MODIS leaf area index products: from validation to algorithm improvement

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dc.contributor.authorYang, Wenze
dc.contributor.authorTan, Bin
dc.contributor.authorHuang, Dong
dc.contributor.authorRautiainen, Miina
dc.contributor.authorShabanov, Nikolay V.
dc.contributor.authorWang, Y.
dc.contributor.authorPrivette, Jeffrey L.
dc.contributor.authorHuemmrich, Karl
dc.contributor.authorFensholt, Rasmus
dc.contributor.authorSandholt, Inge
dc.contributor.authorWeiss, M.
dc.contributor.authorAhl, Douglas E.
dc.contributor.authorGower, Stith T.
dc.contributor.authorNemani, Ramakrishna R.
dc.contributor.authorKnyazikhin, Yuri
dc.contributor.authorMyneni, Ranga B.
dc.date.accessioned2024-01-30T17:59:56Z
dc.date.available2024-01-30T17:59:56Z
dc.date.issued2006-06-26
dc.description.abstractGlobal products of vegetation green Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are being operationally produced from Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) at 1-km resolution and eight-day frequency. This paper summarizes the experience of several collaborating investigators on validation of MODIS LAI products and demonstrates the close connection between product validation and algorithm refinement activities. The validation of moderate resolution LAI products includes three steps: 1) field sampling representative of LAI spatial distribution and dynamic range within each major land cover type at the validation site; 2) development of a transfer function between field LAI measurements and high resolution satellite data to generate a reference LAI map over an extended area; and 3) comparison of MODIS LAI with aggregated reference LAI map at patch (multipixel) scale in view of geo-location and pixel shift uncertainties. The MODIS LAI validation experiences, summarized here, suggest three key factors that influence the accuracy of LAI retrievals: 1) uncertainties in input land cover data, 2) uncertainties in input surface reflectances, and 3) uncertainties from the model used to build the look-up tables accompanying the algorithm. This strategy of validation efforts guiding algorithm refinements has led to progressively more accurate LAI products from the MODIS sensors aboard NASA's Terra and Aqua platforms
dc.description.urihttps://ieeexplore.ieee.org/document/1645288
dc.format.extent14 pages
dc.genrejournal articles
dc.identifier.citationWenze Yang et al., "MODIS leaf area index products: from validation to algorithm improvement," in IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 7, pp. 1885-1898, July 2006, doi: 10.1109/TGRS.2006.871215.
dc.identifier.urihttps://doi.org/10.1109/TGRS.2006.871215
dc.identifier.urihttp://hdl.handle.net/11603/31527
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Geography and Environmental Systems Department
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain Mark 1.0 Universal
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleMODIS leaf area index products: from validation to algorithm improvement
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-4148-9108

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