Window Regression for Image Stacks - Script and Sample Data
| dc.contributor.author | Brooks, Evan B. | en |
| dc.contributor.department | Forest Resources and Environmental Conservation | en |
| dc.date.accessioned | 2019-02-05T15:13:03Z | en |
| dc.date.available | 2014-11-14T17:10:20Z | en |
| dc.date.available | 2019-02-05T15:13:03Z | 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 | 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 |