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Exponentially Weighted Moving Average Change Detection - Script and Sample Data
| dc.contributor.author | Brooks, Evan | en |
| dc.date.accessioned | 2019-02-05T14:57:17Z | en |
| dc.date.available | 2014-09-29T13:40:39Z | en |
| dc.date.available | 2014-11-13T14:51:36Z | en |
| dc.date.available | 2019-02-05T14:46:44Z | en |
| dc.date.issued | 2014-09-29 | en |
| dc.description | This archive file contains material for implementing exponentially weighted moving average change detection (EWMACD) on a multitemporally stacked set of images. The archive includes an R script for running the algorithm, some sample data and aerial photographs for assessing results, and the original EWMACD paper, published in IEEE Transactions on Geoscience and Remote Sensing. Questions and comments may be directed to Evan Brooks, evbrooks@vt.edu | en |
| dc.description.sponsorship | (From the associated paper:) This work was supported in part by the U.S. Department of Agriculture Forest Service Cooperative Agreement with Virginia Polytechnic Institute and State University (Virginia Tech) under Grant 10-CA-11330145- 158, by the Landsat Science Team under U.S. Geological Survey Contract G12PC00073, by the Pine Integrated Network: Education, Mitigation, and Adaptation Project (PINEMAP, Coordinated Agricultural Project funded in 2011 by the USDA National Institute of Food and Agriculture), by theMcIntire- Stennis Cooperative Forestry Research Program through the USDA CSREES under Project VA-136614, and by the Department of Forest Resources and Environmental Conservation at Virginia Tech. | en |
| dc.identifier.doi | https://doi.org/10.7294/W4WD3XHK | en |
| dc.identifier.uri | http://hdl.handle.net/10919/50543 | en |
| dc.language.iso | en_US | en |
| dc.relation.isreferencedby | http://vtechworks.lib.vt.edu/handle/10919/50544 | 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 | Degradation | en |
| dc.subject | statistical process control | en |
| dc.subject | thinning | en |
| dc.subject | trajectory | en |
| dc.title | Exponentially Weighted Moving Average Change Detection - Script and Sample Data | en |
| dc.type | Dataset | en |
| dc.type | Software | en |