File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A temporally integrated inversion method for estimating leaf area index from MODIS data

TitleA temporally integrated inversion method for estimating leaf area index from MODIS data
Authors
KeywordsDynamic model
Leaf area index (LAI)
Moderate-Resolution Imaging Spectroradiometer (MODIS)
Radiative transfer
Retrieval
Issue Date2009
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2009, v. 47, n. 8, p. 2536-2545 How to Cite?
AbstractMultiple leaf area index (LAI) products have been generated from remote-sensing data. Among them, the Moderate-Resolution Imaging Spectroradiometer (MODIS) LAI product (MOD15A2) is now routinely derived from data acquired by MODIS sensors onboard Terra and Aqua satellite platforms. However, the MODIS LAI product is not spatially and temporally continuous and is inaccurate in many areas for some vegetation types. In this paper, a new algorithm is developed to estimate LAI from time-series MODIS reflectance data (MOD09A1). A radiative-transfer model is coupled with a double-logistic LAI temporal-profile model, and the shuffled complex evolution optimization method, developed at the University of Arizona, is used to estimate the parameters of the coupled model from the temporal signature in a given time window. Preliminary analysis using MODIS surface-reflectance data at flux sites was performed to validate this method. The results show that the new algorithm is able to construct a temporally continuous LAI product efficiently, and the accuracy has been significantly improved over the MODIS LAI product as compared to field-measured LAI data. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/321227
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXiao, Zhiqiang-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorWang, Jindi-
dc.contributor.authorSong, Jinling-
dc.contributor.authorWu, Xiyan-
dc.date.accessioned2022-11-03T02:17:30Z-
dc.date.available2022-11-03T02:17:30Z-
dc.date.issued2009-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2009, v. 47, n. 8, p. 2536-2545-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/321227-
dc.description.abstractMultiple leaf area index (LAI) products have been generated from remote-sensing data. Among them, the Moderate-Resolution Imaging Spectroradiometer (MODIS) LAI product (MOD15A2) is now routinely derived from data acquired by MODIS sensors onboard Terra and Aqua satellite platforms. However, the MODIS LAI product is not spatially and temporally continuous and is inaccurate in many areas for some vegetation types. In this paper, a new algorithm is developed to estimate LAI from time-series MODIS reflectance data (MOD09A1). A radiative-transfer model is coupled with a double-logistic LAI temporal-profile model, and the shuffled complex evolution optimization method, developed at the University of Arizona, is used to estimate the parameters of the coupled model from the temporal signature in a given time window. Preliminary analysis using MODIS surface-reflectance data at flux sites was performed to validate this method. The results show that the new algorithm is able to construct a temporally continuous LAI product efficiently, and the accuracy has been significantly improved over the MODIS LAI product as compared to field-measured LAI data. © 2006 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectDynamic model-
dc.subjectLeaf area index (LAI)-
dc.subjectModerate-Resolution Imaging Spectroradiometer (MODIS)-
dc.subjectRadiative transfer-
dc.subjectRetrieval-
dc.titleA temporally integrated inversion method for estimating leaf area index from MODIS data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2009.2015656-
dc.identifier.scopuseid_2-s2.0-67949085065-
dc.identifier.volume47-
dc.identifier.issue8-
dc.identifier.spage2536-
dc.identifier.epage2545-
dc.identifier.isiWOS:000268166500013-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats