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A sea ice detection algorithm to map sea ice using MODIS visible and infrared data at 500 m resolution.

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IceMap500

A sea ice detection algorithm to map sea ice using MODIS visible and infrared data at 500 m resolution. Tested under Unix systems.

Credits: Joan A. Parera-Portell, Raquel Ubach and Charles Gignac. See https://doi.org/10.5194/tc-15-2803-2021 for technical details on the algorithm.


REQUIREMENTS

-Python 3

Including the following libraries:

-numpy

-osgeo

-jenkspy

-whitebox

-HEG Tool, https://newsroom.gsfc.nasa.gov/sdptoolkit/HEG/HEGHome.html

INPUT FILES

-MOD021KM / MYD021KM

-MOD02HKM / MYD02HKM

-MOD35_L2 / MYD35_L2

MODIS original hdf data must be stored in a directory structured by year and month:

-->data_dir

    -->yyyy
  
        -->mm

All output maps are projected in Lambert Azimuthal Equal Area.

To run the script simply type python3 [path]/icemap500.py in your terminal. The script will automatically ask the user for input and options.

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A sea ice detection algorithm to map sea ice using MODIS visible and infrared data at 500 m resolution.

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