ModImpNet (MODIS Import to netCDF): Import Snow cover NDSI and Land Surface Temperature (LST) from MODIS and produces a netCDF file from configuration files
Project description
ModImpNet
ModImpNet is a package that allows for automatic import of Snow cover NDSI and Land Surface Temperature (LST) from MODIS and produces a netCDF file from configuration files. The user only needs to provide a .toml and a .csv configuration files. Furthermore, credentials to AppEARS API (https://appeears.earthdatacloud.nasa.gov/api/) need to be specified in a .netrc file.
Thanks to this tool, the user will get snow cover and land surface temperature time series for any point location into a standardized netCDF format.
Installation
Use the package manager pip to install ModImpNet (find the PyPi page here: https://pypi.org/project/ModImpNet/).
pip install ModImpNet
Install all the required packages (dependencies) from the requirements.txt file.
pip install -r requirements.txt
Place requirements.txt in the directory where you plan to run the command. If the file is in a different directory, specify its path, for example, path/to/requirements.txt.
Usage
The package is better used directly on the command line with the built-in CLI
ModImpNet -f /<path>/<folder_name>/par/MODIS_config.toml
It is recommended to stick to the folder structure adopted in the folder ModImpNet/examples/MODIS_test_Martha. Simply create a folder for each application, and within it, create a par/ folder. This will hold two configuration files. Create the following directory structure::
/<folder_name>
/par
MODIS_config.toml
MODIS_stations.csv
The two files are:
- MODIS_config.toml: downloads and scales reanalysis data to produce meteorological time series at any point location:
[name]
task_name = <task_name>
[directories]
# this is the home directory that will contain par/ and download/
home_dir = '<path>/<folder_name>'
# this is the download destination directory
dest_dir = '<path>/<folder_name>/download'
# directory where the .netrc credential file is stored
credential_dir = '<path_to_credential_directory>'
# path to the csv configuration file
config_csv_path = '<path>/<folder_name>/par/MODIS_stations.csv'
[config]
# in the format YYYY/MM/DD to match with GlobSim
# Earliest date is '2000/02/24'
startDate = '<YYYY/MM/DD>'
endDate = '<YYYY/MM/DD>'
[download]
# how long shall we wait (in seconds) between submitting a task and giving up, suggested 1day=86400s
max_wait = 86400
# time between two status checks (in seconds), suggested 30s
time_sleep = 30
- MODIS_stations.csv: Land surface model of the mass and energy balance of the hydrological cycle which simulates ground thermal properties:
id,latitude,longitude
Site_name_1,lat_1,lon_1
...
Site_name_n,lat_n,lon_n
Once the package is run, a new download/ foilder is automatically created, and is populated with two csv files containing the snow cover and land surface temperature data, together with a text log file. Finally, when the conversion is done too, the final netCDF file is also created. We get the following directory structure::
/<folder_name>
/par
MODIS_config.toml
MODIS_stations.csv
/download
<task_name>_MOD10A1_061_results.csv
<task_name>_MOD11A1_061_results.csv
MODIS_log_<datetime>.txt
Examples
The user can find some inspiration on how to use ModImpNet by looking at the examples provided.
License
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