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Article: Validating MODIS land surface temperature products using long-term nighttime ground measurements

TitleValidating MODIS land surface temperature products using long-term nighttime ground measurements
Authors
KeywordsCarboEurope-IP
FLUXNET
Land surface temperature
MODIS
Validation
Issue Date2008
Citation
Remote Sensing of Environment, 2008, v. 112, n. 3, p. 623-635 How to Cite?
AbstractThe Moderate Resolution Imaging Spectroradiometer (MODIS), onboard the NASA Terra and Aqua Earth Observing System satellites, provides multiple land surface temperature (LST) products on a daily basis. However, these products have not been adequately validated. This paper presents preliminary results of validating two MODIS Terra daily LST products, MOD11_L2 (version 4) and MOD07_L2 (version 4), using the FLUXNET and Carbon Europe Integrated Project (CarboEurope-IP) long-term ground measurements over eight vegetated sites. Since ground-measured LSTs were only available over one fixed point in each validation site, the study was carefully designed to mitigate the scale mismatch issue by using nighttime ground measurements concurrent to more than 1800 MODIS Terra overpasses. The preliminary results show that MOD11_L2 LSTs have smaller absolute biases and root mean squared errors (RMSE) than those of MOD07_L2 LSTs in most cases. The match of MOD11_L2 LSTs with ground measurements in the Brookings, Audubon, Canaan Valley, and Black Hills sites is good, yielding absolute biases less than 0.8 °C and RMSEs less than 1.7 °C. In the Fort Peck, Hainich, Tharandt, and Bondville sites, MOD11_L2 LSTs were underestimated by 2-3 °C. Biases in MOD11_L2 LSTs correlate to those in MOD07_L2 LSTs. Since the MOD07_L2 LST product is one of the input parameters to the MOD11_L2 LST algorithm, biases in MOD11_L2 LSTs may be influenced by biases in MOD07_L2 LSTs. The errors in both products depend weakly on sensor view zenith angle but are independent of surface air temperature, humidity, wind speed, and soil moisture. © 2007 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/321340
ISSN
2021 Impact Factor: 13.850
2020 SCImago Journal Rankings: 3.611

 

DC FieldValueLanguage
dc.contributor.authorWang, Wenhui-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorMeyers, Tilden-
dc.date.accessioned2022-11-03T02:18:15Z-
dc.date.available2022-11-03T02:18:15Z-
dc.date.issued2008-
dc.identifier.citationRemote Sensing of Environment, 2008, v. 112, n. 3, p. 623-635-
dc.identifier.issn0034-4257-
dc.identifier.urihttp://hdl.handle.net/10722/321340-
dc.description.abstractThe Moderate Resolution Imaging Spectroradiometer (MODIS), onboard the NASA Terra and Aqua Earth Observing System satellites, provides multiple land surface temperature (LST) products on a daily basis. However, these products have not been adequately validated. This paper presents preliminary results of validating two MODIS Terra daily LST products, MOD11_L2 (version 4) and MOD07_L2 (version 4), using the FLUXNET and Carbon Europe Integrated Project (CarboEurope-IP) long-term ground measurements over eight vegetated sites. Since ground-measured LSTs were only available over one fixed point in each validation site, the study was carefully designed to mitigate the scale mismatch issue by using nighttime ground measurements concurrent to more than 1800 MODIS Terra overpasses. The preliminary results show that MOD11_L2 LSTs have smaller absolute biases and root mean squared errors (RMSE) than those of MOD07_L2 LSTs in most cases. The match of MOD11_L2 LSTs with ground measurements in the Brookings, Audubon, Canaan Valley, and Black Hills sites is good, yielding absolute biases less than 0.8 °C and RMSEs less than 1.7 °C. In the Fort Peck, Hainich, Tharandt, and Bondville sites, MOD11_L2 LSTs were underestimated by 2-3 °C. Biases in MOD11_L2 LSTs correlate to those in MOD07_L2 LSTs. Since the MOD07_L2 LST product is one of the input parameters to the MOD11_L2 LST algorithm, biases in MOD11_L2 LSTs may be influenced by biases in MOD07_L2 LSTs. The errors in both products depend weakly on sensor view zenith angle but are independent of surface air temperature, humidity, wind speed, and soil moisture. © 2007 Elsevier Inc. All rights reserved.-
dc.languageeng-
dc.relation.ispartofRemote Sensing of Environment-
dc.subjectCarboEurope-IP-
dc.subjectFLUXNET-
dc.subjectLand surface temperature-
dc.subjectMODIS-
dc.subjectValidation-
dc.titleValidating MODIS land surface temperature products using long-term nighttime ground measurements-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rse.2007.05.024-
dc.identifier.scopuseid_2-s2.0-39749092578-
dc.identifier.volume112-
dc.identifier.issue3-
dc.identifier.spage623-
dc.identifier.epage635-

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