judgeProbSeriesDetect: Detect disturbance in time series

In dulvrq/ddl8s1ts: Map forest disturbance using Landsat 8 and Sentinel-1

Description

Detect disturbance in time series of CCDC and RF results. If dt_l8_use = NULL, then only S1 data is used for disturbance detection. If dt_s1_use = NULL, then only L8 data is used for disturbance detection.

Usage

judgeProbSeriesDetect(
  dt_l8_use,
  dt_s1_use,
  ids,
  threshold,
  seq_l,
  lag_m,
  savename = NULL
)

Arguments

dt_l8_use	a dataframe form Landsat 8 (or NULL). Should have 'ID', 'DOY', 'predict' columns.
dt_s1_use	a dataframe form Sentinel-1 (or NULL). Should have 'ID', 'DOY', 'predict' columns.
ids	vector. a list of IDs to be mapped.
threshold	a threshold to identify disturbance.
seq_l	a consective vector to judsge disturbance.
lag_m	(Deprecated). lag date for identifying disturbance.
savename	filenames for saving plots. If NULL, no plots.

Value

a dataframe with disturbance detection.

dulvrq/ddl8s1ts documentation built on May 2, 2021, 5:18 a.m.