Ocean instrument description and first images Applied Optics The Optical Society 50 11 1501 1516 Bibcode 2011ApOpt 50 1501L doi 10 1364 ao 50 001501 ISSN 0003 6935 PMID 21478922 HICO NASA Ocean Color 25 September 2009 Retrieved 21 September 2021 a b c Mission Overview What is HICO NASA Ocean Color 10 September 2009 Retrieved 21 September 2021 Bridging the Gap Between Theoretical and Practical International Space Station U S National Laboratory 20 October 2017 Retrieved 21 September 2021 Budzien Scott 2009 HICO and RAIDS Experiment Payload Remote Atmospheric and Ionospheric Detection System RAIDS PDF NASA Technical Reports Server NTRS Retrieved 22 September 2021 Sensing a Change to Open Operations for Space Station s HICO Instrument NASA 9 July 2013 Retrieved 22 September 2021 Kelly Nina Maggi 23 March 2015 Satellites can be vulnerable to solar storms IGIS Informatics and GIS Agriculture and Natural Resources University of California Retrieved 22 September 2021 SpaceX cargo capsule comes back to Earth from space station Spaceflight Now Spaceflight Now The leading source for online space news 3 August 2018 Retrieved 22 September 2021 a b Sensor and Data Characteristics NASA Ocean Color 10 September 2009 Retrieved 22 September 2021 Space Station Orbit Tutorial Gateway to Astronaut Photography of Earth Retrieved 22 September 2021 Davis Curtiss O 2010 The Hyperspectral Imager for the Coastal Ocean HICO Sensor and Data Processing Overview PDF Index of Sensors International Ocean Colour Coordinating Group IOCCG Retrieved 22 September 2021 Coastal ocean sensing extended mission NASA 30 November 2015 Retrieved 22 September 2021 Alonso Kevin Bachmann Martin Burch Kara Carmona Emiliano Cerra Daniele de los Reyes Raquel Dietrich Daniele Heiden Uta Holderlin Andreas Ickes Jack Knodt Uwe Krutz David Lester Heath Muller Rupert Pagnutti Mary Reinartz Peter Richter Rudolf Ryan Robert Sebastian Ilse Tegler Mirco 15 October 2019 Data Products Quality and Validation of the DLR Earth Sensing Imaging Spectrometer DESIS Sensors MDPI AG 19 20 4471 Bibcode 2019Senso 19 4471A doi 10 3390 s19204471 ISSN 1424 8220 PMC 6848940 PMID 31618940 Muller R Avbelj J Carmona E Eckardt A Gerasch B Graham L Gunther B Heiden U Ickes J Kerr G Knodt U Krutz D Krawczyk H Makarau A Miller R Perkins R Walter I 3 June 2016 The New Hyperspectral Sensor Desis on the Multi Payload Platform Muses Installed on the Iss ISPRS International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Copernicus GmbH XLI B1 461 467 doi 10 5194 isprsarchives xli b1 461 2016 ISSN 2194 9034 Giardino Claudia Bresciani Mariano Braga Federica Fabbretto Alice Ghirardi Nicola Pepe Monica Gianinetto Marco Colombo Roberto Cogliati Sergio Ghebrehiwot Semhar Laanen Marnix Peters Steef Schroeder Thomas Concha Javier A Brando Vittorio E 14 August 2020 First Evaluation of PRISMA Level 1 Data for Water Applications Sensors MDPI AG 20 16 4553 Bibcode 2020Senso 20 4553G doi 10 3390 s20164553 hdl 10281 282791 ISSN 1424 8220 PMC 7471993 PMID 32823847 Liu Yin Nian Zhang Jing Zhang Ying Sun Wei Wei Jiao Lei Lei Sun De Xin Hu Xiao Ning Ye Xiang Li Yun Duan Liu Shu Feng Cao Kai Qin Chai Meng Yang Zhou Wei Yi Nuo 2019 The Advanced Hyperspectral Imager Aboard China s GaoFen 5 Satellite IEEE Geoscience and Remote Sensing Magazine Institute of Electrical and Electronics Engineers IEEE 7 4 23 32 doi 10 1109 mgrs 2019 2927687 ISSN 2168 6831 S2CID 209457158 Esposito M Zuccaro Marchi A 12 July 2019 In orbit demonstration of the first hyperspectral imager for nanosatellites In Karafolas Nikos Sodnik Zoran Cugny Bruno eds International Conference on Space Optics ICSO 2018 SPIE p 71 doi 10 1117 12 2535991 ISBN 9781510630772 TSIS 1 Gunter s Space Page Retrieved 23 September 2021 Hook Simon 15 May 2019 Instrument ECOSTRESS Retrieved 22 September 