sits_accuracy_area: Area-weighted post-classification accuracy assessment of...

In luizassis/sits: Satellite Image Time Series Analysis

Description

To use this function, the input table should be a set of results containing both the label assigned by the user and the classification result. Accuracy assessment set us a confusion matrix to determine the accuracy of your classified result. This function uses an area-weighted technique proposed by Olofsson et al. to produce accuracy estimates that are more reliable

We plan to do an improved version of this function that includes a Raster R object with the classified map and a vector with the labels of the classified map (Gilberto-Rolf-05-Jun-2017)

This function calls twdtwAssess from dtwSat. twdtwAssess performs an accuracy assessment of the classified, including Overall Accuracy, User's Accuracy, Produce's Accuracy, error matrix (confusion matrix), and estimated area according to [1-2].

Usage

sits_accuracy_area(results.tb, area, conf.int = 0.95, rm.nosample = FALSE)

Arguments

results.tb	a sits table with a set of lat/long/time locations with known and trusted labels and with the result of classification method
area	a list with the area of each label
conf.int	specifies the confidence level (0-1).
rm.nosample	if sum of columns and sum of rows of the error matrix are zero then remove class. Default is TRUE.

Author(s)

Victor Maus, [e-mail]

Gilberto Camara, [e-mail]

References

[1] Olofsson, P., Foody, G.M., Stehman, S.V., Woodcock, C.E. (2013). Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation. Remote Sensing of Environment, 129, pp.122-131.

[2] Olofsson, P., Foody G.M., Herold M., Stehman, S.V., Woodcock, C.E., Wulder, M.A. (2014) Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment, 148, pp. 42-57.

luizassis/sits documentation built on May 30, 2019, 7:15 p.m.