{"id":{"repo_id":"ncsu","oai_identifier":"oai:repository.lib.ncsu.edu:1840.16/5116"},"canonical_url":"https://search.dev.ndltd.org/etd/ncsu/oai:repository.lib.ncsu.edu:1840.16/5116","repository":{"repo_id":"ncsu","name":"North Carolina State University","base_url":"https://repository.lib.ncsu.edu/server/oai/request"},"display":{"title":"Using Hyperspectral Remote Sensing to Estimate Leaf Area Index of Loblolly Pine Plantations","abstract":"High spectral resolution (Hyperspectral) and multispectral imagery was used to examine the spectral response of loblolly pine with contrasting LAI and foliar nitrogen concentration. The research studies included very different stand structures (age, number and size of the trees). As a result of treatments applied, seasonal, stand and site variation, the range in LAI (0.4 — 3.6 m2 m2) and foliar nitrogen concentration (0.79 — 1.62%) on our study covered most of the range observed in midrotation loblolly pine plantations. Hyperspectral data was used to calculate narrowband vegetation indices (VIs) based on reflectance in the red (R) and near infrared (NIR). LAI was linearly related to the simple ratio (SR) vegetation index, the relationship was not affected by site, stand structure or season. We also found a strong relationship between SR calculated from hyperspectral data and SR calculated from readily available Landsat 7 ETM+ data. Using that relationship, we determine an equation to estimate LAI from Landsat 7 ETM+ data. Hyperspectral data was also used to estimate foliar nitrogen concentration and content of loblolly pine. We found a stronger relationship between nitrogen content and reflectance data than nitrogen concentration and reflectance data.","abstract_html":"High spectral resolution (Hyperspectral) and multispectral imagery was used to examine the spectral response of loblolly pine with contrasting LAI and foliar nitrogen concentration. The research studies included very different stand structures (age, number and size of the trees). As a result of treatments applied, seasonal, stand and site variation, the range in LAI (0.4 — 3.6 m2 m2) and foliar nitrogen concentration (0.79 — 1.62%) on our study covered most of the range observed in midrotation loblolly pine plantations. Hyperspectral data was used to calculate narrowband vegetation indices (VIs) based on reflectance in the red (R) and near infrared (NIR). LAI was linearly related to the simple ratio (SR) vegetation index, the relationship was not affected by site, stand structure or season. We also found a strong relationship between SR calculated from hyperspectral data and SR calculated from readily available Landsat 7 ETM+ data. Using that relationship, we determine an equation to estimate LAI from Landsat 7 ETM+ data. Hyperspectral data was also used to estimate foliar nitrogen concentration and content of loblolly pine. We found a stronger relationship between nitrogen content and reflectance data than nitrogen concentration and reflectance data.","abstract_has_math":false,"creators":["Flores, Francisco Jose"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Jerry Davis, Committee Member","Daniel Kelting, Committee Member","H. Lee Allen, Committee Chair","Heather Cheshire, Committee Member","Montserrat Fuentes, Committee Member"],"committee_chairs":[],"committee_members":[],"year":2003,"date_issued":"2003-07-25","date_published":"2003-07-25","updated_at":"2026-08-21T22:21:56Z","subjects":["Landsat7","foliar nitrogen concentration","remote sensing","LAI","loblolly pine","HyMap"],"languages":[],"rights":["I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-07232003-203104"],"render_values":[{"text":"etd-07232003-203104","href":null,"code":true}]}]},"links":{"outbound_url":"http://www.lib.ncsu.edu/resolver/1840.16/5116","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"source_record":{"url":"https://repository.lib.ncsu.edu/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Arepository.lib.ncsu.edu%3A1840.16%2F5116","prefix":"dim"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Jerry Davis, Committee Member","Daniel Kelting, Committee Member","H. 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I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-07232003-203104"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://www.lib.ncsu.edu/resolver/1840.16/5116"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["North Carolina State University Theses Forestry."]},{"key":"dc:description.abstract","label":"Abstract","values":["High spectral resolution (Hyperspectral) and multispectral imagery was used to examine the spectral response of loblolly pine with contrasting LAI and foliar nitrogen concentration. The research studies included very different stand structures (age, number and size of the trees). As a result of treatments applied, seasonal, stand and site variation, the range in LAI (0.4 — 3.6 m2 m2) and foliar nitrogen concentration (0.79 — 1.62%) on our study covered most of the range observed in midrotation loblolly pine plantations. Hyperspectral data was used to calculate narrowband vegetation indices (VIs) based on reflectance in the red (R) and near infrared (NIR). LAI was linearly related to the simple ratio (SR) vegetation index, the relationship was not affected by site, stand structure or season. We also found a strong relationship between SR calculated from hyperspectral data and SR calculated from readily available Landsat 7 ETM+ data. Using that relationship, we determine an equation to estimate LAI from Landsat 7 ETM+ data. Hyperspectral data was also used to estimate foliar nitrogen concentration and content of loblolly pine. We found a stronger relationship between nitrogen content and reflectance data than nitrogen concentration and reflectance data."]},{"key":"dc:format","label":"Dc Format","values":["Thesis (Ph.D.)--North Carolina State University."]},{"key":"dc:title","label":"Title","values":["Using Hyperspectral Remote Sensing to Estimate Leaf Area Index of Loblolly Pine Plantations"]}]}],"canonical_facts":{"dc:contributor.advisor":["Jerry Davis, Committee Member","Daniel Kelting, Committee Member","H. Lee Allen, Committee Chair","Heather Cheshire, Committee Member","Montserrat Fuentes, Committee Member"],"dc:creator":["Flores, Francisco Jose"],"dc:date.accessioned":["2010-04-02T19:08:07Z"],"dc:date.available":["2010-04-02T19:08:07Z"],"dc:date.issued":["2003-07-25"],"dc:description":["North Carolina State University Theses Forestry."],"dc:description.abstract":["High spectral resolution (Hyperspectral) and multispectral imagery was used to examine the spectral response of loblolly pine with contrasting LAI and foliar nitrogen concentration. The research studies included very different stand structures (age, number and size of the trees). As a result of treatments applied, seasonal, stand and site variation, the range in LAI (0.4 — 3.6 m2 m2) and foliar nitrogen concentration (0.79 — 1.62%) on our study covered most of the range observed in midrotation loblolly pine plantations. Hyperspectral data was used to calculate narrowband vegetation indices (VIs) based on reflectance in the red (R) and near infrared (NIR). LAI was linearly related to the simple ratio (SR) vegetation index, the relationship was not affected by site, stand structure or season. We also found a strong relationship between SR calculated from hyperspectral data and SR calculated from readily available Landsat 7 ETM+ data. Using that relationship, we determine an equation to estimate LAI from Landsat 7 ETM+ data. Hyperspectral data was also used to estimate foliar nitrogen concentration and content of loblolly pine. We found a stronger relationship between nitrogen content and reflectance data than nitrogen concentration and reflectance data."],"dc:format":["Thesis (Ph.D.)--North Carolina State University."],"dc:identifier.other":["etd-07232003-203104"],"dc:identifier.uri":["http://www.lib.ncsu.edu/resolver/1840.16/5116"],"dc:rights":["I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report."],"dc:subject":["Landsat7","foliar nitrogen concentration","remote sensing","LAI","loblolly pine","HyMap"],"dc:title":["Using Hyperspectral Remote Sensing to Estimate Leaf Area Index of Loblolly Pine Plantations"]},"updated_at":"2026-08-21T22:21:56Z"}