Vicarious calibration data for the CHIME project: Dataset of ground field spectroscopy measurements simultaneous with the flight of the AVIRIS-ng sensor at invariant target sites in Doñana National Park and Ríotinto mines (Huelva, Spain)

In the scope of the Copernicus Hyperspectral Imaging Mission (CHIME) support activity, absolute radiometric field measurements were carried out to cross-calibrate data response of the airborne AVIRIS-NG, spaceborne DESIS and PRISMA, and UAV hyperespectral sensors. Near-simultaneous field spectral da...

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Detalles Bibliográficos
Autores: Díaz-Delgado, Ricardo, Aragonés, David, Afán, Isabel, Bustamante, Javier, Ruiz Cánovas, Carlos, Ballasote, María Dolores, Nieto, José M., Ong, Cindy
Tipo de recurso: conjunto de datos
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/252082
Acceso en línea:http://hdl.handle.net/10261/252082
Access Level:acceso abierto
Palabra clave:Vicarious calibration
DESIS
PRISMA
AVIRIS-NG
UAV
ASD
Descripción
Sumario:In the scope of the Copernicus Hyperspectral Imaging Mission (CHIME) support activity, absolute radiometric field measurements were carried out to cross-calibrate data response of the airborne AVIRIS-NG, spaceborne DESIS and PRISMA, and UAV hyperespectral sensors. Near-simultaneous field spectral data were collected at invariant targets in Doñana National Park and Ríotinto mining area (Huelva, Spain) on 25 June 2021. Sand dune surface and uniform benign residuals of treated mine waste were selected as invariant target sites, respectively. These dataset consists of the field spectral data. High spectral resolution field surface reflectance data were acquired using the Analytical Systems Devices (ASD) spectrometers measuring between the visible (VIS) to short wave infrared (SWIR) (400-2500 nm) ranges within ± 1 hour from the airborne data acquisition, which occurred at local noon. Collection methodology is described in Malthus, Ong et al. 2019. Inter-comparisons between these sensors are being examined as a precursor to raw materials and natural resources managements applications