S. Ackleson

发表

Remote sensing of submerged aquatic vegetation in lower chesapeake bay: A comparison of Landsat MSS to TM imagery

Steven G. Ackleson, Vytautas Klemas, V. Klemas, 1987 .

Response of water‐leaving radiance to particulate calcite and chlorophyll a concentrations: A model for Gulf of Maine coccolithophore blooms

W. Balch, P. Holligan, S. Ackleson, 1994 .

A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications.

Alison P. Chase, E. Boss, K. Casey, 2019, Earth system science data.

Spatial scales of optical variability in the coastal ocean: Implications for remote sensing and in situ sampling

C. Hostetler, J. Hair, W. Moses, 2016 .

2. Hyperspectral Imager for the Coastal Ocean on the International Space Station

Ellen J. Wagner, B. Gao, M. Montes, 2015 .

Biological and optical properties of mesoscale coccolithophore blooms in the Gulf of Maine

W. Balch, K. Voss, P. Holligan, 1991 .

Statistics for the evaluation and comparison of models

Robert E. Davis, D. Legates, C. Willmott, 1985 .

Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems

Walter Jetz, Robert Frouin, Maria Tzortziou, 2018, Ecological applications : a publication of the Ecological Society of America.

A line in the sea

William M. Balch, Steven G. Ackleson, Richard T. Barber, 1994, Nature.

A method to measure marine particle aggregate disruption in situ

S. Ackleson, M. Rau, 2020, Limnology and Oceanography: Methods.

An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing.

Maria Tzortziou, Dariusz Stramski, P Jeremy Werdell, 2018, Progress in oceanography.

Autonomous Coral Reef Survey in Support of Remote Sensing

Brandon J. Russell, W. Moses, S. Ackleson, 2017, Front. Mar. Sci..

IOCCG Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor ValidationInherent Optical Property Measurements and Protocols: Best Practices for the Collection and Processing of Ship-Based Underway Flow-Through Optical Data (v4.0)

Alison P. Chase, E. Boss, W. Slade, 2019 .

Light in shallow waters: A brief research review

Steven G. Ackleson, S. Ackleson, 2003 .

Effects of turbulent aggregation on clay floc breakup and implications for the oceanic environment

S. Ackleson, M. Rau, Geoffrey B. Smith, 2018, PloS one.

In situ high spectral resolution inherent and apparent optical property data from diverse aquatic environments

Alison P. Chase, E. Boss, K. Casey, 2019 .

Irradiance-induced variability in light scatter from marine phytoplankton in culture

M. Lesser, J. Cullen, S. Ackleson, 1993 .

White Waters of the Gulf of Maine

W. Balch, S. Ackleson, Holligan, 1988 .

Earth observations during Space Shuttle mission STS-45 Mission to Planet Earth - March 24-April 2, 1992

M. F. Mckay, Charles F. Bolden, C. M. Foale, 1992 .

Spring phytoplankton blooms in the absence of vertical water column stratification

M. D. Keller, M. Sieracki, S. Ackleson, 1992, Nature.

Diffuse attenuation in optically-shallow water: effects of bottom reflectance

Steven G. Ackleson, S. Ackleson, 1997, Other Conferences.

Remote Sensing of Coral Reefs: Uncertainty in the Detection of Benthic Cover, Depth, and Water Constituents Imposed by Sensor Noise

Marcos J. Montes, Wesley J. Moses, Steven G. Ackleson, 2018, Applied Sciences.

Natural Oil Slicks in the Gulf of Mexico Visible From Space

Steven G. Ackleson, James M. Brooks, Norman L. Guinasso, 1993 .

Spectroscopy for global observation of coastal and inland aquatic habitats

David R. Thompson, Samantha J. Lavender, Heidi M. Dierssen, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

On the spatial scales of a river plume

E. Levine, S. Ackleson, J. O'donnell, 2008 .

AVHRR observations of a Gulf of Maine coccolithophore bloom

P. Holligan, S. Ackleson, 1989 .

Comparison of remote sensing algorithms for retrieval of suspended particulate matter concentration from reflectance in coastal waters

W. J. Rhea, Lauren A. Freeman, Steven G. Ackleson, 2017 .

Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook

K. Joyce, H. Dierssen, S. Ackleson, 2021, Frontiers in Environmental Science.

Size and refractive index of individual marine participates: a flow cytometric approach.

S. Ackleson, R W Spinrad, S G Ackleson, 1988, Applied optics.

Optical determinations of suspended sediment dynamics in western Long Island Sound and the Connecticut River plume

S. Ackleson, 2006 .

How many spectral bands are necessary to describe the directional reflectance of beach sands?

Marcos J. Montes, Charles M. Bachmann, Robert A. Fusina, 2016, SPIE Defense + Security.

Ocean Optics Research at the Start of the 21st Century

S. Ackleson, 2001 .

Start of the 21 st Century

S. Ackleson, 2007 .

Small‐scale variability in suspended matter associated with the Connecticut River plume front

S. Ackleson, J. O’Donnell, 2011 .

Blooms of the coccolithophore Emiliania huxleyi with respect to hydrography in the Gulf of Maine

M. D. Keller, W. Balch, P. Holligan, 1994 .

CHARACTERIZATION OF LIGHT EXTINCTION AND ATTENUATION IN CHESAPEAKE BAY, AUGUST, 1977

S. Ackleson, M. Champ, W. Bozzo, 1980 .

An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing.

L. McKinna, Xiaodong Zhang, E. Boss, 2018, Progress in oceanography.

Two-flow simulation of the natural light field within a canopy of submerged aquatic plants.

V. Klemas, S. Ackleson, 1986, Applied optics.

Earth observations on Space Shuttle Flight 43 - It was a dirty world

C. Evans, M. Wilkinson, K. Lulla, 1992 .

Phytoplankton optical properties: flow cytometric examinations of dilution-induced effects.

C. M. Yentsch, S. Ackleson, R. Spinrad, 1988, Applied optics.

A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications.

Alison P. Chase, E. Boss, K. Casey, 2019, Earth system science data.