SEBAL Soil Heat Flux Python Package

This package provides a Python implementation of the soil heat flux (G) calculation from the Surface Energy Balance Algorithm for Land (SEBAL) model. SEBAL is a remote sensing-based approach for estimating evapotranspiration and energy balance components at the land surface. The soil heat flux is a key part of the energy balance and is calculated using net radiation, surface temperature, NDVI, and albedo.

Gregory H. Halverson (they/them)
[email protected]
NASA Jet Propulsion Laboratory 329G

Features

• Implements the SEBAL soil heat flux (G) calculation using empirical relationships.
• Accepts both numpy arrays and Raster objects for input data.
• Includes vegetation correction based on NDVI.

Installation

Install the SEBAL-soil-heat-flux package from PyPi using pip:

pip install SEBAL-soil-heat-flux

Usage

Import the main function and use it with your raster or numpy array data:

from SEBAL_soil_heat_flux import calculate_SEBAL_soil_heat_flux

G = calculate_SEBAL_soil_heat_flux(Rn, ST_C, NDVI, albedo)

Where:

• Rn: Net radiation at the surface
• ST_C: Surface temperature in Celsius
• NDVI: Normalized Difference Vegetation Index
• albedo: Surface albedo

References

Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., & Holtslag, A. A. M. (1998). A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. Journal of Hydrology, 212-213, 198–212. https://doi.org/10.1016/S0022-1694(98)00253-4