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@JPL-Evapotranspiration-Algorithms

Jet Propulsion Laboratory Evapotranspiration Algorithms

README.md

Jet Propulsion Laboratory Evapotranspiration Remote Sensing Algorithms

This organization will contain the evapotranspiration remote sensing algorithms developed at NASA Jet Propulsion laboratory for the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and Surface Biology and Geology (SBG) missions. These algorithms are being developed by a NASA Research Opportunities in Space and Earth Sciences (ROSES) project Thermally Sensitive ECOSTRESS Evapotranspiration Model Ensemble Evaluation and Development.

The algorithms under development here include:

The MOD16 algorithm from VIIRS Collection 2 is also being adapted for use by ECOSTRESS and SBG as well as pyTSEB.

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  1. PT-JPL PT-JPL Public

    Priestley Taylor Jet Propulsion Laboratory (PT-JPL) Evapotranspiration Model Python Implementation

    Jupyter Notebook 13 5

  2. BESS-JPL BESS-JPL Public

    Breathing Earth System Simulator (BESS) Gross Primary Production (GPP) Model Python Implementation

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  3. PT-JPL-SM PT-JPL-SM Public

    Priestley Taylor Jet Propulsion Laboratory Soil Moisture (PT-JPL-SM) Evapotranspiration Model Python Implementation

    Jupyter Notebook 9 5

  4. STIC-JPL STIC-JPL Public

    Surface Temperature Initiated Closure (STIC) Evapotranspiration Model Python Implementation

    Jupyter Notebook 6 3

  5. modland modland Public

    georeferencing for MODIS/VIIRS sinusoidal tiles

    Python 4 2

  6. PM-JPL PM-JPL Public

    JPL implementation of the MOD16 evapotranspiration remote sensing model

    Jupyter Notebook 4 2

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