pyWaPOR Bert Coerver - FAO 5 May 2023

1. pyWaPOR
Bert Coerver

2. • Python package. (install with pip)
• Run ETLook.
• Download & prepare
ETLook inputs.
pyWaPOR
• Can be applied globally.
• Custom parameterisation.
• Use and combine different
input datasets.
• Open source code. (check bitbucket)

3. pyWaPOR

4. pyWaPOR
pre_et_look et_look
pre_se_root se_root
Workflow
• Download data
• Reproject
• Smooth (Whittaker)
• Sharpen (pyDMS)
• Gapfill
• Interpolate & Composite
• Calculate E, T & Biomass
Prod. from Inputs

5. • Landsat 5,7,8 & 9
• Sentinel 2 & 3
• VIIRS
• MODIS
• ERA5, GEOS5, MERRA2
• CHIRPS
• Copernicus DEM
and more...
Datasets

6. Smoothing
Eilers, Paul H. C. “A Perfect
Smoother.” Analytical
Chemistry 75, no. 14 (July 1,
2003): 3631–36.

7. Smoothing
Eilers, Paul H. C. “A Perfect
Smoother.” Analytical
Chemistry 75, no. 14 (July 1,
2003): 3631–36.

8. Sharpening
Gao, Feng, William Kustas, and Martha Anderson. “A Data Mining Approach for Sharpening Thermal Satellite Imagery over Land.” Remote
Sensing 4, no. 11 (October 26, 2012): 3287–3319. https://doi.org/10.3390/rs4113287.

9. Trapezoid Method
Yang, Yuting, Huade Guan, Di Long, Bing Liu, Guanghua Qin, Jun Qin, and Okke Batelaan. “Estimation of Surface Soil Moisture from Thermal
Infrared Remote Sensing Using an Improved Trapezoid Method.” Remote Sensing 7, no. 7 (June 24, 2015): 8250–70.
https://doi.org/10.3390/rs70708250.

10. Running pyWaPOR

11. • Installation can be
challenging for some.
‣ Create "install.exe"?
• Using Python is a big barrier
to entry.
‣ Create a GUI?
• Unstable data servers.
• Lots of interest.
• Servers for v3 datasets seem
more stable.

12. • Calculate ET, NPP and WP at high resolutions.
• Easily create data-cubes in netCDF format.
• Use download tools or bring your own data.
• Experiment with and adjust the model parameters.
Conclusions
Documentation
https://www.fao.org/aquastat/py-wapor/index.html
Repository
https://bitbucket.org/cioapps/pywapor/src/master/
Questions/Issues
bert.coerver@fao.org