Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada
Professor in Remote Sensing & Precision Agriculture, University of Melbourne & Honorary IAS-CSIC
Verified email at - Homepage
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Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
D Haboudane, JR Miller, E Pattey, PJ Zarco-Tejada, IB Strachan
Remote sensing of environment 90 (3), 337-352, 2004
Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
D Haboudane, JR Miller, N Tremblay, PJ Zarco-Tejada, L Dextraze
Remote sensing of environment 81 (2-3), 416-426, 2002
Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle
JAJ Berni, PJ Zarco-Tejada, L Suárez, E Fereres
IEEE Transactions on geoscience and Remote Sensing 47 (3), 722-738, 2009
PROSPECT+ SAIL models: A review of use for vegetation characterization
S Jacquemoud, W Verhoef, F Baret, C Bacour, PJ Zarco-Tejada, ...
Remote sensing of environment 113, S56-S66, 2009
Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
PJ Zarco-Tejada, V González-Dugo, JAJ Berni
Remote sensing of environment 117, 322-337, 2012
Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence
L Guanter, Y Zhang, M Jung, J Joiner, M Voigt, JA Berry, C Frankenberg, ...
Proceedings of the National Academy of Sciences 111 (14), E1327-E1333, 2014
Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data
PJ Zarco-Tejada, JR Miller, TL Noland, GH Mohammed, PH Sampson
IEEE Transactions on Geoscience and Remote Sensing 39 (7), 1491-1507, 2001
Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
PJ Zarco-Tejada, A Berjón, R López-Lozano, JR Miller, P Martín, ...
Remote Sensing of Environment 99 (3), 271-287, 2005
Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
SL Ustin, AA Gitelson, S Jacquemoud, M Schaepman, GP Asner, ...
Remote Sensing of Environment 113, S67-S77, 2009
Water content estimation in vegetation with MODIS reflectance data and model inversion methods
PJ Zarco-Tejada, CA Rueda, SL Ustin
Remote Sensing of Environment 85 (1), 109-124, 2003
Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
PJ Zarco-Tejada, R Diaz-Varela, V Angileri, P Loudjani
European journal of agronomy 55, 89-99, 2014
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada
Remote Sensing 10 (7), 1091, 2018
High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices
R Calderón, JA Navas-Cortés, C Lucena, PJ Zarco-Tejada
Remote Sensing of Environment 139, 231-245, 2013
Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops
PJ Zarco-Tejada, JR Miller, A Morales, A Berjón, J Agüera
Remote sensing of environment 90 (4), 463-476, 2004
Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery
JAJ Berni, PJ Zarco-Tejada, G Sepulcre-Cantó, E Fereres, F Villalobos
Remote Sensing of Environment 113 (11), 2380-2388, 2009
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
GH Mohammed, R Colombo, EM Middleton, U Rascher, C van der Tol, ...
Remote sensing of environment 231, 111177, 2019
Mapping crop water stress index in a ‘Pinot-noir’vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle
J Bellvert, PJ Zarco-Tejada, J Girona, E Fereres
Precision agriculture 15, 361-376, 2014
Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects
PJ Zarco-Tejada, JC Pushnik, S Dobrowski, SL Ustin
Remote Sensing of Environment 84 (2), 283-294, 2003
Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard
V Gonzalez-Dugo, P Zarco-Tejada, E Nicolás, PA Nortes, JJ Alarcón, ...
Precision Agriculture 14, 660-678, 2013
Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale
SZ Dobrowski, JC Pushnik, PJ Zarco-Tejada, SL Ustin
Remote sensing of environment 97 (3), 403-414, 2005
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