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Spectral Adjustment of Surface reflectance dataset

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The data set is composed by three hyperspectral data sets:

- From USGS spectral measurements (900 spectra)

- From simulated reflectance by the ProSail radiative transfer model (20,000 spectra)

- From real-world Hyperion observations (10,000 spectra)

Contributors

Joint Research Centre European Commission

How to cite

claverie, martin (2026): Spectral Adjustment of Surface reflectance dataset. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.X0RVFH0; 10.2905/6C90C9F0-E355-4EB2-9890-13244F9A5D99 PID: http://data.europa.eu/89h/6c90c9f0-e355-4eb2-9890-13244f9a5d99

Keywords

hyperspectralRemote sensingSatellite

Data access

FTP to download the data
CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.
Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Additional information

Published by
European Commission, Joint Research Centre
Contact email
martin.claverie (at) ec.europa.eu
Update frequency
other

The event occurs with another type of regularity (for instance, every leap year).

Data theme(s)
Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2022-01-01
Created date
11 Oct 2022 13:45
Modified date
27 Oct 2022 09:36
Dataset identifier
http://data.europa.eu/89h/6c90c9f0-e355-4eb2-9890-13244f9a5d99
Other identifiers
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