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.

Simple

Date (Publication)
2023-04-28T14:16:02
Date (Creation)
2023-04-28T14:16:02
Identifier
https://catalogue.ceda.ac.uk/uuid/2485214239134768820ffb50fb5513bc
Identifier
NERC EDS Centre for Environmental Data Analysis / 2485214239134768820ffb50fb5513bc
Identifier
doi / 10.5285/2485214239134768820ffb50fb5513bc
Author
  Plymouth Marine Laboratory - author
Author
  Unavailable - Mata, Aser ( author )
Custodian
  NERC EDS Centre for Environmental Data Analysis - custodian
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Distributor
  NERC EDS Centre for Environmental Data Analysis - distributor
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Principal investigator
  Unavailable - Mata, Aser ( principal_investigator )
pointofContact
  NERC EDS Centre for Environmental Data Analysis - point_of_contact
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Publisher
  NERC EDS Centre for Environmental Data Analysis - publisher
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
Maintenance and update frequency
notPlanned Not planned
Update scope
dataset Dataset
Keywords
  • UAS
  • UAV
  • drone
  • hyperspectral
  • in-situ
  • Plastic
  • macroplastic
  • detection
GEMET - INSPIRE themes, version 1.0
  • orthoimagery
Access constraints
otherRestrictions 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
otherRestrictions 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 Grid
Metadata language
EnglishEnglish
Topic category
  • Imagery base maps earth cover
N
S
E
W
thumbnail


Begin date
2020-09-29T00:00:00
End date
2020-09-29T23:59:59
Unique resource identifier
WGS 84
Distribution format
  • Envi Binary and BADC-CSV ()

Distributor
  NERC EDS Centre for Environmental Data Analysis - Data Center Contact
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
OnLine resource
CEDA Data Catalogue Page

Detail and access information for the resource

OnLine resource
DOWNLOAD

Download Data

Hierarchy level
dataset Dataset

Conformance result

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.
File identifier
2485214239134768820ffb50fb5513bc XML
Metadata language
EnglishEnglish
Character set
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8
Parent identifier
34038fecaaca472b9281184718841acf 34038fecaaca472b9281184718841acf
Hierarchy level
dataset Dataset
Date stamp
2025-11-15T03:25:47
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Centre for Environmental Data Analysis
RAL Space , STFC Rutherford Appleton Laboratory, Harwell Campus , Didcot , OX11 0QX , United Kingdom
01235446432
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
orthoimagery

Provided by

Share on social sites

Access to the portal

Associated resources

Not available