A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
This repository contains the original raw data captured with a hyperspectral sensor mounted on a drone, as well as the reprocessed spectral library of red snow algal blooms from several locations on Livingston Island (South Shetland Islands, Antarctica). It also includes custom-developed code for da...
| Autores: | , , , , , , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/408998 |
| Acceso en línea: | http://hdl.handle.net/10261/408998 |
| Access Level: | acceso abierto |
| Palabra clave: | Red snow algae Antarctica Drone Ice melting Albedo Hyperspectral Spectral library |
| Sumario: | This repository contains the original raw data captured with a hyperspectral sensor mounted on a drone, as well as the reprocessed spectral library of red snow algal blooms from several locations on Livingston Island (South Shetland Islands, Antarctica). It also includes custom-developed code for data processing/handling and for scaling the methodology to its application using Sentinel-2 satellite data. These datasets were collected during the second Antarctic campaign of the PiMetAn project in 2022 and were used to obtain the results published in Román et al. 2025 (DOI: available soon). This information has been essential for determining the true spatial extent of these snow algal blooms across the entire South Shetland Islands archipelago, which potentially lowers surface albedo and accelerates coastal snow and ice melt. |
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