PisekChenLacazeEtAl2010

Reference

Pisek, J., Chen, J.M., Lacaze, R., Sonnentag, O., Alikas, K. (2010) Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation. ISPRS Journal of Photogrammetry and Remote Sensing, 65(4):341-346. (Scopus )

Abstract

The clumping index measures the spatial aggregation (clumped, random and regular) of foliage elements. The global mapping of the clumping index with a limited eight-month multi-angular POLDER 1 dataset is expanded by integrating new, complete year-round observations from POLDER 3. We show that terrain-induced shadows can enhance bi-directional reflectance distribution function variation and negatively bias the clumping index (i.e. indicating more vegetation clumping) in rugged terrain. Using a global high-resolution digital elevation model, a topographic compensation function is devised to correct for this terrain effect. The clumping index reductions can reach up to 30% from the topographically non-compensated values, depending on terrain complexity and land cover type. The new global clumping index map is compared with an assembled set of field measurements from 32 different sites, covering four continents and diverse biomes. © 2010 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).

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@ARTICLE { PisekChenLacazeEtAl2010,
    AUTHOR = { Pisek, J. and Chen, J.M. and Lacaze, R. and Sonnentag, O. and Alikas, K. },
    TITLE = { Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation },
    JOURNAL = { ISPRS Journal of Photogrammetry and Remote Sensing },
    YEAR = { 2010 },
    VOLUME = { 65 },
    NUMBER = { 4 },
    PAGES = { 341-346 },
    NOTE = { cited By 37 },
    ABSTRACT = { The clumping index measures the spatial aggregation (clumped, random and regular) of foliage elements. The global mapping of the clumping index with a limited eight-month multi-angular POLDER 1 dataset is expanded by integrating new, complete year-round observations from POLDER 3. We show that terrain-induced shadows can enhance bi-directional reflectance distribution function variation and negatively bias the clumping index (i.e. indicating more vegetation clumping) in rugged terrain. Using a global high-resolution digital elevation model, a topographic compensation function is devised to correct for this terrain effect. The clumping index reductions can reach up to 30% from the topographically non-compensated values, depending on terrain complexity and land cover type. The new global clumping index map is compared with an assembled set of field measurements from 32 different sites, covering four continents and diverse biomes. © 2010 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). },
    AFFILIATION = { University of Toronto, Department of Geography and Program in Planning, Sidney Smith Hall, 100 St. George Street, Toronto, ON, M5S 3G3, Canada; Tartu Observatory, 61602 Travere, Estonia; CESBIO, Toulouse Cedex, France; University of California Berkeley, Berkeley, United States },
    AUTHOR_KEYWORDS = { BRDF; Multi-angle remote sensing; POLDER; Vegetation clumping index },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.isprsjprs.2010.03.002 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954033601&doi=10.1016%2fj.isprsjprs.2010.03.002&partnerID=40&md5=867b213567ef59b5a98cbf157b311c0c },
}

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