imagestack: Decades of Landsat NDVI time series over a small area in Ohio
In Rbeast: Bayesian Change-Point Detection and Time Series Decomposition

imagestack

R Documentation

Decades of Landsat NDVI time series over a small area in Ohio

Description

imagestack is a LIST containing Landsat-derived NDVI image chips at an Ohio site

Usage

    data(imagestack)

Source

Landsat images courtesy of the U.S. Geological Survey

References

Zhao, K., Wulder, M.A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick, B., Zhang, X. and Brown, M., 2019. Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm. Remote Sensing of Environment, 232, p.111181 (the beast algorithm paper).
Zhao, K., Valle, D., Popescu, S., Zhang, X. and Mallick, B., 2013. Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection. Remote Sensing of Environment, 132, pp.102-119 (the Bayesian MCMC scheme used in beast).
Hu, T., Toman, E.M., Chen, G., Shao, G., Zhou, Y., Li, Y., Zhao, K. and Feng, Y., 2021. Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 176, pp.250-261(a beast application paper).

Examples



 
 data(imagestack) 
 imagestack$datestr # A string vector containg the observation dates of individual ndvi images
 ## Not run: 
 imagestack$ndvi    # NDVI images collected over the past several deccades
 
## End(Not run)
 plot(imagestack$ndvi[3,4,],type='l') # Plot the raw data at a pixel

Rbeast documentation built on Sept. 12, 2024, 7:36 a.m.