Rbeast (version 0.9.2)

geeLandsat: Landsat reflectance and NDVI time series from Google Earth Engine

Description

Get Landsat reflectance and NDVI time series from Google Earth Engine given longitude and latitude

Usage

geeLandsat(lon=NA, lat=NA, radius=100, stat='mean',timeout=700)

Arguments

lon

numeric within [-180,180]

lat

numeric within [-90, 90]

radius

a postive number ( <=500 meters ); the radius of a buffer around the given latitude and longtiude for aggregation. If radius=0, the single pixel at the lat and lon will be retrived

stat

character; if radius>0, used to specify the spatial aggregation method for pixels in the buffer. Possible values are 'mean','min','max', or 'median'.

timeout

integer; the seconds elapsed to wait for connection timeout. See the note for an explanation.

Value

a data.frame object consiting of dates, sensor type, reflectances, and NDVI for the requested location. It contains only valid and clear-sky values as obtained by referring to the standard clouds flags.

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).

See Also

beast, beast.irreg, beast123, minesweeper, tetris

Examples

# NOT RUN {

 library(Rbeast)
# }
# NOT RUN {
 df = geeLandsat(lon=-80.983877,lat= 40.476882) #if it fails, try a few more times before giving up
 print(df)
# }
# NOT RUN {
 
# }