all_landsat_bands <- list.files("data/week-08/landsat/LC80340322016189-SC20170128091153/crop",
           pattern = glob2rx("*band*.tif$"),
           full.names = TRUE) # use the dollar sign at the end to get all files that END WITH

all_landsat_bands_st <- stack(all_landsat_bands)

# turn the axis color to white and turn off ticks
par(col.axis = "white", col.lab = "white", tck = 0)
# plot the data - be sure to turn AXES to T (you just color them white)
plotRGB(all_landsat_bands_st,
        r = 4, g = 3, b = 2,
        stretch = "hist",
        main = "Pre-fire RGB image with cloud\n Cold Springs Fire",
        axes = TRUE)
# turn the box to white so there is no border on your plot
box(col = "white")

# import fire overlay boundary
fire_boundary <- readOGR("data/week-08/vector_layers/fire-boundary-geomac/", 
                         "co_cold_springs_20160711_2200_dd83")
## OGR data source with driver: ESRI Shapefile 
## Source: "/root/earth-analytics/data/week-08/vector_layers/fire-boundary-geomac", layer: "co_cold_springs_20160711_2200_dd83"
## with 1 features
## It has 21 fields
# reproject the data
fire_boundary_utm <- spTransform(fire_boundary, CRS = crs(all_landsat_bands_st))

# turn the axis color to white and turn off ticks
par(col.axis = "white", col.lab = "white", tck = 0)
# plot the data - be sure to turn AXES to T (you just color them white)
plotRGB(all_landsat_bands_st,
        r = 4, g = 3, b = 2,
        stretch = "hist",
        main = "Pre-fire RGB image with cloud\n Cold Springs Fire\n Fire boundary extent",
        axes = TRUE,
        ext = extent(fire_boundary_utm))
# turn the box to white so there is no border on your plot
box(col = "white")
plot(fire_boundary_utm, add = TRUE)