Відео

I (as a windows user, not familiar with the command line) spent some time finding the proper command line terminal. It worked for me when i opened the terminal from the Qgis browser (right click on a folder or even quicker: your working folder>> open in terminal). The windows terminal (maybe i used the wrong one) did not work properly. But from the browser in Qgis i had no problem at all to execute the commands.

just what i needed as a newby in commandline work :-)

Kessler Shoal

Kling Alley

Oberbrunner Overpass

Hilll Mountain

Thanks for the video. How can I convert X and Y to Lat and Lon in a csv file?

Amazing video, and love your accent. Muchas gracias!

Please provide the files as well so it wont be confusing to practice the same

Hi. It's a great tutorial. Would you mind to share the files you have used in the tutorial please 🙏❤

Extremely helpful! Please keep updating this series!💕

Data Set available?

This is amazing, thank you!

Hi, I'm wondering is it possible to provide the 2nd argument to the Grid() function, not using a "points.shp" file name, but some other format? I don't have a points.shp file, but only the x- and y- and z- coordinates. How do I provide those to the Grid() function?

From where will get dem.tif file?

How to rotet tif file actioly im trying open tiff file using python but i can able to load but if compated to global mapper image is looking like mirrer image kindly help me to solove this issue

Thank you for this tutorial! Very helpful.

Perfect explanation, thank you!

Hi many thanks for the video. Very interesting allthough I am not yet quite there with my project. Is there a way how to combine hillshading with colormap to show the terrain relief in way that the shading conveys a 3D effect while looking at a 2D map?

Great tutorial!! I'm stuck on this, and I was wondering if you could help me out. I have a coarse mesh coarse.tif and a fine mesh fine.tif. The extent of coarse.tif is larger and completely includes fine.tif. Both have different resolutions, but I want the points (pixels) of each to be "nested", giving precedence to the arrangement of points in the fine mesh. This means that starting from the fine mesh, I want to construct a coarse mesh where there is one coarse mesh point for every 4 fine mesh points. In other words, the square formed by every 4 fine mesh points has the corresponding coarse mesh point in the center. Once this coarse mesh is created, the average of the involved fine mesh points is considered in the points where both meshes overlap, and interpolation of the coarse mesh points is used outside the overlap. Is it possible by using gdalwarp? Thanks

Useful and Clear ! Thank You for this Great Tutorial

is there a way to have gdal working with react project.

Fantastic!!!

Can you please provide solution for gdal cropping RGB images into black and white patches

Hello, thank you for this tutorial it helped me a lot of, I just have a 1 question, I modfied your code instead of 1 data, I'm trying to divide folder of sentinel 2 images to 32x32 tiles, even though I don't get error and when printing it does show the coordinates of newly divided tiles, but output folder remains empty I think warp is not doing what it supposed to do and I don't know what else I could to do get it working, can you tell me what I'm doing wrong? This is my code import os from osgeo import gdal # Specify the input folder containing 256x256 images input_folder = r"E:\ytu\PHD\data eslihan_sentinel_testing\kodlar\SmartpolAIProcess\images" # Output folder for 32x32 tiles output_folder = r"E:\ytu\PHD\data eslihan_sentinel_testing\imagesTiles" image_files = [file for file in os.listdir(input_folder) if file.endswith('.tif')] # Loop through each image file for image_file in image_files: sen = gdal.Open(os.path.join(input_folder, image_file)) # Get the geotransform gt = sen.GetGeoTransform() # Get the dimensions of the image xlen = gt[1] * sen.RasterXSize ylen = gt[1] * sen.RasterYSize # Number of tiles in x and y direction div = 8 # Size of a single tile xsize = xlen // div ysize = ylen // div # Create lists of x and y coordinates xsteps = [gt[0] + xsize * i for i in range(div + 1)] ysteps = [gt[3] - ysize * i for i in range(div + 1)] # Loop over min and max x and y coordinates for i in range(div): for j in range(div): xmin = xsteps[i] xmax = xsteps[i + 1] ymax = ysteps[j] ymin = ysteps[j + 1] print("xmin: "+str(xmin)) print("xmax: "+str(xmax)) print("ymin: "+str(ymin)) print("ymax: "+str(ymax)) print(" ") # Use gdal warp to create 32x32 tiles gdal.Warp( os.path.join(output_folder, f"{os.path.splitext(image_file)[0]}_{i}_{j}.tif"), sen, outputBounds=(xmin, ymin, xmax, ymax), dstNodata=-9999, )

Clearly explained! Thank you very much. This is really helpful.

Graciaaaaas <3

Haw to install gedal in Jupiter notebook

Oh! one more thing: you operate with x and y - which one should be latitude and which one the longitude?

Bless you for covering different use cases! And thanks than mine is included.

Very useful and informative!

Please complete the gdal python series. Also it would be very much helpful if you could create a video on how to convert lat long ( spatial coordinates) to pixel coordinates (x,y) and vice versa, with introduction to different projection and crs. Thank you for the video though

Thank you for your videos! It's the third video that has been really helpful for me - appreciate it

my python version is >3.8 and its returning error to import gdal from osgeo what should I do

Great video! I've merged a couple of datasets with no issue, but now I get this error: ERROR 1: ZIPDecode:Decoding error at scanline 0 ERROR 1: TIFFReadEncodedTile() failed. ERROR 1: \\Path to this file...\DTM_1km_6159_636.tif, band 1: IReadBlock failed at X offset 0, Y offset 0: TIFFReadEncodedTile() failed. the data is from Denmark and I've got different offset values like x=6, 1 or 8 and y=5 or 6 I've been stuck on this problem for a while and tried all the solutions I've found on the internet, have you encountered this problem before?

I am facing difficulty while installing gdal. The error shows 'Environment Not Writable' Please help me.

Thanks for the tutorial, very awesome! Just wondering where to download your data for reproducing your demo? Thanks. 🙂

These tutorials are so incredibly helpful. Thank you!!!

Muchas gracias, clarísimo el video, entendí todo!

thanks

Thank you so much! I was looking to convert CSV to Tiff and none of other posts on internet seemed to work. Your tutorial was perfect solution to my use case. Thanks again!

I want to generate the raster data, so what should be the method i should follow should be it on python or any other ? Please suggest me some

I tested the code and I found two issues: 1) using gdal warp i got a Warning: "Warning 1: for band 1, destination nodata value has been clamped to 0, the original value being out of range." It seems related with the nodata values. At the end the resulting tiles are not workables. 2) the resolution res is not valid for y-axis, therefore the tiles generated are incomplete. I defined resx and resy (one per axis), at the result was ok. But in general, your code is the best example that I found surfing the web. Thanks a lot.

thank you so much

u're a lifesaver, thank you so much!

Thanks for all this, it helps a lot!

Come back pls!!!

Nice Tutor and Tutorial ! where can I get the sample data used in the tutorial? Thanks!

first of all congratulations for the content!!! would you know how to inform how the code would be to convert a raster (orthomosaic) tiff into ecw???

how can we do aspect analysis and slope analysis?