Results 211 to 220 of about 12,913 (258)

Sub-basin sea level budget analysis in the North Indian Ocean (2003-2024). [PDF]

Sci Rep
Pillai UM, Ghomsi FEK, Kochuparampil AJ, Raj RP, Johannessen OM.   +4 more
europepmc   +1 more source

Multiyear Arctic Sea Ice Classification Using QuikSCAT

IEEE Transactions on Geoscience and Remote Sensing, 2012
Long-term trends in Arctic sea ice are of particular interest in studies of global temperature, climate change, and industrial application. This paper analyzes intra-annual and interannual trends in Ku-band backscatter over first-year (FY) and multiyear (MY) sea ice to develop a new sea-ice-type classification method.
David Long
exaly   +3 more sources

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Operational SAR Sea-Ice Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2012
Thousands 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 A. Clausi
exaly   +2 more sources

Potential of RADARSAT-2 for sea ice classification

IEEE International Geoscience and Remote Sensing Symposium, 2003
Polarimetric 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
openaire   +1 more source

Classification of Sea Ice Types with Radar

22nd European Microwave Conference, 1992, 1992
Using 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
openaire   +1 more source

Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT

IEEE Transactions on Geoscience and Remote Sensing, 2016
Arctic 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

Sea ice classification using compact polarized SAR

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Sea ice is a dominant indicator of climate change with rapid sea ice loss observed in Arctic Ocean in recent years. Spaceborne Synthetic Aperture Radar (SAR) sensors are ideal for ice monitoring because of their all-weather operation and sensitivity to surface roughness, volume structure, dielectric properties and viewing geometry.
Haiyan Li, William Perrie
openaire   +1 more source

Sea ice SAR classification based on edge features

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
In addition to the areal backscattering, the information in sea ice SAR images is in the edges. Here we propose some novel features for sea ice SAR classification. The features are mainly based on the information extracted from the edges detected by an edge detection algorithm, and segment edges at segment boundaries.
Juha Karvonen, Martti Hallikainen
openaire   +1 more source

Sea ice classification using SAR backscatter statistics

IEEE Transactions on Geoscience and Remote Sensing, 1992
Sea ice classification accuracy using standard statistics and higher order texture statistics generated from grey-level co-occurrence (GLC) matrices were compared for synthetic aperture radar (SAR) data collected during the Marginal Ice Zone Experiment (MIZEX) in April 1987.
Jeffrey A. Nystuen, Frank W. Garcia Jr.
openaire   +1 more source

Assessment of Four Passive Microwave Sea Ice Concentrations by Using Automatic Modis Sea Ice Classification

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, Jiangyuan Zeng, Zhen Li 0001, Kun-Shan Chen, Ping Zhang 0024   +4 more
openaire   +2 more sources