csv_batch: Batch Generate CSV Training Files

In Tomhigg/fracCover: Generate and Validate Fractional Coverage products using Landsat/MODIS

Description

Preforms a batch implementation of the csv_create function, allowing multiple high-res images to to processed into training files at the same time.

Usage

csv_batch(raster_path, inPred, numSamps, fromVals, toVals)

Arguments

raster_path	A list of paths to the classified high-resolution imagery (use list.files)
fromVals	vector of the values in classified image
toVals	vector which values will be changes too
inPredImage	Name and path for the input image that will be used for predictions (Landsat/MODIS)
ndPred	No data value for the prediction image (normally 0)

Examples

Landsat_SA_CRS <-"..//Landsat_SA_CRS//Landsat_SA_AEA.tif"
shrub_mask_list <-list.files(path = "F:\\Projects\\Shrub_cover\\NGI_aerial_imagery\\shrub_masks\\",pattern = "*tif$",full.names = TRUE)
set.seed(seed = 33)
percent_cover <-csv_batch(raster_path = shrub_mask_list,inPred = Landsat_SA_CRS,numSamps = 5000)
Class numbers that will be mapped using the following scheme:
   0 = no data such as background, clouds and shadow
   1 = class for which percent cover is being calculated
   2 = all other land cover classes
fromVals <- c(0,1, 2, 3)
toVals <-   c(2,1, 2, 2)

Tomhigg/fracCover documentation built on May 9, 2019, 5:11 p.m.