Closed megalulu closed 2 years ago
Hi Meghana,
It would be helpful if you could provide the tile or the minimal amount of a tile to reproduce the problem. Does the tool make any additional output in terminal? How large is the full file?
Also, this is probably not related to the WhiteboxTools R frontend (https://github.com/giswqs/whiteboxR) if you are encountering the problem while running whitebox from the terminal. It would be best to bring this issue up (with data to reproduce the issue) on https://github.com/jblindsay/whitebox-tools/issues
Hello Andrew,
Thanks for your response. I will post the problem in the right github issues page with the tile in quesiton.
Meghana
Hello, I am using the whitebox tool Time In Daylight with a digital surface model tile located in Quebec. I need to know where shading from overhanging vegetation on a river occurs when the sun is at it's heightest point in the sky(about 11h45) on the longest day (june 21st). I am running the algorithm through the terminal on a windows computer. The parameters I am using are : input = DEM tile (path towards DEM tile) output = path towards output file az_fraction = 30.0 max_dist = 100.0 lat=45.9397013082792 long=-71.6258803600092 utc_offset=-05:00 start_day=172 end_day=172 tart_time=09:45 end_time=14:00
These parameters give me a coherent output (raster with values between 0 and 1) when I run it on a subset of the DSM tile. I've tried 4 different subsets of varying size (one very close to the original tile size). However, when I run the algorithm with the exact same parameters on the entire DSM tile, the output is a raster full of NAs. I've tried subsetting to the extent of the tile, and still the results are not coherent (raster full of NA) I have managed to run the algorithm on the entire tile, but for a longer periode of time, but the computation takes a long time, so I would to reduce the window of time in which I'm running the algorithm.
Is there anyway you could help me with this problem. I can provide the DSM tile if needed.
Thank you very much.
Meghana