R package for extracting metrics from time series of satellite images
The goal of the sitsfeats package is to extract temporal metrics from satellite images time series. The metrics implemented in this version are:
- basics: statistics metrics
- polar: polar metrics
The implementations of this package are based on the stmetrics library in Python.
You can install the CRAN version with:
install.packages("sitsfeats")Or the development version of sitsfeats from github with:
library(devtools)
devtools::install_github("oldlipe/sitsfeats")# loading sitsfeats and tibble packages
library(sitsfeats)
library(tibble)
# loading example time series
data("timeseries")
polar_metrics <- tibble::tibble(area_q1 = area_q1(timeseries),
area_q2 = area_q2(timeseries),
area_q3 = area_q3(timeseries),
area_q4 = area_q3(timeseries))
polar_metrics
#> # A tibble: 5 × 4
#> area_q1[,1] area_q2[,1] area_q3[,1] area_q4[,1]
#> <dbl> <dbl> <dbl> <dbl>
#> 1 29443841. 14207184. 30180681. 30180681.
#> 2 28600327. 11275172. 32912031. 32912031.
#> 3 39626598. 26313817. 39566583. 39566583.
#> 4 37874557. 16023772. 34952318. 34952318.
#> 5 23932473. 15016832. 27336259. 27336259.# get one instance from timeseries
one_instance <- timeseries[1,]
# plot first time series example
polar_plot(one_instance)
Feel free to create issues if you have any questions.
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