{"id":{"repo_id":"soton","oai_identifier":"oai:eprints.soton.ac.uk:160117"},"canonical_url":"https://search.dev.ndltd.org/etd/soton/oai:eprints.soton.ac.uk:160117","repository":{"repo_id":"soton","name":"University of Southampton","base_url":"https://eprints.soton.ac.uk/cgi/oai2"},"display":{"title":"Remote sensing of grassland with contaminated soil using the spectral red-edge","abstract":"In most cases contaminants are concealed in soil and under vegetation and therefore can
not be measured directly by remote sensing. However, soil contaminants were detected
using the spectral red-edge to indicate vegetation stress caused by the presence of
the contaminants. An improved red-edge position (REP) was developed and gave a
slight improvement in the predictive capability over existing indices and an effective
additional diagnostic indicator of soil contamination was found to be the spatial pattern
of the REP. Where an area had high levels of hydrocarbon in the soil it also had a
high level of variation. The indication was that spatial variation of spectral indices
(especially the REP) may be more useful than the spectral index value for the detection
and mapping of soil contamination.
Field analysis and radiative transfer modelling (using a coupled leaf and canopy model,
LIBSAIL) showed the influence of vertical layering in the grassland canopy. The influence
of a vegetated under-storey on the red-edge was found to be greatest when
different absorption spectra were present and high within-the-leaf scattering. The former
defined wavelength positions of features while the later determined if they were
resolvable in a spectrum. This greater understanding of the grassland canopy identified
the importance of fully surveying vegetation canopy structure, especially in complex,
multi-layered canopies such as those found with contamination. With this understanding
of what the red-edge can reveal, remote sensing is an effective tool for the detection
of contamination.","abstract_html":"In most cases contaminants are concealed in soil and under vegetation and therefore can<br/>not be measured directly by remote sensing. However, soil contaminants were detected<br/>using the spectral red-edge to indicate vegetation stress caused by the presence of<br/>the contaminants. An improved red-edge position (REP) was developed and gave a<br/>slight improvement in the predictive capability over existing indices and an effective<br/>additional diagnostic indicator of soil contamination was found to be the spatial pattern<br/>of the REP. Where an area had high levels of hydrocarbon in the soil it also had a<br/>high level of variation. The indication was that spatial variation of spectral indices<br/>(especially the REP) may be more useful than the spectral index value for the detection<br/>and mapping of soil contamination.<br/><br/>Field analysis and radiative transfer modelling (using a coupled leaf and canopy model,<br/>LIBSAIL) showed the influence of vertical layering in the grassland canopy. The influence<br/>of a vegetated under-storey on the red-edge was found to be greatest when<br/>different absorption spectra were present and high within-the-leaf scattering. The former<br/>defined wavelength positions of features while the later determined if they were<br/>resolvable in a spectrum. This greater understanding of the grassland canopy identified<br/>the importance of fully surveying vegetation canopy structure, especially in complex,<br/>multi-layered canopies such as those found with contamination. With this understanding<br/>of what the red-edge can reveal, remote sensing is an effective tool for the detection<br/>of contamination.","abstract_has_math":false,"creators":["Llewellyn, Gary Michael"],"institution":"University of Southampton","degree_name":"Ph.D.","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Curran, Paul","Milton, Edward J."],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009-06","date_published":"2009-06","updated_at":"2026-07-24T04:36:14Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Curran, Paul","Milton, Edward J."]},{"key":"dc:creator","label":"Author","values":["Llewellyn, Gary Michael"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2009-06"]},{"key":"dc:date.issued","label":"Date","values":["2009-06"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Geography (pre 2011 reorg)","School of Geography"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Southampton"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://eprints.soton.ac.uk/160117/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["Ph.D."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://eprints.soton.ac.uk/160117/1/LLEWELLYN_final.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In most cases contaminants are concealed in soil and under vegetation and therefore can
not be measured directly by remote sensing. However, soil contaminants were detected
using the spectral red-edge to indicate vegetation stress caused by the presence of
the contaminants. An improved red-edge position (REP) was developed and gave a
slight improvement in the predictive capability over existing indices and an effective
additional diagnostic indicator of soil contamination was found to be the spatial pattern
of the REP. Where an area had high levels of hydrocarbon in the soil it also had a
high level of variation. The indication was that spatial variation of spectral indices
(especially the REP) may be more useful than the spectral index value for the detection
and mapping of soil contamination.
Field analysis and radiative transfer modelling (using a coupled leaf and canopy model,
LIBSAIL) showed the influence of vertical layering in the grassland canopy. The influence
of a vegetated under-storey on the red-edge was found to be greatest when
different absorption spectra were present and high within-the-leaf scattering. The former
defined wavelength positions of features while the later determined if they were
resolvable in a spectrum. This greater understanding of the grassland canopy identified
the importance of fully surveying vegetation canopy structure, especially in complex,
multi-layered canopies such as those found with contamination. With this understanding
of what the red-edge can reveal, remote sensing is an effective tool for the detection
of contamination."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Remote sensing of grassland with contaminated soil using the spectral red-edge"]}]}],"canonical_facts":{"dc:contributor.advisor":["Curran, Paul","Milton, Edward J."],"dc:creator":["Llewellyn, Gary Michael"],"dc:date":["2009-06"],"dc:date.issued":["2009-06"],"dc:description.abstract":["In most cases contaminants are concealed in soil and under vegetation and therefore can
not be measured directly by remote sensing. However, soil contaminants were detected
using the spectral red-edge to indicate vegetation stress caused by the presence of
the contaminants. An improved red-edge position (REP) was developed and gave a
slight improvement in the predictive capability over existing indices and an effective
additional diagnostic indicator of soil contamination was found to be the spatial pattern
of the REP. Where an area had high levels of hydrocarbon in the soil it also had a
high level of variation. The indication was that spatial variation of spectral indices
(especially the REP) may be more useful than the spectral index value for the detection
and mapping of soil contamination.
Field analysis and radiative transfer modelling (using a coupled leaf and canopy model,
LIBSAIL) showed the influence of vertical layering in the grassland canopy. The influence
of a vegetated under-storey on the red-edge was found to be greatest when
different absorption spectra were present and high within-the-leaf scattering. The former
defined wavelength positions of features while the later determined if they were
resolvable in a spectrum. This greater understanding of the grassland canopy identified
the importance of fully surveying vegetation canopy structure, especially in complex,
multi-layered canopies such as those found with contamination. With this understanding
of what the red-edge can reveal, remote sensing is an effective tool for the detection
of contamination."],"dc:format":["text"],"dc:identifier.uri":["https://eprints.soton.ac.uk/160117/1/LLEWELLYN_final.pdf"],"dc:publisher.department":["Geography (pre 2011 reorg)","School of Geography"],"dc:publisher.institution":["University of Southampton"],"dc:relation.isreferencedby":["https://eprints.soton.ac.uk/160117/"],"dc:title":["Remote sensing of grassland with contaminated soil using the spectral red-edge"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["Ph.D."]},"updated_at":"2026-07-24T04:36:14Z"}