Date (Revision)

2022-05-17T19:09:10

Edition

1.0

Edition date

2015-01-01

Citation identifier

ba5aec36-a8ba-43ab-93ed-db95585f6cf2

Cited responsible party

Organisation name	Individual name	Electronic mail address	Role
UMR TETIS - CNRS	Christiane Weber	Christiane.Weber@cnrs.fr	Principal investigator

Purpose

Provide 1.6 spatial resolution full VNIR - SWIR image

Status

Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
UMR TETIS - CNRS	Christiane Weber	Christiane.Weber@cnrs.fr	Principal investigator

Maintenance and update frequency

Not planned

GEMET - INSPIRE themes, version 1.0

• Land cover

TETIS Thesaurus, version 1.0 21112019

• HYEP

Use limitation

This work is licensed under a Creative Commons Attribution 4.0 License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0 ).

Access constraints

License

Use constraints

License

Classification

Unclassified

User note

unclassified

Classification system

no classification in particular

Handling description

description

Spatial representation type

Grid

Distance

1.6  m

Language

English

Character set

UTF8

Topic category

• Geoscientific information
• Environment

Begin date

2015-07-01T00:00:00Z

End date

2015-07-31T00:00:00Z

Supplemental Information

some additional information

Reference system identifier

EPSG / 4326

Distribution format

Name	Version
ENVI BSQ	1.0

OnLine resource

Protocol	Linkage	Name
file for download	https://zenodo.org/record/3611240/files/HySPex-2m.7z?download=1	HySPex image

Hierarchy level

Dataset

Statement

Full hyperspectral VNIR-SWIR ENVI standard image obtained from the coregistration of both VNIR and SWIR ones through a signal aggregation process that allowed to obtain a synthetic VNIR 1.6 m spatial resolution image, with pixels exactly corresponding to natif SWIR image ones. First, a spatially resampled 1.6 m VNIR image was built, where output pixel values were calculated as the average of the VNIR 0.8 m pixel values that spatially contribute to it. Then, ground control points (GCP) were selected over both images and SWIR one was tied to the VNIR 1.6 m image using a bilinear resampling method using ENVI tool. This lead to a 1.6 m spatial resolution full VNIR-SWIR image.

Metadata

File identifier

ba5aec36-a8ba-43ab-93ed-db95585f6cf2 XML

Metadata language

English

Character set

UTF8

Parent identifier

HYEP Project

83867504-286c-4436-b3fc-436ffdc1d912

Hierarchy level

Dataset

Date stamp

2022-05-17T19:27:28

Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

Metadata author

Organisation name	Individual name	Electronic mail address	Role
ONERA	Xavier Briottet	xavier.briottet@onera.fr	Point of contact
UMR TETIS - CNRS	Christiane Weber	Christiane.Weber@cnrs.fr	Principal investigator
UMR TETIS - CNRS	Claudia Lavalley	claudia.lavalley@cnrs.fr	Publisher