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Book Chapter: Leaf Area Index Models

TitleLeaf Area Index Models
Authors
KeywordsCanopy reflectance model
Ecological model
Global LAI
Ground measurement
Hybrid inversion
LAI application
Leaf area index (LAI)
MODIS
Plant functional type (PFT)
Radiative transfer
Remote sensing
Vegetation index
Issue Date2008
PublisherElsevier
Citation
Leaf Area Index Models. In Jørgensen, SE & Fath, BD (Eds.), Encyclopedia of Ecology, p. 2139-2148. Oxford: Elsevier, 2008 How to Cite?
AbstractLeaf area index (LAI), the total one-sided green leaf area per unit of ground surface, is an important structural property of vegetation. Because leaf surfaces are the primary sites of energy and mass exchange, important processes such as canopy interception, evapotranspiration, and gross photosynthesis are directly proportional to LAI. This article discusses how to obtain LAI, the global LAI characteristics, and how LAI is applied in ecological models. The current state of the art in obtaining LAI can be broken into the ground-based methods and the remote-sensing methods. In the field, LAI can be obtained directly or indirectly: direct methods measure LAI through litterfall or destructive sampling; indirect methods estimate LAI via relationship with other more easily measurable parameters, such as canopy transmittance. Current methods for estimating LAI from optical remote sensing are classified into three categories through: (1) the empirical relationship between LAI and vegetation indices; (2) inversion of canopy reflectance models; and (3) a hybrid inversion method. Following this, some notable satellite sensors that provide LAI products will be introduced. The spatial and temporal properties of global LAI products are analyzed. Finally, how the LAI is applied in various ecological models is discussed.
Persistent Identifierhttp://hdl.handle.net/10722/321657
ISBN

 

DC FieldValueLanguage
dc.contributor.authorFang, H.-
dc.contributor.authorLiang, S.-
dc.date.accessioned2022-11-03T02:20:33Z-
dc.date.available2022-11-03T02:20:33Z-
dc.date.issued2008-
dc.identifier.citationLeaf Area Index Models. In Jørgensen, SE & Fath, BD (Eds.), Encyclopedia of Ecology, p. 2139-2148. Oxford: Elsevier, 2008-
dc.identifier.isbn9780444520333-
dc.identifier.urihttp://hdl.handle.net/10722/321657-
dc.description.abstractLeaf area index (LAI), the total one-sided green leaf area per unit of ground surface, is an important structural property of vegetation. Because leaf surfaces are the primary sites of energy and mass exchange, important processes such as canopy interception, evapotranspiration, and gross photosynthesis are directly proportional to LAI. This article discusses how to obtain LAI, the global LAI characteristics, and how LAI is applied in ecological models. The current state of the art in obtaining LAI can be broken into the ground-based methods and the remote-sensing methods. In the field, LAI can be obtained directly or indirectly: direct methods measure LAI through litterfall or destructive sampling; indirect methods estimate LAI via relationship with other more easily measurable parameters, such as canopy transmittance. Current methods for estimating LAI from optical remote sensing are classified into three categories through: (1) the empirical relationship between LAI and vegetation indices; (2) inversion of canopy reflectance models; and (3) a hybrid inversion method. Following this, some notable satellite sensors that provide LAI products will be introduced. The spatial and temporal properties of global LAI products are analyzed. Finally, how the LAI is applied in various ecological models is discussed.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofEncyclopedia of Ecology-
dc.subjectCanopy reflectance model-
dc.subjectEcological model-
dc.subjectGlobal LAI-
dc.subjectGround measurement-
dc.subjectHybrid inversion-
dc.subjectLAI application-
dc.subjectLeaf area index (LAI)-
dc.subjectMODIS-
dc.subjectPlant functional type (PFT)-
dc.subjectRadiative transfer-
dc.subjectRemote sensing-
dc.subjectVegetation index-
dc.titleLeaf Area Index Models-
dc.typeBook_Chapter-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/B978-008045405-4.00190-7-
dc.identifier.scopuseid_2-s2.0-84957673063-
dc.identifier.spage2139-
dc.identifier.epage2148-
dc.publisher.placeOxford-

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