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Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada
Professor in Remote Sensing & Precision Agriculture, University of Melbourne & Honorary IAS-CSIC
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
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
27722004
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
21682002
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
15882009
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
15832009
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
10202012
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
9652014
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
8172001
Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
PJ Zarco-Tejada, A Berjón, R Lopez-Lozano, JR Miller, P Martín, ...
Remote Sensing of Environment 99 (3), 271-287, 2005
7922005
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
7452009
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
6702003
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
6662014
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
5112018
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
5012013
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
4982004
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
4802019
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
4792009
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
4042014
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
3862003
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
3822013
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
3682005
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