Blending of satellite SST products using ensemble Bayesian model averaging (EBMA)

Research paper by Kwangjin Kim, Min Yoon, Jaeil Cho, Sungwook Hong, Hongjoo Yoon, Heesook Mo, Yang-;Won Lee

Indexed on: 22 Jun '16Published on: 04 Jun '16Published in: Remote sensing letters (Print)

Abstract

Authors: Kwangjin Kim ; Min Yoon ; Jaeil Cho ; Sungwook Hong ; Hongjoo Yoon ; Heesook Mo ; Yang-Won Lee Article URL: http://www.tandfonline.com/doi/full/10.1080/2150704X.2016.1190473?ai=z4&mi=3fqos0&af=R Citation: Remote Sensing Letters Publication Date: 2016-06-04T01:42:41Z Journal: Remote Sensing Letters

Blending of satellite SST products using ensemble Bayesian model averaging (EBMA)

Abstract

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Blending of satellite SST products using ensemble Bayesian model averaging (EBMA)

Abstract

More like this:

Experimental analysis of sand grain size mapping using UAV remote sensing

Analysis of differences in vegetation phenology cycle of abandoned farmland, using harmonic analysis of time-series vegetation indices data: the case of Gwangyang City, South Korea

Optimal flight parameters for unmanned aerial vehicles collecting spatial information for estimating large-scale waste generation

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