Gregory H. Halverson (they/them)
[email protected]
Lead developer
NASA Jet Propulsion Laboratory 329G
Joshua B. Fisher (he/him)
[email protected]
Algorithm inventor
Chapman University
Claire Villanueva-Weeks (she/her)
[email protected]
Code maintenance
NASA Jet Propulsion Laboratory 329G
This software package is a Python implementation of the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model of evapotranspiration. It was re-implemented in Python by Gregory Halverson at Jet Propulsion Laboratory based on MATLAB code produced by Joshua Fisher. The PT-JPL model was designed for processing remote sensing data. It has the ability to partition latent heat flux into canopy transpiration, interception, and soil evaporation.
The software was developed as part of a research grant by the NASA Research Opportunities in Space and Earth Sciences (ROSES) program. It was designed for use by the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission as a precursor for the Surface Biology and Geology (SBG) mission. However, it may also be useful for general remote sensing and GIS projects in Python. This package can be utilized for remote sensing research in Jupyter notebooks and deployed for operations in data processing pipelines.
The software is being released according to the SPD-41 open-science requirements of NASA-funded ROSES projects.
This software package is the python implementation of the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model of evapotranspiration.
- processing remote sensing data with the PT-JPL model
- ability to partition latent heat flux into canopy transpiration, interception, and soil evaporation
The python package was re-implemented in python by Gregory Halverson based on MATLAB code produced by Joshua Fisher.
This software makes the PT-JPL evapotranspiration model accessible for remote sensing researchers.
Does your work relate to current or future NASA (include reimbursable) work that has value to the conduct of aeronautical and space activities? If so, please explain:
This software package was developed as part of a research grant by the NASA Research Opportunities in Space and Earth Sciences (ROSES) program. This software was designed for use by the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission as a precursor for the Surface Biology and Geology (SBG) mission, but it may be useful generally for remote sensing and GIS projects in python.
This software can be utilized for remote sensing research in Jupyter notebooks and deployed for operations in data processing pipelines.
Are there any known commercial applications? What are they? What else is currently on the market that is similar?
This software is useful for both remote sensing data analysis and building remote sensing data pipelines.
- NASA ROSES
- ECOSTRESS
- SBG
What are the current hardware and operating system requirements to run the software? (Platform, RAM requirement, special equipment, etc.)
This software is written entirely in python and intended to be distributed using the pip package manager.
This software has been deployed for ECOSTRESS and ET-Toolbox.
Please identify the customer(s) and sponsors(s) outside of your section that requested and are using your software.
This package is being released according to the SPD-41 open-science requirements of NASA-funded ROSES projects.
On Apple Silicon, the pykdtree package needs to be compiled from source to avoid conflict with OpenMP.
pip install --no-binary pykdtree pykdtree
pip install .[macos]
pip install .