Yellowstone: 30 years' AVHRR NDVI data at a Yellostone site

In Rbeast: Bayesian Change-Point Detection and Time Series Decomposition

30 years' AVHRR NDVI data at a Yellostone site

Description

Yellowstone is a vector comprising 30 years' AVHRR NDVI data at a Yellostone site

Usage

    data(Yellowstone)

Source

Rbeast v0.9.2

References

1. 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).

2. 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).

3. 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

 library(Rbeast)
 data(Yellowstone)
 plot(Yellowstone,type='l')
 
 result=beast(Yellowstone)
 plot(result)
 

Rbeast documentation built on May 31, 2023, 9:23 p.m.