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1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline Physical principles behind the remote sensing of ocean color parameters Satellite sensors enabling remote sensing of ocean color SeaWiFS, OCTS, MODIS, GLI Instrument characteristics Spacecraft, spatial resolution, swath width, sensor characteristics, and unique characteristics Ocean color monitoring from existing satellite systems Future capabilities Opportunities for the future

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Page 1: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Applications of Remote Sensing: SeaWiFS and MODIS Ocean ColorApplications of Remote Sensing:

SeaWiFS and MODIS Ocean Color

Outline Physical principles behind the remote sensing of

ocean color parameters Satellite sensors enabling remote sensing of

ocean color–SeaWiFS, OCTS, MODIS, GLI

Instrument characteristics–Spacecraft, spatial resolution, swath width, sensor characteristics, and unique characteristics

Ocean color monitoring from existing satellite systems

Future capabilities Opportunities for the future

Page 2: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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“Course” spatial resolution (i.e., >1 km) but frequent temporal resolution (i.e., every other day)–Low marine biomass/high primary production–Marine primary production poorly understood–Single satellite with wide field of view (i.e.,CZCS and SeaWiFS)»Highly variable atmospheric effects»Variable directional reflectance effects»Forming composite images is the key

–Coastal Zone Color Scanner (1979-1986)–SeaWiFS (August 1997 › …)–MODIS (February 2000 › …)

Ocean Color Time Series Remote Sensing

Page 3: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Applications Ocean Color Studies — all channels Atmospheric Studies (clouds, aerosols) — all channels Land Vegetation Index — all channels Cryosphere Studies — all channels

Objectives To determine the spatial and temporal distributions of

phytoplankton blooms, along with the magnitude and variability of primary production by marine phytoplankton on a global scale

To quantify the ocean’s role in the global carbon cycle and other biogeochemical cycles

To identify and quantify the relationships between ocean physics and large-scale patterns of productivity

Sea-viewing Wide Field of View Sensor

Page 4: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Radiative Accuracy: <5% absolute each band Relative Precision: <1% linearity Between Band <5% relative band-to-band

Precision: (over 0.5 - 0.9 full scale) Polarization: <2% sensitivity (all angles) Nadir Resolution: 1.1 km LAC, 4.5 km GAC

Orbit Type: Sun synchronous at 750 km Equator Crossing: Noon ± 20 minutes descending Saturation Recovery: <10 samples Swath Width 2,801 km LAC

(at equator) 1,502 km GAC Scan Plane Tilt +20°, 0°, -20° Digitization: 10 bits

SeaWiFS Mission Characteristics and Sensor Accuracy

Page 5: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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OrbView-2 Satellite and SeaWiFS Scanning

GeometryLaunched August 1, 1997

Page 6: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Sea-viewing Wide Field-of-view Sensor (SeaWiFS)

NASA, OrbView-2– launched August 1997– descending polar orbit of

705 km, noon crossing time Sensor Characteristics

– eight spectral bands, from 412 to 865 nm

– daily global coverage– scan angle of ±58.3°; scan

swath of 2800 km– ±20° tilt to avoid sun glint– resolution of 1.13 km (with

optional 4.5 km) at nadir– solar and lunar maneuvers

for calibration– polarization sensitivity ≤

1%

Page 7: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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SeaWiFS Instrument Schematic

Page 8: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Rayleigh Scattering Coefficients for the Eight SeaWiFS Channels

Page 9: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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OrbView-2 Launch Sequence and Satellite with Solar Panels

Deployed

Page 10: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Simulated Pigment Absorption and Chlorophyll-a versus Total

Pigments Ca

– chlorophyll-a Cb

– chlorophyll-b Cc

– chlorophyll-c Cps

– photosynthetic carotenoids

Cpp

– photoprotectant carotenoids

Ctp – total pigment

concentration, a sum of all the other parameters

Page 11: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Simulated Pigment Absorption and Chlorophyll-a versus Total

Pigments

Page 12: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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July 1998

Correlation of AVHRR Sea Surface Temperature and Chlorophyll-a

Concentration

Page 13: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Galapagos Islands El Niño/La Niña Transitions

Page 14: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

14Ocean: Chlorophyll-a ConcentrationLand: Normalized Difference Vegetation Index

SeaWiFS Captures El Niño/La Niña Transitions in the

Equatorial Pacific

Page 15: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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April 25, 1998

Coccolithophore Bloom in the Bering

Sea

Page 16: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Chlorophyll and SeaWiFS-derived NDVI September-November 1997

Page 17: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Chlorophyll and SeaWiFS-derived NDVI December 1997 - February 1998

Page 18: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Chlorophyll and SeaWiFS-derived NDVI March-May 1998

Page 19: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Chlorophyll and SeaWiFS-derived NDVI May-August 1998

Page 20: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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Moderate Resolution Imaging Spectroradiometer (MODIS) on

Terra

MODIS

Terra

Page 21: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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MODIS Ocean Color/Phytoplankton Bands

BandBandwidthSpectral RadianceRequired SNR

8 405 - 420 44.9 8809 438 - 448 41.9 83810 483 - 493 32.1 80211 526 - 536 27.9 75412 546 - 556 21.0 75013 662 - 672 9.5 91014 673 - 683 8.7 108715 743 - 753 10.2 58616 862 - 877 6.2 516

Page 22: 1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite

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6 years of Seawifs data 6 years of Seawifs data seawifs.gsfc.nasa.govseawifs.gsfc.nasa.gov