Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Paul Martinolich"'
Autor:
Mark D. Lewis, Brittney Jarreau, Jason Jolliff, Sherwin Ladner, Timothy A. Lawson, Sean McCarthy, Paul Martinolich, Marcos Montes
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5359 (2023)
An increasing number of commercial nanosatellite-based Earth-observing sensors are providing high-resolution images for much of the coastal ocean region. Traditionally, to improve the accuracy of normalized water-leaving radiance (nLw) estimates, sen
Externí odkaz:
https://doaj.org/article/e609ad17981f4e8498b9ac16292c0983
Autor:
Sean McCarthy, Summer Crawford, Christopher Wood, Mark D. Lewis, Jason K. Jolliff, Paul Martinolich, Sherwin Ladner, Adam Lawson, Marcos Montes
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 3, p 660 (2023)
Here we present a machine-learning-based method for utilizing traditional ocean-viewing satellites to perform automated atmospheric correction of nanosatellite data. These sensor convolution techniques are required because nanosatellites do not usual
Externí odkaz:
https://doaj.org/article/e8cd6d243f554acd89b9272b43ca21b9
Autor:
Adam Lawson, Jennifer Bowers, Sherwin Ladner, Richard Crout, Christopher Wood, Robert Arnone, Paul Martinolich, David Lewis
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2673 (2021)
The satellite validation navy tool (SAVANT) was developed by the Naval Research Laboratory to help facilitate the assessment of the stability and accuracy of ocean color satellites, using numerous ground truth (in situ) platforms around the globe and
Externí odkaz:
https://doaj.org/article/2adb8b42d8e44ca486af3805dbe75d4c
Autor:
Ruhul Amin, Mark David Lewis, Adam Lawson, Richard W. Gould Jr., Paul Martinolich, Rong-Rong Li, Sherwin Ladner, Sonia Gallegos
Publikováno v:
Sensors, Vol 15, Iss 10, Pp 25703-25715 (2015)
The Geostationary Ocean Color Imager (GOCI) is the first geostationary ocean color sensor in orbit that provides bio-optical properties from coastal and open waters around the Korean Peninsula at unprecedented temporal resolution. In this study, we c
Externí odkaz:
https://doaj.org/article/fea084a93b9d443a918929f42c3baf28
Autor:
Christopher G. Wood, Paul Martinolich, David Lewis, Richard Crout, Robert Arnone, Sherwin Ladner, Jennifer Bowers, Adam Lawson
Publikováno v:
Remote Sensing, Vol 13, Iss 2673, p 2673 (2021)
The satellite validation navy tool (SAVANT) was developed by the Naval Research Laboratory to help facilitate the assessment of the stability and accuracy of ocean color satellites, using numerous ground truth (in situ) platforms around the globe and
Autor:
Richard W. Gould, Sean McCarthy, Mark David Lewis, Paul Martinolich, Adam Lawson, Sherwin Ladner, Jason K. Jolliff, Stephanie Anderson
Publikováno v:
CubeSats and SmallSats for Remote Sensing III.
Autor:
Adam Lawson, Sherwin Ladner, Sean McCarthy, Mark David Lewis, Jason K. Jolliff, Paul Martinolich
Publikováno v:
Ocean Sensing and Monitoring XI.
In September, 2018, Hurricane Florence made landfall in North Carolina as a Category 1 hurricane and inundated the eastern United States with significant rainfall. Precipitation from this slow moving storm event caused massive flooding. Outflow from
Autor:
Richard Crout, Jennifer Bowers, Christopher Wood, Adam Lawson, Paul Martinolich, Sherwin Ladner, Robert Arnone, David Lewis
Publikováno v:
Ocean Sensing and Monitoring XI.
The SAtellite VAlidation Navy Tool (SAVANT) was developed by the Navy to help facilitate the assessment of the stability and accuracy of ocean color satellites using ground truth (insitu) platform and buoy stations positioned around the globe and sup
Publikováno v:
OCEANS 2018 MTS/IEEE Charleston.
The Coastal Zone Color Scanner (CZCS), launched in October 1978, was the first satellite-borne, visible imager developed for the purpose of investigating ocean color. The results showed that many ocean products can be generated from the remote sensin
Publikováno v:
Ocean Sensing and Monitoring X.
The success of current ocean color satellite missions relies on the spectral quality, consistency, accuracy and precision of products (water leaving radiances, aerosols and clouds) derived from the satellite sensors. We propose leveraging available i