Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency
This study examines the use of spectral reflectance to determine ecosystem photosynthetic light use efficiency (LUE) during mid-growing season for 32 globally distributed flux tower sites. Surface reflectance for 133 spectral bands were extracted for areas around the flux towers from imagery collect...
Gespeichert in:
Veröffentlicht in: | Remote sensing of environment 2019-09, Vol.230 (C), p.111190, Article 111190 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | C |
container_start_page | 111190 |
container_title | Remote sensing of environment |
container_volume | 230 |
creator | Huemmrich, Karl F. Campbell, Petya Landis, David Middleton, Elizabeth |
description | This study examines the use of spectral reflectance to determine ecosystem photosynthetic light use efficiency (LUE) during mid-growing season for 32 globally distributed flux tower sites. Surface reflectance for 133 spectral bands were extracted for areas around the flux towers from imagery collected by the Hyperion instrument on the Earth Observing 1 satellite. The average reflectance spectra were matched with LUE derived from CO2 flux data collected using eddy covariance techniques from the La Thuile Fluxnet Synthesis Dataset, resulting in 79 observations collected between 2000 and 2007. LUE was calculated from daily gross ecosystem production (GEP) and incident photosynthetically active radiation (PAR) from the flux towers and MODIS fraction of absorbed PAR (fPAR). An examination of all possible two band normalized difference vegetation indices found that no index performed better than R2 of 0.55, although 60 of the bands were included in normalized difference indices with a R2 > 0.45. A partial least squares regression (PLSR) using all spectral bands produced a R2 of 0.81, suggesting the use of this approach to develop a globally-applicable retrieval method for LUE using spectral imagery from future missions flying imaging spectrometers, such as the NASA Surface Biology and Geology mission.
•Examined multispectral and hyperspectral approaches to link spectral reflectance to photosynthetic light use efficiency•Utilized over 70 Hyperion hyperspectral images of 32 different and widely dispersed sites•Combined spectral imagery with data from the FLUXNET global network of eddy covariance flux towers•Partial least squares regression applied to 133 spectral bands described over 80% of the variance in light use efficiency. |
doi_str_mv | 10.1016/j.rse.2019.05.009 |
format | Article |
fullrecord | <record><control><sourceid>proquest_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1609577</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0034425719302020</els_id><sourcerecordid>2262699323</sourcerecordid><originalsourceid>FETCH-LOGICAL-c395t-a2a8821cb76fdff0f7fc020540945547d73c3ed7c949fff07acebf3c2b4ab8693</originalsourceid><addsrcrecordid>eNp9kM2O1DAQhC0EEsPCA3Cz4JzQduI4Fie0LD_SSlzgbDlOe8aDEwfbs9K8PY6GM6eWur9qVRUhbxm0DNjw4dymjC0HploQLYB6Rg5slKoBCf1zcgDo-qbnQr4kr3I-AzAxSnYgvz_jE4a4-fVIDbVxWeJKjyFOJoQrNdsWvDVTQLpgOcWZupho3EpdBppwiQVpxjXv8ugo2pivueBCgz-eCr1kpOictx5Xe31NXjgTMr75N-_Iry8PP--_NY8_vn6___TY2E6J0hhuxpEzO8nBzc6Bk84CB9GD6oXo5Sw72-EsreqVq3dpLE6us3zqzTQOqrsj725_Yy5eZ-sL2pON64q2aDaAElJW6P0N2lL8c8Fc9Dle0lp9ac4HPijV8a5S7EbZFHNO6PSW_GLSVTPQe_H6rGvxei9eg9C1-Kr5eNNgzfjkMe0Wan6cfdodzNH_R_0XPGuNMw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2262699323</pqid></control><display><type>article</type><title>Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Huemmrich, Karl F. ; Campbell, Petya ; Landis, David ; Middleton, Elizabeth</creator><creatorcontrib>Huemmrich, Karl F. ; Campbell, Petya ; Landis, David ; Middleton, Elizabeth ; Oregon State Univ., Corvallis, OR (United States)</creatorcontrib><description>This study examines the use of spectral reflectance to determine ecosystem photosynthetic light use efficiency (LUE) during mid-growing season for 32 globally distributed flux tower sites. Surface reflectance for 133 spectral bands were extracted for areas around the flux towers from imagery collected by the Hyperion instrument on the Earth Observing 1 satellite. The average reflectance spectra were matched with LUE derived from CO2 flux data collected using eddy covariance techniques from the La Thuile Fluxnet Synthesis Dataset, resulting in 79 observations collected between 2000 and 2007. LUE was calculated from daily gross ecosystem production (GEP) and incident photosynthetically active radiation (PAR) from the flux towers and MODIS fraction of absorbed PAR (fPAR). An examination of all possible two band normalized difference vegetation indices found that no index performed better than R2 of 0.55, although 60 of the bands were included in normalized difference indices with a R2 > 0.45. A partial least squares regression (PLSR) using all spectral bands produced a R2 of 0.81, suggesting the use of this approach to develop a globally-applicable retrieval method for LUE using spectral imagery from future missions flying imaging spectrometers, such as the NASA Surface Biology and Geology mission.
