Skip to main content

Breathing Earth System Simulator (BESS) Gross Primary Production (GPP) and Evapotranspiration (ET) Model Python

Project description

Breathing Earth System Simulator (BESS) Model Python Implementation

CI

This software package is a Python implementation of the Breathing Earth System Simulator (BESS) model. It was re-implemented in Python by Gregory Halverson at Jet Propulsion Laboratory based on MATLAB code produced by Youngryel Ryu at Seoul University. The BESS model was designed to quantify global gross primary productivity (GPP) and evapotranspiration (ET) using MODIS with a spatial resolution of 1–5 km and a temporal resolution of 8 days. It couples atmospheric and canopy radiative transfer processes with photosynthesis, stomatal conductance, and transpiration models on sunlit and shaded portions of vegetation and soil. An artificial neural network emulator of Hideki Kobayashi's Forest Light Environmental Simulator (FLiES) radiative transfer model is used to estimate incoming solar radiation. This implementation of BESS was designed to process GPP at fine spatial resolution using surface temperature from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission and normalized difference vegetation index (NDVI) and albedo from the Spatial Timeseries for Automated high-Resolution multi-Sensor (STARS) data fusion system. 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 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. This software is being released according to the SPD-41 open-science requirements of NASA-funded ROSES projects.

Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
Lead developer
NASA Jet Propulsion Laboratory 329G

Youngryel Ryu (he/him)
yryu@snu.ac.kr
BESS algorithm inventor
Seoul National University

Hideki Kobayashi (he/him)
hkoba@jamstec.go.jp
FLiES algorithm inventor
Japan Agency for Marine-Earth Science and Technology

Robert Freepartner (he/him)
robert.freepartner@jpl.nasa.gov
MATLAB to python translation
Raytheon

Joshua Fisher (he/him)
jbfisher@chapman.edu
Concept development and project management
Chapman University

Kerry Cawse-Nicholson (she/her)
kerry-anne.cawse-nicholson@jpl.nasa.gov
Project management
NASA Jet Propulsion Laboratory 329G

Zoe Pierrat (she/her)
zoe.a.pierrat@jpl.nasa.gov
Algorithm maintenance
NASA Jet Propulsion Laboratory 329G

Claire Villanueva-Weeks (she/her)
claire.s.villanueva-weeks@jpl.nasa.gov
Code maintenance
NASA Jet Propulsion Laboratory 329G

Installation

Use the pip package manager to install this package

pip install breathing-earth-system-simulator

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

breathing_earth_system_simulator-1.5.3.tar.gz (75.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file breathing_earth_system_simulator-1.5.3.tar.gz.

File metadata

File hashes

Hashes for breathing_earth_system_simulator-1.5.3.tar.gz
Algorithm Hash digest
SHA256 32196bca53af2916196feb2becfdd657c1f14330257c72280b7d02ec95cab233
MD5 ce81b2ee88cb79a9ee346721bbb975c0
BLAKE2b-256 2c930cf6badabe5510c86d34ce6706bf3b91f541255371712e0044ff5a5d4238

See more details on using hashes here.

File details

Details for the file breathing_earth_system_simulator-1.5.3-py3-none-any.whl.

File metadata

File hashes

Hashes for breathing_earth_system_simulator-1.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5423976e9c2d56baca9aea5d00bb3cdd5f2839e6a693824683afe6af2d560451
MD5 433260266f1bb9a0db817c03f6865193
BLAKE2b-256 f7482982a76c9a24a7386e7378c670cf96b39e0f074cda407c8ab1072c4564b4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page