HyperDrone Flight 20200929 - hyperspectral in situ radiometry and hyperspectral imagery at different altitudes for plastics detection

Airborne remote-sensed hyperspectral in-situ radiometry data and hyperspectral imagery collected by the NERC Field Spectroscopy Facility (FSF) Headwall Co-aligned VNIR and SWIR imager (450-2500 nm) with LiDAR instruments mounted on a drone platform.

These hyperspectral data collected over a sandy and rocky shore have associated uncertainty estimations that will be used to develop of radiometric proxies for plastics detection and assess future mission requirements.

This dataset was collected on 29th September 2020 at Tyninghame beach, East Lothian, Scotland using a range of different plastic targets.

Date (Publication): 2023-04-28T14:16:02

Date (Creation): 2023-04-28T14:16:02

Citation identifier: https://catalogue.ceda.ac.uk/uuid/2485214239134768820ffb50fb5513bc

Citation identifier: NERC EDS Centre for Environmental Data Analysis / 2485214239134768820ffb50fb5513bc

Citation identifier: doi / 10.5285/2485214239134768820ffb50fb5513bc

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Plymouth Marine Laboratory		unknown	Author
Unavailable	Mata, Aser	Unavailable	Author
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Custodian
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Distributor
Unavailable	Mata, Aser	Unavailable	Principal investigator
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	pointofContact
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Publisher

Maintenance and update frequency: Not planned

Update scope: Dataset

Keywords

UAS
UAV
drone
hyperspectral
in-situ
Plastic
macroplastic
detection

GEMET - INSPIRE themes, version 1.0

orthoimagery

Access constraints: Other restrictions

Other constraints: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.

Use constraints: Other restrictions

Other constraints: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.

Spatial representation type: Grid

Language: English

Topic category

Imagery base maps earth cover

Begin date: 2020-09-29T00:00:00

End date: 2020-09-29T23:59:59

Unique resource identifier: WGS 84

Distribution format

Name	Version
Envi Binary and BADC-CSV

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://catalogue.ceda.ac.uk/uuid/2485214239134768820ffb50fb5513bc	CEDA Data Catalogue Page

OnLine resource

Protocol	Linkage	Name
	http://data.ceda.ac.uk/neodc/hyperdrone/data/2020/HyperDrone_20200929	DOWNLOAD

Hierarchy level: Dataset

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Statement: The following sensors were loaned from NERC Field Spectroscopy Facility and used in the HyperDrone project:

• The HR-1024i hyperspectral spectrometer from the Spectra Vista Corp. (SVC) covering the range 350-2500 nm.

• The hyperspectral Headwall co-aligned imager (pushbroom) covering the VNIR and SWIR

region (450-2500 nm) mounted on a DJI M600 drone platform. This sensor is a instrument able to collect LiDAR data at the same time for direct geo-rectification via the manufacturer software.

A ReadMe file is included in this project that explains in detail the dataset collected in this project and the processing stages.

Metadata

File identifier: 2485214239134768820ffb50fb5513bc XML

Metadata language: English

Character set: UTF8

Parent identifier: 34038fecaaca472b9281184718841acf
34038fecaaca472b9281184718841acf

Hierarchy level: Dataset

Date stamp: 2026-02-16T03:25:08

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Point of contact

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