•Examined multispectral and hyperspectral approaches to link spectral reflectance to photosynthetic light use efficiency•Utilized over 70 Hyperion hyperspectral images of 32 different and widely dispersed sites•Combined spectral imagery with data from the FLUXNET global network of eddy covariance flux towers•Partial least squares regression applied to 133 spectral bands described over 80% of the variance in light use efficiency.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2019.05.009</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Band spectra ; Carbon dioxide ; Carbon dioxide flux ; Covariance ; Earth observing 1 ; Ecosystems ; Eddy covariance ; Environmental Sciences & Ecology ; Fluctuations ; Flux ; Geology ; Growing season ; Hyperion ; Hyperspectral imaging ; Imaging Science & Photographic Technology ; Imaging spectrometers ; Light use efficiency ; Photosynthesis ; Photosynthetically active radiation ; Radiation ; Reflectance ; Remote Sensing ; Satellite observation ; Satellites ; Spectral bands ; Spectral reflectance ; Spectrometers ; Terrestrial ecosystem productivity ; Towers</subject><ispartof>Remote sensing of environment, 2019-09, Vol.230 (C), p.111190, Article 111190</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright Elsevier BV Sep 1, 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-a2a8821cb76fdff0f7fc020540945547d73c3ed7c949fff07acebf3c2b4ab8693</citedby><cites>FETCH-LOGICAL-c395t-a2a8821cb76fdff0f7fc020540945547d73c3ed7c949fff07acebf3c2b4ab8693</cites><orcidid>0000-0003-4148-9108 ; 0000000341489108</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.rse.2019.05.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,777,781,882,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1609577$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Huemmrich, Karl F.</creatorcontrib><creatorcontrib>Campbell, Petya</creatorcontrib><creatorcontrib>Landis, David</creatorcontrib><creatorcontrib>Middleton, Elizabeth</creatorcontrib><creatorcontrib>Oregon State Univ., Corvallis, OR (United States)</creatorcontrib><title>Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency</title><title>Remote sensing of environment</title><description>This study examines the use of spectral reflectance to determine ecosystem photosynthetic light use efficiency (LUE) during mid-growing season for 32 globally distributed flux tower sites. Surface reflectance for 133 spectral bands were extracted for areas around the flux towers from imagery collected by the Hyperion instrument on the Earth Observing 1 satellite. The average reflectance spectra were matched with LUE derived from CO2 flux data collected using eddy covariance techniques from the La Thuile Fluxnet Synthesis Dataset, resulting in 79 observations collected between 2000 and 2007. LUE was calculated from daily gross ecosystem production (GEP) and incident photosynthetically active radiation (PAR) from the flux towers and MODIS fraction of absorbed PAR (fPAR). An examination of all possible two band normalized difference vegetation indices found that no index performed better than R2 of 0.55, although 60 of the bands were included in normalized difference indices with a R2 > 0.45. A partial least squares regression (PLSR) using all spectral bands produced a R2 of 0.81, suggesting the use of this approach to develop a globally-applicable retrieval method for LUE using spectral imagery from future missions flying imaging spectrometers, such as the NASA Surface Biology and Geology mission.
