Importing and exporting data
library(terra)
## terra 1.7.78
Read tif data
elevation <- rast("C:/Users/154455/Dropbox/2.dAILYr/R terra/data/2019/Landcover2019.TIF")
elevation
## class : SpatRaster
## dimensions : 4841, 5899, 1 (nrow, ncol, nlyr)
## resolution : 98.30178, 98.30178 (x, y)
## extent : 207920.7, 787802.9, 1149973, 1625852 (xmin, xmax, ymin, ymax)
## coord. ref. : WGS 84 / UTM zone 48N (EPSG:32648)
## source : Landcover2019.TIF
## name : Landcover2019
Update Data
names(elevation) <- "Altitude"
Plot Elevation
plot(elevation)

Lulc data
lulc_2019 <- rast("C:/Users/154455/Dropbox/2.dAILYr/R terra/data/2023/Landcover2023.TIF")
Plot Lulc data
plot(lulc_2019, type = "classes")

Update class_name
class_name <- c(
"Roads",
"Built-up areas",
"Water Bodies and rivers",
"Wetlands",
"Dry bare area",
"Bare crop fields",
"Low vegetation areas",
"High vegetation areas",
"Forested areas")
Update color
class_color <- c("#070401", "#c84639", "#1398eb","#8bc2c2",
"#dc7b34", "#a6bd5f","#e8e8e8", "#4fb040", "#35741f")
plot(lulc_2019,
type = "classes",
levels = class_name,
col = class_color,
plg = list(cex = 0.7)
)
