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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?

Hi @polczynskim, All PAR data products available are listed here: https://search.earthdata.nasa.gov/search?fs10=Photosynthetically+Active+Radiation&fsm0=Vegetation&fst0=Biosphere

In addition, MCD18A2/MCD18C2 provide daily PAR: https://search.earthdata.nasa.gov/search?q=mcd18

Yes, that's correct. The default quality flags in the `quality_flag` variable might be easier to use.

1) A good quality shot has a "sensitivity" range from 0 to 1. A "valid_range" attribute for the "sensitivity" provides these values. GEDI uses a threshold of 0.9 over land and 0.5 over the ocean to compute quality flags. 2) Please refer to the user guide (Table 6) for d...

Hi ckhamila , Thank you for posting your questions. 1) GEDI can be used for time series analysis if you find enough footprints in your study plots across time. Now, GEDI has collected billions of shots for more than three years. However, depending on the location of your study area, the density of a...

Hi tomosarliuxiao , The corresponding L2A file for GEDI04_A_2022118231435_O19123_02_T05733_02_003_01_V002 is GEDI02_A_2022118231435_O19123_02_T05733_02_003_02_V002.h5 : L4A: https://search.earthdata.nasa.gov/search/granules?p=C2237824918-ORNL_CLOUD&pg[0][v]=f&pg[0][id]=*2022118231435_O19123_...

Hi madschony , Thank you for contacting us. The Global Subsets tool only allows setting the x (E-W) and y (N-S) as integers. If you order a subset with x and y as 1km for MOD13Q1, it should result in a subset size of 2.25km x 2.25km with a total of 81 pixels. The 41st pixel (center) will be your 0.2...

Hi @patkacic, Thank you for noticing the bug, which we have now fixed. Also, the scripts in the Jupyter notebooks are available here, if you like to run them directly from the command line:
https://github.com/ornldaac/gedi_tutorials/tree/main/scripts