I am trying to use the geolocation information of a tiff image to geolocate another. Both images are frames from the same drone footage, with the drone still over the same position. The one geolocated is a tif and the one to geolocate is a png, and it is to be converted to a tif. However, when I open the new tif in Google Earth Engine, I got it where I want it, but it's almost all white. I have also noticed that the stack created from the original .png has a fourth layer that should not be there, all of it at maximum spectral value of 255. Do you know hwat might be going on? I have also tried with the first image not as a png but as a tif without geolocation and the same happened. I have also tried with bricks instead of stacks. I tried first with rasters, but the result was even worse. All the image was white. Here is my code:


## Loading image of interest as raster
R_test <- 
R_test ## It does not have any CRS

## Loading image already geolocated from GIS
frame2 <- 
frame2 ## 
# Give image of interest the lat/lon coords of the geolocated image as appear in its metadata in the console
extent(R_test) <- c(-9073461, -9073269, 2974255, 2974366)
# Copy the projection data of the geolocated image as appears in the console to the image of interest 
projection(R_test) <- CRS("+proj=merc +lat_ts=0 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs")

## Write new geolocated image into a file
writeRaster(R_test, "R_test_geolocated.tif", format = "GTiff")
  • 1
    The fourth layer might be a transparency/opacity layer. What if you plotRGB(frame2[[1:3]]), ie drop the fourth layer? Hard to be definitive without a copy of the file.
    – Spacedman
    Commented May 18, 2021 at 19:26

1 Answer 1


This is a one liner using gdal:

gdalcopyproj.py source_file dest_file

See this question for more information: Using GDAL command line to copy projections

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