Brooks, Evan B.2019-02-052014-11-142019-02-052014http://hdl.handle.net/10919/50852This 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.eduen-USCreative Commons Attribution-NonCommercial 3.0 United StatesmultitemporalimputationpreprocessingWindow Regression for Image Stacks - Script and Sample DataDatasethttps://doi.org/10.7294/W4MW2F2X