Window Regression for Image Stacks - Script and Sample Data

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dc.contributor.author	Brooks, Evan	en
dc.date.accessioned	2014-11-14T17:10:20Z	en
dc.date.available	2014-11-14T17:10:20Z	en
dc.date.issued	2014	en
dc.description	This submission contains material for implementing window regression (WR) on a multitemporally stacked set of images. The submission consists of two files. The first is an R script for running the algorithm. The second is an archive file containing sample data from the Manhattan, NY, USA area from 2010 and 2011. The R script is based on the work by J. C. de Oliveira et al., published in Remote Sensing with the title "Window Regression: A Spatial-Temporal Analysis to Estimate Pixels Classified as Low-Quality in MODIS NDVI Time Series". (DOI 10.3390/rs6043123) Questions and comments about this implementation of WR may be directed to Evan Brooks, evbrooks@vt.edu	en
dc.identifier.doi	https://doi.org/10.7294/W4MW2F2X	en
dc.identifier.uri	http://hdl.handle.net/10919/50852.1	en
dc.language.iso	en_US	en
dc.rights	Creative Commons Attribution-NonCommercial 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc/3.0/us/	en
dc.subject	multitemporal	en
dc.subject	imputation	en
dc.subject	preprocessing	en
dc.title	Window Regression for Image Stacks - Script and Sample Data	en
dc.type	Dataset	en
dc.type	Software	en