12-references.Rmd

# References


>[Cohen, W. B., Yang, Z., & Kennedy, R. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync-Tools for calibration and validation. Remote Sensing of Environment, 114(12), 2911-2924.](https://larse.forestry.oregonstate.edu/sites/larse/files/pub_pdfs/Cohen_etal_2010.pdf)

>[Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18-27.](https://www.sciencedirect.com/science/article/pii/S0034425717302900)

>[Kennedy, R. E., Yang, Z., & Cohen, W. B. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr—Temporal segmentation algorithms. Remote Sensing of Environment, 114(12), 2897-2910.](http://geotrendr.ceoas.oregonstate.edu/files/2015/05/Kennedy_etal2010.pdf)

>[Kennedy, R. E., Yang, Z., Cohen, W. B., Pfaff, E., Braaten, J., & Nelson, P. (2012). Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan. Remote Sensing of Environment, 122, 117-133.](http://geotrendr.ceoas.oregonstate.edu/files/2015/05/kennedy_etal_2012_nwfp.pdf)

>[Kennedy, R.E., Yang, Z., Gorelick, N., Braaten, J., Cavalcante, L., Cohen, W.B., Healey, S. (2018). Implementation of the LandTrendr Algorithm on Google Earth Engine. Remote Sensing. 10, 691.](http://www.mdpi.com/2072-4292/10/5/691)

>[Roy, D. P., Kovalskyy, V., Zhang, H. K., Vermote, E. F., Yan, L., Kumar, S. S., & Egorov, A. (2016). Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity. Remote Sensing of Environment, 185, 57-70.](https://www.sciencedirect.com/science/article/pii/S0034425715302455)