Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory
2018
Pisek, Jan | Buddenbaum, Henning | Camacho, Fernando | Hill, Joachim | Jensen, Jennifer L.R. | Lange, Holger | Liu, Zhili | Piayda, Arndt | Qu, Yonghua | Roupsard, Olivier | Serbin, Shawn P. | Solberg, Svein | Sonnentag, Oliver | Thimonier, Anne | Vuolo, Francesco | Tartu University Hospital | Trier Universität = Trier University = Université de Trèves (Uni Trier) | Earth Observation Laboratory ; Partenaires INRAE | Department of Geography ; Texas State University | Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO) | Center for Ecological Research ; Kyoto University | Johann Heinrich von Thünen-Institut = Thünen Institute | Beijing Normal University (BNU) | Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) | Brookhaven National Laboratory [Upton, NY] (BNL) ; UT-Battelle, LLC-Stony Brook University [SUNY] (SBU) ; State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE) | Université de Montréal (UdeM) | Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Universität für Bodenkultur Wien = University of Natural Resources and Life Sciences [Vienne, Autriche] (BOKU) | Estonian Research Council Grant PUT1355 and Mobilitas Pluss MOBERC11; United States Department of Energy contract No. DE-SC0012704
International audience
اظهر المزيد [+] اقل [-]إنجليزي. Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability ('p-theory'), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types. The p-theory describes the probability (p-value) that a photon, having intercepted an element in the canopy, will recollide with another canopy element rather than escape the canopy. We show that empirically-based CI maps can be integrated with the MODIS LAI product. Our results indicate that it is feasible to derive approximate p-values for any location solely from Earth Observation data. This approximation is relevant for future applications of the photon recollision probability concept for global and local monitoring of vegetation using Earth Observation data.
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Institut national de la recherche agronomique