RSSc - Remote Sensing Scorecard
October 19, 2026
A collection of Jupyter notebooks that provide an end-to-end workflow for assessing montane meadow ecosystems using remote sensing data. The analysis integrates lidar-derived digital elevation models (DEMs), aerial multi-spectral imagery (NAIP), Sentinel-2 multispectral data, NOAA climgrid data, and global surface water data (JRC) to quantify stream characteristics, vegetation structure, and bare earth exposure.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | RSSc - Remote Sensing Scorecard |
| DOI | 10.5066/P1DYFKAF |
| Authors | Joshua W. von Nonn, Anna Petrasova |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Western Geographic Science Center - Main Office |
| Rights | This work is marked with CC0 1.0 Universal |
Related
Britt W Smith
Geographer
Geographer
Email
Related
Britt W Smith
Geographer
Geographer
Email