Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/2352 |
|---|---|
| Version | 1 |
| Project | |
| Published | 2024-09-30 |
| Usage | 33 downloads |
Description
This dataset provides maps of vegetation types for the Atchafalaya and Terrebonne basins in coastal Louisiana, U.S., derived from NASA's Next Generation Airborne Visible Infrared Imaging Spectrometer (AVIRIS-NG) imagery acquired during spring and fall of 2021 for the Delta-X campaign. Vegetation types were classified from Level-2B BRDF-adjusted surface reflectance. Local pixel reflectance spectra coincident with herbaceous vegetation field samples and vegetation plot data from Louisiana's Coastwide Reference Monitoring System were used to generate a machine learning-based model to classify vegetation types. This model was then applied to the AVIRIS-NG mosaic imagery to map vegetation types across the Atchafalaya and Terrebonne Basins. The data are provided in cloud optimized GeoTIFF (COG) format.
Science Keywords
- LAND SURFACE
- LAND USE/LAND COVER
- LAND USE/LAND COVER CLASSIFICATION
- BIOSPHERE
- VEGETATION
- VEGETATION COVER
Data Use and Citation
This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 1 companion files.
- DeltaX_L3_AVIRIS-NG_Veg_Types.pdf
Additional Resources
| Type | Title |
|---|---|
| Workshop | 2022 Delta-X Applications Workshop |
| Workshop | 2024 Delta-X Applications Workshop |
| Workshop | Delta-X Open Data Workshop |
| Webinar | Exploring River Deltas with NASA Data: The Delta-X Mission |