A data.table containing NDVI samples for ten points over ten years (2002-2012).
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
1 2 3 4 5 | # Load data.table
library(data.table)
# Read example data
ndvi <- fread(system.file("extdata", "ndvi.csv", package = "irg"))
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