Results 211 to 220 of about 12,080 (258)
Large-Scale Microbiome Profiling of Brown Algae Identifies a Specific <i>Vibrio aphrogenes</i> Clade Strain That Promotes Gametophyte Settlement. [PDF]
J Microbiol BiotechnolBae Y +5 more
europepmc +1 more source
Sea-Ice Microbial Community Succession and the Potential Role of Parasitoids in the Maintenance of Diversity During the Spring Bloom. [PDF]
Environ MicrobiolDilliplaine KB +8 more
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Detection and Emergence of Climate Change Signals in Extreme Sea Levels: A Global-scale Analysis
Nawarat K +4 more
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Operational SAR Sea-Ice Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2012Thousands of spaceborne synthetic aperture radar (SAR) sea-ice images are systematically processed every year in support of operational activities such as ship navigation and environmental monitoring. An automated approach that generates pixel-level sea-ice image classification is required since manual pixel-level classification is not feasible ...
David Clausi
exaly +2 more sources
Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT
IEEE Transactions on Geoscience and Remote Sensing, 2016Arctic sea ice can be classified as first-year (FY) or multiyear (MY) based on data collected by satellite microwave scatterometers. The Oceansat-2 Ku-band Scatterometer (OSCAT) was operational from 2009 to 2014 and is here used to classify ice as FY or MY during these years.
David Long
exaly +2 more sources
Potential of RADARSAT-2 for sea ice classification
IEEE International Geoscience and Remote Sensing Symposium, 2003Polarimetric data acquired by the CCRS CV-580 airborne SAR are used to assess the capability of RADARSAT-2 for operational sea ice classification. The information content of the polarimetric data is illustrated by showing how specific scattering mechanisms are portrayed by the entropy, anisotropy and /spl alpha/-angle features.
Bernd Scheuchl, Ian G. Cumming
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Classification of Sea Ice Types with Radar
22nd European Microwave Conference, 1992, 1992Using a helicopter-borne multichannel scatterometer (accurately calibrated non-imaging radar), the feasibility of using synthetic aperture radar (SAR) images from present and near-future spaceborne sensors for assisting winter navigation in the Baltic Sea was investigated. Due to cloud cover and short days in the winter, visible/infrared satellite data
Martti Hallikainen, Martti Toikka
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Automated Classification of Operational SAR Sea Ice Images
2010 Canadian Conference on Computer and Robot Vision, 2010The automated classification of operational sea ice satellite imagery is important for ship navigation and environmental monitoring. Annually, thousands of large synthetic aperture radar (SAR) scenes are manually processed by the Canadian Ice Service (CIS) and pixel-level interpretation is not feasible.
Shuhrat Ochilov, David A. Clausi
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IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
This paper assessed the accuracy of four passive microwave (PM) sea ice concentration (SIC) products in polar regions by using twelve scenes MODIS images under clear-sky conditions. The SIC products include the DMSP SSMIS with Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm (SSMIS/ASI), the GCOM-W AMSR2 with NASA Bootstrap (BT)
Shuang Liang +4 more
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This paper assessed the accuracy of four passive microwave (PM) sea ice concentration (SIC) products in polar regions by using twelve scenes MODIS images under clear-sky conditions. The SIC products include the DMSP SSMIS with Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm (SSMIS/ASI), the GCOM-W AMSR2 with NASA Bootstrap (BT)
Shuang Liang +4 more
openaire +1 more source