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Retrieval of Quantitative and Qualitative Information about Plant Pigment Systems from High Resolution Spectroscopy.

S. Ustin, G. Asner, J. Gamon, K. Huemmrich, S. Jacquemoud, M. Schaepman, und P. Zarco-Tejada. IGARSS, Seite 1996-1999. IEEE, (2006)

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Liliana Elizabeth Zarco Barragan University of Stuttgart

J. K\"astner

J. Schwarz

J. K\"astner

J Walter

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Extracting tree crown properties from ground-based scanning laser data.I. Moorthy, J. Miller, J. Jiménez-Berni, P. Zarco-Tejada, und Q. Li. IGARSS, Seite 2830-2832. IEEE, (2007)Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content.F. Jr., G. Blasch, P. Defourny, J. Ortiz-Monasterio, U. Schulthess, P. Zarco-Tejada, J. Taylor, und B. Gerard. Remote Sensing, 10 (6): 930 (2018)Residual Effect and N Fertilizer Rate Detection by High-Resolution VNIR-SWIR Hyperspectral Imagery and Solar-Induced Chlorophyll Fluorescence in Wheat.M. Raya-Sereno, M. Alonso-Ayuso, J. Pancorbo, J. Gabriel, C. Camino, P. Zarco-Tejada, und M. Quemada. IEEE Trans. Geosci. Remote. Sens., (2022)Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation.R. Hernández-Clemente, R. Navarro-Cerrillo, und P. Zarco-Tejada. IEEE Trans. Geoscience and Remote Sensing, 52 (8): 5206-5217 (2014)Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data.P. Zarco-Tejada, J. Miller, T. Noland, G. Mohammed, und P. Sampson. IEEE Trans. Geoscience and Remote Sensing, 39 (7): 1491-1507 (2001)Spatio-Temporal Relationships between Optical Information and Carbon Fluxes in a Mediterranean Tree-Grass Ecosystem.J. Pacheco-Labrador, T. El-Madany, M. Martín, M. Migliavacca, M. Rossini, A. Carrara, und P. Zarco-Tejada. Remote Sensing, 9 (6): 608 (2017)Effects of Heterogeneity within Tree Crowns on Airborne-Quantified SIF and the CWSI as Indicators of Water Stress in the Context of Precision Agriculture.C. Camino, P. Zarco-Tejada, und V. González-Dugo. Remote Sensing, 10 (4): 604 (2018)Unmixing-Based Fusion of Hyperspatial and Hyperspectral Airborne Imagery for Early Detection of Vegetation Stress.S. Delalieux, P. Zarco-Tejada, L. Tits, M. Jiménez-Bello, D. Intrigliolo, und B. Somers. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (6): 2571-2582 (2014)A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data.R. Hernández-Clemente, R. Navarro-Cerrillo, F. Ramírez, A. Hornero, und P. Zarco-Tejada. Remote Sensing, 6 (11): 11627-11648 (2014)Estimating Radiation Interception in Heterogeneous Orchards Using High Spatial Resolution Airborne Imagery.M. Guillén-Climent, P. Zarco-Tejada, und F. Villalobos. IEEE Geosci. Remote. Sens. Lett., 11 (2): 579-583 (2014)