Published February 23, 2024
| Version v1
Source Code
Open
pyWaPOR (Python package)
- Creators
- Food and Agriculture Organization
Description
PyWaPOR is a user-friendly Python package designed for generating detailed water productivity data using satellite imagery and local information. This tool extends the reach of the WaPOR database, enabling users to analyze water use and productivity in agriculture.
Key Features:
- Data Sources: PyWaPOR can automatically download remote-sensing data from various sources, including Landsat 5-9, Sentinel 2-3, MODIS, VIIRS, and more.
- Data Pre-processing: The package ensures consistency by pre-processing datasets, aligning projections and resolutions, masking invalid or low-quality pixels, filling gaps, and smoothing outliers.
- Model Integration (ETLook): PyWaPOR integrates with the ETLook model, ingesting prepared data to calculate water productivity, actual evapotranspiration, biomass production, and various other variables at up to 20 meters spatial resolution on a daily basis.
- Export Capabilities: Results can be exported in netCDF files, compatible with popular GIS software, facilitating further analysis and integration into existing workflows.
The tool is designed for users with basic knowledge of remote sensing, geospatial analysis, and programming. Ideal for researchers, practitioners, governments, and NGOs interested in detailed water productivity insights in agriculture.