The file contains a 1000 x 1000 matrix of surface-reflectance-derived NDVI values for Brisbane, Queensland, Australia, at a resolution of 30m per pixel. These observations were collected by the Landsat-8 Operational Land Imager (OLI) on May 3, 2015 and post-processed by the United States Geographical Survey (USGS) to calculate surface reflectance and NDVI. For more detail, see https://www.usgs.gov/core-science-systems/nli/landsat/landsat-normalized-difference-vegetation-index
Format:
This 2.5mb binary R data file (.rda) contains a matrix with 1000 rows and 1000 columns, stored in a variable named ndvi.
Usage:
load(“ndvip089r07920150503.rda")
image(t(ndvi[1000:1,]), asp=1)
hist(ndvi, breaks=30, freq=FALSE)
References:
Moores, Matt, Geoff Nicholls, Anthony N. Pettitt, and Kerrie Mengersen (2020). “Scalable Bayesian inference for the inverse temperature of a hidden Potts model.” Bayesian Analysis 15(1), 1-27.