Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes
We tested the potential of estimating per‐pixel gross primary production (GPP) directly from the MODIS enhanced vegetation index (EVI) and respiration directly from MODIS surface temperature (MOD11). Carbon flux data were obtained from 10 eddy covariance tower sites representing a wide range of Nort...
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| Veröffentlicht in: | Geophysical research letters 2005-10, Vol.32 (19), p.L19404-n/a |
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| creator | Rahman, A. F. Sims, D. A. Cordova, V. D. El-Masri, B. Z. |
| description | We tested the potential of estimating per‐pixel gross primary production (GPP) directly from the MODIS enhanced vegetation index (EVI) and respiration directly from MODIS surface temperature (MOD11). Carbon flux data were obtained from 10 eddy covariance tower sites representing a wide range of North American vegetations. The correlation between across‐site tower GPP and EVI was comparable (r = 0.77) to that between tower GPP and MOD17‐GPP (r = 0.73), suggesting that EVI could be used to provide reasonably accurate direct estimates of GPP on a truly per‐pixel basis. There was also a strong relationship (r2 = 0.67) between respiration and surface temperature of dense vegetation, suggesting that estimation of net ecosystem exchange (NEE) may be possible with relatively simple pixel based models, at least for some vegetation types. |
| doi_str_mv | 10.1029/2005GL024127 |
| format | Article |
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There was also a strong relationship (r2 = 0.67) between respiration and surface temperature of dense vegetation, suggesting that estimation of net ecosystem exchange (NEE) may be possible with relatively simple pixel based models, at least for some vegetation types.</description><subject>Biogeochemical cycles, processes, and modeling</subject><subject>Biogeosciences</subject><subject>Carbon cycling</subject><subject>Estimation and forecasting</subject><subject>Global Change</subject><subject>Hydrology</subject><subject>Land/atmosphere interactions</subject><subject>Remote sensing</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqF0c9P2zAUB3ALbRId48Z9PnFa4NlO4vg4ZaxUZAPGL4mL5brPVba0yexEtP_9XAUhdhm-2IfPs79-j5AjBicMuDrlANm0Ap4yLvfIhKk0TQoA-Y5MAFQ8c5nvkw8h_AIAAYJNiL1qe1z3tWlo6-j3y6-zG3p2P6NmvaBh8M5YpD2uOvSmHzxS13q6qD3avtlSDH29Mn29XtIIkq7eYEPRtmEbYg0tqWuGDYaP5L0zTcDD5_2A3H07uy3Pk-pyOiu_VInJhITEMAVMcVe4VPK4lHRKWKcMmxeQ21wwtIBWpWiMsou5szlnsoAUFsZxkYoDcjze2_n2zxDD6VUdLDaNWWM7BM1V_LIC-TaM74mdfgsyyWLkIovw8witb0Pw6HTnY2v8VjPQu9no17OJnI_8qW5w-1-rpz8rDmmxC5OMRXXs7ualyPjfOpdCZvrhx1SXV9dQ3j9e6DL6T6M3y-FF_xPjL5B1p88</recordid><startdate>200510</startdate><enddate>200510</enddate><creator>Rahman, A. 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Z.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5370-a190192f8f47222297f93cf9a1b806c631ec0ec94eaa9cdbfc62178040daf2343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biogeochemical cycles, processes, and modeling</topic><topic>Biogeosciences</topic><topic>Carbon cycling</topic><topic>Estimation and forecasting</topic><topic>Global Change</topic><topic>Hydrology</topic><topic>Land/atmosphere interactions</topic><topic>Remote sensing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rahman, A. F.</creatorcontrib><creatorcontrib>Sims, D. A.</creatorcontrib><creatorcontrib>Cordova, V. D.</creatorcontrib><creatorcontrib>El-Masri, B. Z.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rahman, A. F.</au><au>Sims, D. A.</au><au>Cordova, V. D.</au><au>El-Masri, B. Z.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes</atitle><jtitle>Geophysical research letters</jtitle><addtitle>Geophys. Res. Lett</addtitle><date>2005-10</date><risdate>2005</risdate><volume>32</volume><issue>19</issue><spage>L19404</spage><epage>n/a</epage><pages>L19404-n/a</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>We tested the potential of estimating per‐pixel gross primary production (GPP) directly from the MODIS enhanced vegetation index (EVI) and respiration directly from MODIS surface temperature (MOD11). Carbon flux data were obtained from 10 eddy covariance tower sites representing a wide range of North American vegetations. The correlation between across‐site tower GPP and EVI was comparable (r = 0.77) to that between tower GPP and MOD17‐GPP (r = 0.73), suggesting that EVI could be used to provide reasonably accurate direct estimates of GPP on a truly per‐pixel basis. There was also a strong relationship (r2 = 0.67) between respiration and surface temperature of dense vegetation, suggesting that estimation of net ecosystem exchange (NEE) may be possible with relatively simple pixel based models, at least for some vegetation types.</abstract><pub>American Geophysical Union</pub><doi>10.1029/2005GL024127</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| issn | 0094-8276 1944-8007 |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Access via Wiley Online Library; Wiley-Blackwell AGU Digital Library; Wiley Online Library (Open Access Collection) |
| subjects | Biogeochemical cycles, processes, and modeling Biogeosciences Carbon cycling Estimation and forecasting Global Change Hydrology Land/atmosphere interactions Remote sensing |
| title | Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes |
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