Replies: 4 comments 13 replies
-
Hi Chris, the module is very compute-heavy. There might be some ways of (slightly) improving performance, but first (as you are using the default values for threading): how many CPUs do you have on this system? Best, |
Beta Was this translation helpful? Give feedback.
-
Just on a side note: force-level1-csd is the interface for Google Cloud Storage, which only hosts Landsat Collection 1 data. You may want to consider switching over to force-level1-landsat for Landsat downloads (l1-csd is still fine for Sentinel-2). |
Beta Was this translation helpful? Give feedback.
-
OK, this means you are wasting a lot of compute resources. The data fusion is solely compute-bound. Better use 1/40/1. This slightly overtasks, but it will ensure that all CPUs are doing something. This will probably cut the processing time into half. Other ways of speeding things up are by subsetting as much as possible. But in the end, it will definitely take quite some time... |
Beta Was this translation helpful? Give feedback.
-
Hi @davidfrantz, I want to follow-up with this. Even though the processing time was excessive, it worked! However, my projection was off (attempted to use WKT string) and it sent my fully processed German tiles into the Atlantic (I can see vegetation in the images). I switched back to the GLANCE7 projection and it reduced my processing time immensely, but now I have the issue that it doesn't process the entire LND08 scene. It processes one strip and blacks out the rest of the scene. I attached my parameter files and the L8_IMP product. Chris L2IMP-skeleton.txt |
Beta Was this translation helpful? Give feedback.
-
Hi all,
I am seeking to increase the spatial resolution of Landsat-8 (and potentially Landsat-9) to that of Sentinel-2. I originally sought to harmonize all Landsat satellites with Sentinel-2, creating a long harmonized time series, but it seems that this isn't possible with FORCE since harmonization must be done with active sensors that have overlapping time frames. Simply using RESOLUTION = 10 to perform analysis at 10m is useful but since LND08 pixels are duplicated 9x, I think harmonization (via ImproPhe) would provide a more accurate dataset that also aligns the LND08 grid with the S2 one.
Using the submodule Level-2 ImproPhe, I have attempted to harmonized LND08 & S2 imagery for year 2020. As it stands, the ETA is 01m 04d 21h 35m 13s (running already for roughly 16.5 hrs; nthread - 8/22/4). This seems like a rather excessive amount of time. Attached is my L2IMP .prm file (attempted using force-higher-level, not force-improphe). The ./level2 folder has a single datacube-definition.prj for the entire datacube as all images were downloaded and pre-processed via the same force-level1-csd and force-higher-level programs.
L2IMP-skeleton.txt
Chris
Beta Was this translation helpful? Give feedback.
All reactions