•Examined multispectral and hyperspectral approaches to link spectral reflectance to photosynthetic light use efficiency•Utilized over 70 Hyperion hyperspectral images of 32 different and widely dispersed sites•Combined spectral imagery with data from the FLUXNET global network of eddy covariance flux towers•Partial least squares regression applied to 133 spectral bands described over 80% of the variance in light use efficiency.</description><subject>Band spectra</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide flux</subject><subject>Covariance</subject><subject>Earth observing 1</subject><subject>Ecosystems</subject><subject>Eddy covariance</subject><subject>Environmental Sciences & Ecology</subject><subject>Fluctuations</subject><subject>Flux</subject><subject>Geology</subject><subject>Growing season</subject><subject>Hyperion</subject><subject>Hyperspectral imaging</subject><subject>Imaging Science & Photographic Technology</subject><subject>Imaging spectrometers</subject><subject>Light use efficiency</subject><subject>Photosynthesis</subject><subject>Photosynthetically active radiation</subject><subject>Radiation</subject><subject>Reflectance</subject><subject>Remote Sensing</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Spectral bands</subject><subject>Spectral reflectance</subject><subject>Spectrometers</subject><subject>Terrestrial ecosystem productivity</subject><subject>Towers</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kM2O1DAQhC0EEsPCA3Cz4JzQduI4Fie0LD_SSlzgbDlOe8aDEwfbs9K8PY6GM6eWur9qVRUhbxm0DNjw4dymjC0HploQLYB6Rg5slKoBCf1zcgDo-qbnQr4kr3I-AzAxSnYgvz_jE4a4-fVIDbVxWeJKjyFOJoQrNdsWvDVTQLpgOcWZupho3EpdBppwiQVpxjXv8ugo2pivueBCgz-eCr1kpOictx5Xe31NXjgTMr75N-_Iry8PP--_NY8_vn6___TY2E6J0hhuxpEzO8nBzc6Bk84CB9GD6oXo5Sw72-EsreqVq3dpLE6us3zqzTQOqrsj725_Yy5eZ-sL2pON64q2aDaAElJW6P0N2lL8c8Fc9Dle0lp9ac4HPijV8a5S7EbZFHNO6PSW_GLSVTPQe_H6rGvxei9eg9C1-Kr5eNNgzfjkMe0Wan6cfdodzNH_R_0XPGuNMw</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Huemmrich, Karl F.</creator><creator>Campbell, Petya</creator><creator>Landis, David</creator><creator>Middleton, Elizabeth</creator><general>Elsevier Inc</general><general>Elsevier BV</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0003-4148-9108</orcidid><orcidid>https://orcid.org/0000000341489108</orcidid></search><sort><creationdate>20190901</creationdate><title>Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency</title><author>Huemmrich, Karl F. ; Campbell, Petya ; Landis, David ; Middleton, Elizabeth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-a2a8821cb76fdff0f7fc020540945547d73c3ed7c949fff07acebf3c2b4ab8693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Band spectra</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide flux</topic><topic>Covariance</topic><topic>Earth observing 1</topic><topic>Ecosystems</topic><topic>Eddy covariance</topic><topic>Environmental Sciences & Ecology</topic><topic>Fluctuations</topic><topic>Flux</topic><topic>Geology</topic><topic>Growing season</topic><topic>Hyperion</topic><topic>Hyperspectral imaging</topic><topic>Imaging Science & Photographic Technology</topic><topic>Imaging spectrometers</topic><topic>Light use efficiency</topic><topic>Photosynthesis</topic><topic>Photosynthetically active radiation</topic><topic>Radiation</topic><topic>Reflectance</topic><topic>Remote Sensing</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Spectral bands</topic><topic>Spectral reflectance</topic><topic>Spectrometers</topic><topic>Terrestrial ecosystem productivity</topic><topic>Towers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huemmrich, Karl F.</creatorcontrib><creatorcontrib>Campbell, Petya</creatorcontrib><creatorcontrib>Landis, David</creatorcontrib><creatorcontrib>Middleton, Elizabeth</creatorcontrib><creatorcontrib>Oregon State Univ., Corvallis, OR (United States)</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>OSTI.GOV</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huemmrich, Karl F.