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I see you have ordered a large subset area - this could present an issue for 23 years of daily data. For such larger subsets, if you submit a few years at a time, it would probably be easier to download in a tarball.

Hi @ndchat, Thank you for contacting us! TESVIS is still processing several hundred pending orders. Your order is in the queue. As soon as your order is processed, you should receive an email.

Hi amirfarshadfar , Thank you for reaching out to us. The availability of surface elevation and canopy height datasets depends on the region of your interest. I have listed a few selected sources below: 1. GEDI (between 52 N to 52 S latitudes): https://search.earthdata.nasa.gov/search?fi=GEDI 2. ICE...

Hi @peteden, I'm sorry I missed your post earlier. Could it be that you have the netCDF file missing at `/xxxxxxx/daymet_v4_daily_na_prcp_1980.nc`, or that the file is corrupted? Could you try with another file? Thank you!

Hi peteden , Thank you for contacting us. One way to get the corners of a Daymet grid is to create the corner coordinates in Daymet's native projection (Lambert Conformal Conic, LCC) and then convert these coordinates to lat, lon. I have posted an example Python script here: https://github.com/rupes...

Hi zoe_sig , The following tutorials show how to get the `shot_number` variable for GEDI L4A. All GEDI footprint data (L1B, L2A, L2B, L4A) use the same `shot_number` scheme. https://github.com/ornldaac/gedi_tutorials/blob/main/3_gedi_l4a_exploring_data.ipynb https://github.com/ornldaac/gedi_tutorial...

Hi @role_model, Are you still seeing the "Forbidden error" when downloading GEDI L4A files using Earthdata search? I tried downloading this morning, and I could download the files successfully. Let us know if you are still seeing the issue.

Hi @khorramim , ICESat-2 products, such as ATL03/ATL08 , might be suitable for canopy heights. Other data products may fit your requirements: https://search.earthdata.nasa.gov/search?q=canopy%20height

Hi khorramim , The "white patches" in the gridded GEDI products, such as GEDI L3 canopy height metrics and GEDI L4B aboveground biomass density, are due to there being no good quality GEDI shots within the 1km x 1km grid. As GEDI collects more shots, these grids with no GEDI shots will be ...

@polczynskim, The available data tools and services vary depending on the product. Can you share which product(s) you are interested in?