2021 Ryan John Davis Curtiss Tufillaro Nicholas Kudela Raphael Gao Bo Cai 27 January 2014 Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay CA USA Remote Sensing MDPI AG 6 2 1007 1025 Bibcode 2014RemS 6 1007R doi 10 3390 rs6021007 ISSN 2072 4292 O Shea Ryan E Pahlevan Nima Smith Brandon Bresciani Mariano Egerton Todd Giardino Claudia Li Lin Moore Tim Ruiz Verdu Antonio Ruberg Steve Simis Stefan G H Stumpf Richard Vaiciute Diana 2021 Advancing cyanobacteria biomass estimation from hyperspectral observations Demonstrations with HICO and PRISMA imagery Remote Sensing of Environment Elsevier BV 266 112693 Bibcode 2021RSEnv 266k2693O doi 10 1016 j rse 2021 112693 ISSN 0034 4257 Kudela Raphael M Palacios Sherry L Austerberry David C Accorsi Emma K Guild Liane S Torres Perez Juan 2015 Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters Remote Sensing of Environment Elsevier BV 167 196 205 Bibcode 2015RSEnv 167 196K doi 10 1016 j rse 2015 01 025 ISSN 0034 4257 Dierssen Heidi McManus George B Chlus Adam Qiu Dajun Gao Bo Cai Lin Senjie 16 November 2015 Space station image captures a red tide ciliate bloom at high spectral and spatial resolution Proceedings of the National Academy of Sciences 112 48 14783 14787 Bibcode 2015PNAS 11214783D doi 10 1073 pnas 1512538112 ISSN 0027 8424 PMC 4672822 PMID 26627232 Garcia Rodrigo A Fearns Peter R C S McKinna Lachlan I W 2014 Detecting trend and seasonal changes in bathymetry derived from HICO imagery A case study of Shark Bay Western Australia Remote Sensing of Environment Elsevier BV 147 186 205 Bibcode 2014RSEnv 147 186G doi 10 1016 j rse 2014 03 010 hdl 20 500 11937 24033 ISSN 0034 4257 Lewis David Gould Richard W Weidemann Alan Ladner Sherwin Lee Zhongping 3 June 2013 Bathymetry estimations using vicariously calibrated HICO data In Hou Weilin W Arnone Robert A eds Ocean Sensing and Monitoring V Vol 8724 SPIE pp 87240N doi 10 1117 12 2017864 Cao Fang Mishra Deepak R Schalles John F Miller William L 2018 Evaluating ultraviolet UV based photochemistry in optically complex coastal waters using the Hyperspectral Imager for the Coastal Ocean HICO Estuarine Coastal and Shelf Science Elsevier BV 215 199 206 Bibcode 2018ECSS 215 199C doi 10 1016 j ecss 2018 10 013 ISSN 0272 7714 Braga Federica Giardino Claudia Bassani Cristiana Matta Erica Candiani Gabriele Strombeck Niklas Adamo Maria Bresciani Mariano 2013 Assessing water quality in the northern Adriatic Sea from HICO data Remote Sensing Letters Informa UK Limited 4 10 1028 1037 doi 10 1080 2150704x 2013 830203 ISSN 2150 704X S2CID 122545559 Bachmann Charles M Nichols C Reid Montes Marcos J Fusina Robert A Fry John C Li Rong Rong Gray Deric Korwan Daniel Parrish Christopher Sellars Jon White Stephen A Woolard Jason Lee Krista McConnon Cecilia Wende Jon 2010 Coastal Characterization from Hyperspectral Imagery Imaging and Applied Optics Congress Washington D C OSA pp OMD2 doi 10 1364 orse 2010 omd2 ISBN 978 1 55752 892 6 Leifer Ira Lehr William J Simecek Beatty Debra Bradley Eliza Clark Roger Dennison Philip Hu Yongxiang Matheson Scott Jones Cathleen E Holt Benjamin Reif Molly Roberts Dar A Svejkovsky Jan Swayze Gregg Wozencraft Jennifer 2012 State of the art satellite and airborne marine oil spill remote sensing Application to the BP Deepwater Horizon oil spill Remote Sensing of Environment Elsevier BV 124 185 209 Bibcode 2012RSEnv 124 185L doi 10 1016 j rse 2012 03 024 ISSN 0034 4257 External links EditHICO data access via NASA ocean color website Hyperspectral Data for Land and Coastal Systems training by NASA ARSET including use of HICO data Retrieved from https en wikipedia org w index php title Hyperspectral Imager for the Coastal Ocean amp oldid 1142040393, wikipedia, wiki, book, books, library,

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