A data.table containing NDVI samples for ten points over ten years (2002-2012).

Format

A data.table with 2530 rows and 5 variables:

  • id - individual identifier

  • yr - year of sample

  • DayOfYear - julian day/day of year of sample

  • NDVI - sampled value

  • SummaryQA - Summary quality assessment value

SummaryQA details:

  • 0 - Good data, use with confidence

  • 1 - Marginal data, useful but look at detailed QA for more information

  • 2 - Pixel covered with snow/ice

  • 3 - Pixel is cloudy

Examples

# Load data.table library(data.table) # Read example data ndvi <- fread(system.file("extdata", "ndvi.csv", package = "irg"))