SR_VHR: empirical estimation of VHR surface reflectance (SR-lite)

The workflow for estimating surface reflectance for commercial VHR multispectral imagery (SR_VHR).

Title

Workflow Contributors	Role	Affiliation
Paul M .Montesano	Author ; Evaluator	NASA Goddard Space Flight Center Data Science Grou
Matthew J. Macander	Author ; Evaluator	Alaska Biological Research, Inc.
Jordan A. Caraballo-Vega	Developer	NASA Goddard Space Flight Center Data Science Group
Melanie J. Frost	Author ; Evaluator	NASA Goddard Space Flight Center Data Science Group
Jian Li	Developer	NASA Goddard Space Flight Center Data Science Group
Glenn S. Tamkin	Developer	NASA Goddard Space Flight Center Data Science Group
Mark L. Carroll	PI	NASA Goddard Space Flight Center Data Science Group (Lead)

References:

• User Guide (October 2024): https://docs.google.com/document/d/1tajOxCI53WAvnyrkgYiPNU7oTiBr-HOiFmUGfZN44lM/edit#heading=h.cbjbmv6c5chq

• Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023): https://ieeexplore.ieee.org/document/10670299