</au><au>Campbell, Petya</au><au>Landis, David</au><au>Middleton, Elizabeth</au><aucorp>Oregon State Univ., Corvallis, OR (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency</atitle><jtitle>Remote sensing of environment</jtitle><date>2019-09-01</date><risdate>2019</risdate><volume>230</volume><issue>C</issue><spage>111190</spage><pages>111190-</pages><artnum>111190</artnum><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>This study examines the use of spectral reflectance to determine ecosystem photosynthetic light use efficiency (LUE) during mid-growing season for 32 globally distributed flux tower sites. Surface reflectance for 133 spectral bands were extracted for areas around the flux towers from imagery collected by the Hyperion instrument on the Earth Observing 1 satellite. The average reflectance spectra were matched with LUE derived from CO2 flux data collected using eddy covariance techniques from the La Thuile Fluxnet Synthesis Dataset, resulting in 79 observations collected between 2000 and 2007. LUE was calculated from daily gross ecosystem production (GEP) and incident photosynthetically active radiation (PAR) from the flux towers and MODIS fraction of absorbed PAR (fPAR). An examination of all possible two band normalized difference vegetation indices found that no index performed better than R2 of 0.55, although 60 of the bands were included in normalized difference indices with a R2 > 0.45. A partial least squares regression (PLSR) using all spectral bands produced a R2 of 0.81, suggesting the use of this approach to develop a globally-applicable retrieval method for LUE using spectral imagery from future missions flying imaging spectrometers, such as the NASA Surface Biology and Geology mission.
•Examined multispectral and hyperspectral approaches to link spectral reflectance to photosynthetic light use efficiency•Utilized over 70 Hyperion hyperspectral images of 32 different and widely dispersed sites•Combined spectral imagery with data from the FLUXNET global network of eddy covariance flux towers•Partial least squares regression applied to 133 spectral bands described over 80% of the variance in light use efficiency.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2019.05.009</doi><orcidid>https://orcid.org/0000-0003-4148-9108</orcidid><orcidid>https://orcid.org/0000000341489108</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0034-4257 |
ispartof | Remote sensing of environment, 2019-09, Vol.230 (C), p.111190, Article 111190 |
issn | 0034-4257 1879-0704 |
language | eng |
recordid | cdi_osti_scitechconnect_1609577 |
source | ScienceDirect Journals (5 years ago - present) |
subjects | Band spectra Carbon dioxide Carbon dioxide flux Covariance Earth observing 1 Ecosystems Eddy covariance Environmental Sciences & Ecology Fluctuations Flux Geology Growing season Hyperion Hyperspectral imaging Imaging Science & Photographic Technology Imaging spectrometers Light use efficiency Photosynthesis Photosynthetically active radiation Radiation Reflectance Remote Sensing Satellite observation Satellites Spectral bands Spectral reflectance Spectrometers Terrestrial ecosystem productivity Towers |
title | Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T02%3A44%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Developing%20a%20common%20globally%20applicable%20method%20for%20optical%20remote%20sensing%20of%20ecosystem%20light%20use%20efficiency&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Huemmrich,%20Karl%20F.&rft.aucorp=Oregon%20State%20Univ.,%20Corvallis,%20OR%20(United%20States)&rft.date=2019-09-01&rft.volume=230&rft.issue=C&rft.spage=111190&rft.pages=111190-&rft.artnum=111190&rft.issn=0034-4257&rft.eissn=1879-0704&rft_id=info:doi/10.1016/j.rse.2019.05.009&rft_dat=%3Cproquest_osti_%3E2262699323%3C/proquest_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2262699323&rft_id=info:pmid/&rft_els_id=S0034425719302020&rfr_iscdi=true |