Spectral Indices Using Spyndex Catalog and UAS Imagery
Authors: | |
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Owners: | Karem Meza |
Type: | Resource |
Storage: | The size of this resource is 43.6 KB |
Created: | Feb 10, 2024 at 4:08 a.m. |
Last updated: | Feb 12, 2024 at 3:39 p.m. |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 621 |
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Abstract
Spectral Indices (SIs) were selected from the Awesome Spectral Indices (ASI) catalog (https://github.com/awesome-spectral-indices/awesome-spectral-indices) This catalog contains 231 SIs and is divided into 8 groups, which mostly represent specific application domains, namely: vegetation, water, burn, snow, urban, radar, soil, and kernel indices (Montero et al. 2023). Seventy-night SIs were selected from the ASI catalog, which were computed from Uncrewed Aircraft System (UAS) multispectral (blue, green, red, red edge, and near-infrared) and thermal bands. The Jupyter Notebook has the SIs formulas and compute them by having thermal and multispectral UAS information.
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Eagle Lake Golf Course, Utah
North Latitude
41.1689°
East Longitude
-112.0475°
South Latitude
41.1635°
West Longitude
-112.0545°












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How to Cite
Meza, K., A. F. Torres (2024). Spectral Indices Using Spyndex Catalog and UAS Imagery, HydroShare, http://www.hydroshare.org/resource/d6f3bd97f450460e93ddb124c3f05120
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