- HOW TO OPEN ARF FILE IN PYTHON HOW TO
- HOW TO OPEN ARF FILE IN PYTHON MANUAL
- HOW TO OPEN ARF FILE IN PYTHON SOFTWARE
- HOW TO OPEN ARF FILE IN PYTHON CODE
- HOW TO OPEN ARF FILE IN PYTHON DOWNLOAD
The first constructs the command line options and passes it to the existing GEDI Finder tool and pulls a list of the GEDI files that are on the html webpage.u is your EarthData login username (Note an EarthData account is required)
HOW TO OPEN ARF FILE IN PYTHON DOWNLOAD
o is the local path where you want to download the data d is the date range specified in the format YYYY-MM-DD with the start and end data separated with a space
These should be passed to the terminal separated by spaces. bb is the bounding box given in UpperLeftLon (maxY), UpperLeftLat (minx), LowerRightLon (minY) and LowerRightLat (maxX). u MyEarthDataUsername -pw MyEarthDataPassword An overview and example of SearchPullGEDI.py is: python SearchPullGedi.py -p GEDI02_B -v 001 \ SearchPullGEDI.py requires a number of command line options that include GEDI product, version, bounding box, output path and Earthdata login credentials. It also allows an optional date range to be specified if users are only interested in data collected during a specific time period. It relies heavily on the GEDI Finder tool to search for the data that intersects a bounding box and is, in its simplest form, a wrapper for this tool. SearchPullGEDI.py was written to make the best of these existing tools and enable the automation of the whole search and download process.
HOW TO OPEN ARF FILE IN PYTHON SOFTWARE
While this is a simple method for accessing data, it requires that a user either manually downloads each one or passes each name to software (wget, curl) to pull the data. Users pass in bounding box dimensions alongside the GEDI product and version they require and it returns a subset of the list of data that intersects their bounding box. Since February 2020, this has been supplemented by a web tool called GEDI Finder ( ). This allows easy access to all the data but requires that the user knows the orbit that they require. To date, GEDI data is available via two means:Įarthdata ( ) provides the data but does not currently provide sufficient visualization so that users can see whether the data intersects their ROI.Īlternatively, the NASA LP DAAC provide the data in list/ftp format ( ). Further to this, GEDI has the ability to point its lasers so that the area on the ground imaged is not necessarily that at nadir beneath the sensor. While this enables wider coverage, its data acquisition is not consistent. This prevents repeat acquisitions in the same way that Landsat or Sentinel satellite data is collected. GEDI is mounted on the ISS and therefore its orbit is dictated by that of the ISS. GEDI’s precise measurements of forest canopy height, canopy vertical structure, and surface elevation will be critical to characterizing and understanding carbon and water cycling processes to further our knowledge of the world we live in. Each footprint is separated by 60 m in the along track direction, at an across-track distance of 600 m between each of the 8 tracks. The GEDI instrument is a geodetic-class lidar with 3 lasers that produce 8 parallel tracks. Each laser illuminates a 25 m footprint on the ground and fires at a rate of 242 times per second. The Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne lidar instrument mounted on the International Space Station (ISS). If you copy the script to the same directory as the notebook and either open a terminal / command prompt and navigate to this directory or select ‘File’ -> ‘New’ -> Terminal in Jupter Lab to open a terminal within your browser you can run the script using python SCRIPT_NAME so for this example: This will give you a Python script to download. Export as Pythonįrom File -> Export Notebook As… in the Jupyter Lab menu select ‘Export Notebook to Executable Script’. This means removing cells which print out lots of data or produce plots (unless plots are an output of the notebook).
HOW TO OPEN ARF FILE IN PYTHON CODE
The first step is to tidy up the notebook so it only contains the code that is required. Finding Plastic Patches in Coastal Waters using Optical Satellite Data. Biermann, L., Clewley, D., Martinez-Vicente, V. The xarray library is used to read the netCDF file, calculate FDI and write back out to a netCDF file.
HOW TO OPEN ARF FILE IN PYTHON MANUAL
You can download ACOLITE and the manual from here. If you are interested in running the notebook a tutorial on using ACOLITE is available from a NEODAAS training course.
HOW TO OPEN ARF FILE IN PYTHON HOW TO
Jupyter notebooks are great for developing a method but what about if you need to run the method for lots of files? This post describe how to go from a notebook to a script which you can run on the command line and apply to multiple files.įor this example we’ll be using a notebook written to calculate the Floating Debris Index (FDI ) and apply to a Sentinel 2 netCDF file processed using ACOLITE.
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