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Brian Brisco

Researcher at Canada Centre for Remote Sensing

Publications -  145
Citations -  6258

Brian Brisco is an academic researcher from Canada Centre for Remote Sensing. The author has contributed to research in topics: Synthetic aperture radar & Wetland classification. The author has an hindex of 35, co-authored 130 publications receiving 4266 citations. Previous affiliations of Brian Brisco include United States Geological Survey & Government of Canada.

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Textural Infornation in SAR Images

TL;DR: In this paper, a multiplicative model was used to relate the image variance for a given land-use category to the individual variances associated with image speckle and target texture.
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Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

TL;DR: A meta-analysis investigation of recent peer-reviewed GEE articles focusing on several features, including data, sensor type, study area, spatial resolution, application, strategy, and analytical methods confirmed that GEE has and continues to make substantive progress on global challenges involving process of geo-big data.
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Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

TL;DR: This study aims to comprehensively explore different aspects of the GEE platform, including its datasets, functions, advantages/limitations, and various applications, and observed that Landsat and Sentinel datasets were extensively utilized by GEE users.
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Rice monitoring and production estimation using multitemporal RADARSAT

TL;DR: In this article, the authors presented the results of a study examining the backscatter behavior of rice as a function of time using multitemporal RADARSAT data acquired in 1996 and 1997.
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Compact polarimetry overview and applications assessment

TL;DR: A synthetic aperture radar (SAR) with hybrid-polarity (CL-pol) architecture transmits circular polarization and receives two orthogonal, mutually coherent linear polarizations, which is one manifestation of compact polarimetry as mentioned in this paper.