Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems

Frank Muller-karger (Corresponding Author), Erin Hestir, Christiana Ade, Kevin Turpie, Dar A Roberts, David Siegel, Robert J. Miller, David Humm, Noam Izenberg, Mary Keller, Frank Morgan, Robert Frouin, Arnold G. Dekker, Royal Gardner, James Goodman, Blake Schaeffer, Bryan A. Franz, Nima Pahlevan, Antonio G. Mannino, Javier A. ConchaSteven G Ackleson, Kyle C. Cavanaugh, Anastasia Romanou, Maria Tzortziou, Emmanuel S. Boss, Ryan Pavlick, Anthony Freeman, Cecile S. Rousseaux, John Dunne, Matthew C. Long, Eduardo Klein, Galen A. McKinley, Ricardo Letlier, Maria Kavanaugh, Joachim Goes, Mitchell Roffer, Astrid Bracher, Kevin R. Arrigo, Heidi Dierssen, Xiaodong Zhang, Frank W. Davis, Ben Best, Robert Guralnick, John Moisan, Heidi M. Sosik, Raphael Kudela, Colleeen B. Mouw, Andrew H. Barnard, Sherry Palacios, Collin Roesler, E.G. Drakou, Ward Appeltans, Walter Jetz

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Abstract

The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications.

Original languageEnglish
Pages (from-to)749-760
Number of pages12
JournalEcological applications
Volume28
Issue number3
DOIs
Publication statusPublished - Apr 2018

Fingerprint

satellite sensor
biodiversity
habitat
monitoring
food provisioning
dissolved matter
calibration
digitization
atmospheric correction
vegetation
habitat fragmentation
linearity
spectral resolution
open ocean
seagrass
ecosystem service
signal-to-noise ratio
field survey
coastal zone
particulate matter

Keywords

  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-HYBRID
  • Coastal zone
  • Ecology
  • Wetland
  • Hyperspectral
  • Remote sensing
  • Vegetation
  • Essential biodiversity variables
  • Aquatic
  • H4 imaging
  • UT-Hybrid-D

Cite this

Muller-karger, F., Hestir, E., Ade, C., Turpie, K., Roberts, D. A., Siegel, D., ... Jetz, W. (2018). Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems. Ecological applications, 28(3), 749-760. https://doi.org/10.1002/eap.1682
Muller-karger, Frank ; Hestir, Erin ; Ade, Christiana ; Turpie, Kevin ; Roberts, Dar A ; Siegel, David ; Miller, Robert J. ; Humm, David ; Izenberg, Noam ; Keller, Mary ; Morgan, Frank ; Frouin, Robert ; Dekker, Arnold G. ; Gardner, Royal ; Goodman, James ; Schaeffer, Blake ; Franz, Bryan A. ; Pahlevan, Nima ; Mannino, Antonio G. ; Concha, Javier A. ; Ackleson, Steven G ; Cavanaugh, Kyle C. ; Romanou, Anastasia ; Tzortziou, Maria ; Boss, Emmanuel S. ; Pavlick, Ryan ; Freeman, Anthony ; Rousseaux, Cecile S. ; Dunne, John ; Long, Matthew C. ; Klein, Eduardo ; McKinley, Galen A. ; Letlier, Ricardo ; Kavanaugh, Maria ; Goes, Joachim ; Roffer, Mitchell ; Bracher, Astrid ; Arrigo, Kevin R. ; Dierssen, Heidi ; Zhang, Xiaodong ; Davis, Frank W. ; Best, Ben ; Guralnick, Robert ; Moisan, John ; Sosik, Heidi M. ; Kudela, Raphael ; Mouw, Colleeen B. ; Barnard, Andrew H. ; Palacios, Sherry ; Roesler, Collin ; Drakou, E.G. ; Appeltans, Ward ; Jetz, Walter. / Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems. In: Ecological applications. 2018 ; Vol. 28, No. 3. pp. 749-760.
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abstract = "The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2{\%}, relative calibration of 0.2{\%}, polarization sensitivity <1{\%}, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications.",
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Muller-karger, F, Hestir, E, Ade, C, Turpie, K, Roberts, DA, Siegel, D, Miller, RJ, Humm, D, Izenberg, N, Keller, M, Morgan, F, Frouin, R, Dekker, AG, Gardner, R, Goodman, J, Schaeffer, B, Franz, BA, Pahlevan, N, Mannino, AG, Concha, JA, Ackleson, SG, Cavanaugh, KC, Romanou, A, Tzortziou, M, Boss, ES, Pavlick, R, Freeman, A, Rousseaux, CS, Dunne, J, Long, MC, Klein, E, McKinley, GA, Letlier, R, Kavanaugh, M, Goes, J, Roffer, M, Bracher, A, Arrigo, KR, Dierssen, H, Zhang, X, Davis, FW, Best, B, Guralnick, R, Moisan, J, Sosik, HM, Kudela, R, Mouw, CB, Barnard, AH, Palacios, S, Roesler, C, Drakou, EG, Appeltans, W & Jetz, W 2018, 'Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems', Ecological applications, vol. 28, no. 3, pp. 749-760. https://doi.org/10.1002/eap.1682

Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems. / Muller-karger, Frank (Corresponding Author); Hestir, Erin; Ade, Christiana; Turpie, Kevin; Roberts, Dar A; Siegel, David; Miller, Robert J.; Humm, David; Izenberg, Noam; Keller, Mary; Morgan, Frank; Frouin, Robert; Dekker, Arnold G. ; Gardner, Royal; Goodman, James; Schaeffer, Blake; Franz, Bryan A. ; Pahlevan, Nima; Mannino, Antonio G. ; Concha, Javier A. ; Ackleson, Steven G ; Cavanaugh, Kyle C.; Romanou, Anastasia; Tzortziou, Maria; Boss, Emmanuel S. ; Pavlick, Ryan; Freeman, Anthony; Rousseaux, Cecile S.; Dunne, John; Long, Matthew C.; Klein, Eduardo; McKinley, Galen A. ; Letlier, Ricardo; Kavanaugh, Maria; Goes, Joachim; Roffer, Mitchell; Bracher, Astrid; Arrigo, Kevin R. ; Dierssen, Heidi; Zhang, Xiaodong; Davis, Frank W.; Best, Ben; Guralnick, Robert; Moisan, John; Sosik, Heidi M. ; Kudela, Raphael; Mouw, Colleeen B.; Barnard, Andrew H. ; Palacios, Sherry; Roesler, Collin; Drakou, E.G.; Appeltans, Ward ; Jetz, Walter.

In: Ecological applications, Vol. 28, No. 3, 04.2018, p. 749-760.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems

AU - Muller-karger, Frank

AU - Hestir, Erin

AU - Ade, Christiana

AU - Turpie, Kevin

AU - Roberts, Dar A

AU - Siegel, David

AU - Miller, Robert J.

AU - Humm, David

AU - Izenberg, Noam

AU - Keller, Mary

AU - Morgan, Frank

AU - Frouin, Robert

AU - Dekker, Arnold G.

AU - Gardner, Royal

AU - Goodman, James

AU - Schaeffer, Blake

AU - Franz, Bryan A.

AU - Pahlevan, Nima

AU - Mannino, Antonio G.

AU - Concha, Javier A.

AU - Ackleson, Steven G

AU - Cavanaugh, Kyle C.

AU - Romanou, Anastasia

AU - Tzortziou, Maria

AU - Boss, Emmanuel S.

AU - Pavlick, Ryan

AU - Freeman, Anthony

AU - Rousseaux, Cecile S.

AU - Dunne, John

AU - Long, Matthew C.

AU - Klein, Eduardo

AU - McKinley, Galen A.

AU - Letlier, Ricardo

AU - Kavanaugh, Maria

AU - Goes, Joachim

AU - Roffer, Mitchell

AU - Bracher, Astrid

AU - Arrigo, Kevin R.

AU - Dierssen, Heidi

AU - Zhang, Xiaodong

AU - Davis, Frank W.

AU - Best, Ben

AU - Guralnick, Robert

AU - Moisan, John

AU - Sosik, Heidi M.

AU - Kudela, Raphael

AU - Mouw, Colleeen B.

AU - Barnard, Andrew H.

AU - Palacios, Sherry

AU - Roesler, Collin

AU - Drakou, E.G.

AU - Appeltans, Ward

AU - Jetz, Walter

PY - 2018/4

Y1 - 2018/4

N2 - The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications.

AB - The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications.

KW - ITC-ISI-JOURNAL-ARTICLE

KW - ITC-HYBRID

KW - Coastal zone

KW - Ecology

KW - Wetland

KW - Hyperspectral

KW - Remote sensing

KW - Vegetation

KW - Essential biodiversity variables

KW - Aquatic

KW - H4 imaging

KW - UT-Hybrid-D

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/isi/drakou_sat.pdf

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