coverChange: Gain and loss in the land cover classification

In ytarazona/ForesToolboxRS: Remote Sensing Tools for Forest Monitoring

Gain and loss in the land cover classification

Description

This algorithm is able to obtain gain and loss in the land cover classification.

Usage

coverChange(x, y)

Arguments

x	First classified image.
y	Second classified image of a time later.

Value

A list with loss raster, gain raster, loss hectares and gain hectares.

Note

It is important to mention that the images used to obtain gain and loss in land cover classification must have the same extent. It is preferable that the classified images come from the same software.

Examples

library(ForesToolboxRS)
library(raster)

rastClas1 <- raster(ncol = 10, nrow = 10,
  xmn = -1000, xmx = 1000, ymn = -100, ymx = 900)
values(rastClas1) <- floor(runif(100, min = 1, max = 5))

rastClas2 <- raster(ncol = 10, nrow = 10, xmn = -1000, xmx = 1000, ymn = -100, ymx = 900)
values(rastClas2) <- floor(runif(100, min = 1, max = 5))

change <- coverChange(rastClas1, rastClas2)

ytarazona/ForesToolboxRS documentation built on Nov. 23, 2024, 6:03 p.m.