How to find, access, and work with ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station) Data.

This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.

This software calculates the Energy Yield of single and multi-junction solar cells. It consists of individual modules taking care of deriving realistic irradiance data, fast optical and electrical simulations, and derivation of the hourly resolved energy yield.

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

Tutorials for getting started to work with ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) data.

Tutorial for cloud masking a single scene from ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) imagery.

ECOSTRESS Collection 2 Gridded and Tiled Product Generation Software

Common Metadata Repository (CMR) Search for ECOSTRESS Collection 2

Tutorial for cloud masking a batch of scenes from ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) imagery.

ECOSTRESS Collection 2 Data Product Granule Encapsulation Classes

Tutorial for applying QC Flags to scenes from ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) imagery.

Tutorial for filtering ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) scenes for good imagery (low cloud cover, low null pixels, and georeferenced).

ECOSTRESS Collection 3 JPL Evapotranspiration (JET) Product Generating Executable (PGE)

ECOSTRESS Collection 2 JPL Evapotranspiration (JET) Product Generating Executable (PGE)

ECOSTRESS Collection 2 STARS Data Fusion Product Generating Executable (PGE)

Tutorial for creating a composite image from ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) scenes.

Tutorial for creating monthly composite images from ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) scenes.

Common Metadata Repository (CMR) Search for ECOSTRESS Collection 2

MODIS/Terra+Aqua Land Cover Type CMG Yearly L3 Global 0.05 Deg 2019 Collection 6 Dataset Python Tool

The main goal of the project is to collect data from various sources (satellite - NASA, Modis and Ecostress) as well as ground-based meteorological measurements, and then to calculate evapotranspiration processes based on the Ts-Ta formula