timeseries_aggregation

Computes the mean, standard deviation, maximum, and minimum values of all regions of the raster and aggregates them into a timeseries.

graph TD inp1>raster] inp2>input_geometry] out1>timeseries] tsk1{{summary}} tsk2{{timeseries}} tsk1{{summary}} -- summary/stats --> tsk2{{timeseries}} inp1>raster] -- raster --> tsk1{{summary}} inp2>input_geometry] -- input_geometry --> tsk1{{summary}} tsk2{{timeseries}} -- timeseries --> out1>timeseries]

Sources

raster: Input raster.
input_geometry: Geometry of interest.

Sinks

timeseries: Aggregated statistics of the raster.

Tasks

summary: Computes the mean, standard deviation, maximum, and minimum values across the whole raster.
timeseries: Aggregates list of summary statistics into a timeseries.

Workflow Yaml

name: timeseries_aggregation
sources:
  raster:
  - summary.raster
  input_geometry:
  - summary.input_geometry
sinks:
  timeseries: timeseries.timeseries
tasks:
  summary:
    op: summarize_raster
  timeseries:
    op: aggregate_statistics_timeseries
edges:
- origin: summary.summary
  destination:
  - timeseries.stats
description:
  short_description: Computes the mean, standard deviation, maximum, and minimum values
    of all regions of the raster and aggregates them into a timeseries.
  long_description: null
  sources:
    raster: Input raster.
    input_geometry: Geometry of interest.
  sinks:
    timeseries: Aggregated statistics of the raster.