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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2010, July 25-30, 2010, Honolulu, Hawaii, USA, Proceedings; 01/2010
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2010, July 25-30, 2010, Honolulu, Hawaii, USA, Proceedings; 01/2010
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2010, July 25-30, 2010, Honolulu, Hawaii, USA, Proceedings; 01/2010
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ForestSat 2010ForestSat 2010, Lugo and Santiago de Compostela, Spain; 01/2010
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ASTRO 2010ASTRO 2010, Toronto, Ontario; 01/2010
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3rd Workshop on Radarsat-23rd Workshop on Radarsat-2, Canadian Space Agency, St. Hubert, Quebec; 01/2010
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2nd Workshop on Hyperspectral Image and Signal Processing-WHISPERS 20102nd Workshop on Hyperspectral Image and Signal Processing-WHISPERS 2010, Reykjavik, Iceland; 01/2010
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[show abstract]
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ABSTRACT: Radarsat-2 polarimetric SAR data for Natural Resources Canada became available in May, 2008. In this paper we evaluate analysis methods and investigate potential forest applications with Radarsat-2 polarimetric SAR data. The Radarsat-2 Fine Quad-polarization data were studied and the Cloude H/A/Alpha and Freeman three-component decompositions were performed. We found that Radarsat-2 FQ data has a Faraday rotation angle estimated at less than 0.01 degree. The georeferencing information embedded in the FQ metadata file provided good pixel positioning accuracy. However, polarization orientation shifts introduced by terrain topography slopes in azimuth direction were difficult to be sensed. Various polarimetric parameterizations of Radarsat-2 FQ data are useful for identifying different landcover types and detecting changes in forested areas. The Cloude entropy, dominant scattering alpha and eigenvalues (λ2+λ3) were used to create a HSV coding image for better differentiation of water surface, vegetation and forest and to reduce topographic effects. Multitemporal time series of the Freeman decompositions showed that the volume and double bounce scattering were as expected. The surface scattering was seen to be stronger in winter than in summer.
Radar Conference, 2009 IET International; 05/2009
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IEEE RadarCon 2009IEEE RadarCon 2009, Pasadena, California, USA; 01/2009
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Hao Chen,
David G. Goodenough,
Aimin Guan,
Belaid Moa,
Randall Sobie,
Patrick Armstrong,
Ashok Agarwal,
Ian Gable,
Ronald J. Desmarais,
Roger Impey,
Andre Charbonneau,
Wayne Podaima
17th International Conference on Geoinformatics17th International Conference on Geoinformatics, Fairfax, USA; 01/2009
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Ashok Agarwal,
Patrick Armstrong,
Andre Charbonneau, Hao Chen,
Ronald J. Desmarais,
Ian Gable,
David G. Goodenough,
Aimin Guan,
Roger Impey,
Belaid Moa,
Wayne Podaima,
Randall J. Sobie
High Performance Computing Systems and Applications, 23rd International Symposium, HPCS 2009, Kingston, ON, Canada, June 14-17, 2009, Revised Selected Papers; 01/2009
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2008, July 8-11, 2008, Boston, Massachusetts, USA, Proceedings; 01/2008
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2008, July 8-11, 2008, Boston, Massachusetts, USA, Proceedings; 01/2008
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2008, July 8-11, 2008, Boston, Massachusetts, USA, Proceedings; 01/2008
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International Astronautics Congress 2008International Astronautics Congress 2008, Glasgow, Scotland; 01/2008
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ABSTRACT: System of agents for forest observation research with advanced hierarchies (SAFORAH) is a grid-enabled environment that makes optimum use of distributed data storage facilities. It supports EO data collaboration among various Canadian research organizations and provides ready access to the most current, consistent and reliable forest resource information through various network environments. SAFORAH was built with an extensible data grid network based on the Globus Toolkit and transparently presents the distributed data storage facilities across multiple organizations and government agencies as one single data archive to users to facilitate easy EO data archiving and distribution. Currently, four Canadian forestry centres located in Victoria British Columbia,Cornerbrook Newfoundland,Edmonton,Alberta and Laurentian Quebec, and environment Canada's Canadian Wildlife service are operationally connected via Canarie to the SAFORAH data grid. The connection to a large petabyte storage facility under development at the University of Victoria (UVic) was also established. SAFORAH has been modified to provide data services based on the OGC standard using NWGISS to support the distribution of comprehensive, integrated and thematic EO data for forest applications. SAFORAH has been used in the EOSD project to support the national monitoring of Canada's forests. This use has demonstrated that SAFORAH is a practical tool for collaborative research to facilitate the sharing of EO data. The extension of SAFORAH to handle OGC requests has enabled the distribution of landcover product tiles from multiple storage sites seamlessly to national and international users. The web address for SAFORAH is www.saforah.org.
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International; 08/2007
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2007, July 23-28, 2007, Barcelona, Spain, Proceedings; 01/2007
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2007, July 23-28, 2007, Barcelona, Spain, Proceedings; 01/2007
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SPIE, Second International Conference on Space Information Technology (ICSIT),SPIE, Second International Conference on Space Information Technology (ICSIT),, Wuhan, China; 01/2007
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ASPRS/CRSS 2007ASPRS/CRSS 2007, Ottawa, ON, Canada; 01/2007