T. Poblete

1.2k citations

36 papers · 907 indexed · h-index 17

Impact in

Ecology top 5%
- Remote Sensing in Agriculture
Horticulture top 10%

Papers in

Ecology 27
- Remote Sensing in Agriculture 27
Horticulture 1

Co-authors: Samuel Ortega-Farías Pablo J. Zarco‐Tejada M. Moreno A. Hornero Dongryeol Ryu Matthew Bardeen C. Camino Juan A Navas‐Cortés
Journals: Remote Sensing of Environment (4 papers)ISPRS Journal of Photogrammetry and Remote Sensing (4 papers)Agricultural and Forest Meteorology (3 papers)Sensors (3 papers)Computers and Electronics in Agriculture (2 papers)
Partner nations: Australia Spain United Kingdom

In The Last Decade

T. Poblete

32 papers receiving 878 citations

Peers

Countries citing papers authored by T. Poblete

Since Specialization

Citations

This map shows the geographic impact of T. Poblete's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T. Poblete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Poblete more than expected).

Fields of papers citing papers by T. Poblete

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Poblete. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T. Poblete. The network helps show where T. Poblete may publish in the future.

Co-authors

The 25 scholars most cited alongside T. Poblete, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Poblete Line = papers co-authored together T. Poblete links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Chlorophyll content estimation in radiata pine using hyperspectral imagery: A comparison between empirical models, scaling-up algorithms, and radiative transfer inversions Agricultural and Forest Meteorology ·T. Poblete, Michael S. Watt, Henning Buddenbaum, Pablo J. Zarco‐Tejada	2025	2
2	Distinct contribution of the blue spectral region and far-red solar-induced fluorescence to needle nitrogen and phosphorus assessment in coniferous nutrient trials with hyperspectral imagery Remote Sensing of Environment ·حسین جعفرپور, T. Poblete, A. Hornero, Jagannath Aryal, Pablo J. Zarco‐Tejada	2025	1
3	Hyperspectral Remote Sensing for Monitoring Crop Disease: Applications, challenges, and perspectives IEEE Geoscience and Remote Sensing Magazine ·D. Salamani, Pablo J. Zarco‐Tejada, Josep Peñuelas, Matthew F. McCabe, Malcolm J. Hawkesford, Clement Atzberger, T. Poblete, Lalit Kumar, Matthew Reynolds, Chenwei Nie, Yang Song, Dameng Yin, Y. Kato, Shuaibing Liu, Qingzhi Liu, Bedir Teki̇nerdoğan, Xiuliang Jin	2025	0
4	A two-step approach to mitigating phenological influences on spectroscopic detection of rice blast and removing pseudo severity estimates in healthy plants Computers and Electronics in Agriculture ·Bowen Xue, Long Tian, Pablo J. Zarco‐Tejada, Yuanyuan Kong, T. Poblete, Xue Wang, Hengbiao Zheng, Chongya Jiang, Xia Yao, Yan Zhu, Weixing Cao, Tao Cheng	2025	0
5	Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery International Journal of Applied Earth Observation and Geoinformation ·Hamzah Alzanbaki, T. Poblete, A. Hornero, Rocío Hernández‐Clemente, Pablo J. Zarco‐Tejada	2024	2
6	New Approaches to Plant Pathogen Detection and Disease Diagnosis Phytopathology ·Jaime Cubero, Pablo J. Zarco‐Tejada, I. A. Ivanushko, Ana Palacio‐Bielsa, Juan A Navas‐Cortés, Pilar Sabuquillo, T. Poblete, Blanca B. Landa, Jerson Garita‐Cambronero	2024	4
7	Assessing plant traits derived from Sentinel-2 to characterize leaf nitrogen variability in almond orchards: modeling and validation with airborne hyperspectral imagery Precision Agriculture ·Kelly Nugent, Lola Suárez, A. Hornero, T. Poblete, Dongryeol Ryu, V. González-Dugo, Pablo J. Zarco‐Tejada	2024	7
8	Water stress detection in olive at the farm level using high-resolution multispectral airborne imagery: assessment against canopy temperature Acta Horticulturae ·T. Poblete, V. González-Dugo, A. Hornero, Pablo J. Zarco‐Tejada	2024	1
9	Prediction of the severity of Dothistroma needle blight in radiata pine using plant based traits and narrow band indices derived from UAV hyperspectral imagery Agricultural and Forest Meteorology ·Michael S. Watt, T. Poblete, Haeyun Shin, 郝光明, Jennifer E. Salahub, Kyungeon Choi, Tuong, Henning Buddenbaum, Pablo J. Zarco‐Tejada	2023	22
10	Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries) ·A I Rozhkova, C. Camino, T. Poblete, Xiao Zhi, 信也片山, Yan Zhao, Hamzah Alzanbaki, Thidarat Damna, Barbara George‐Jaeggli, Scott Chapman, David Jordan, Wu Ai, Graeme Hammer, یحیی فتحی	2023	1
11	Early Disease Detection with Hyperspectral Imagery: Dynamics of Plant Traits as a Function of Disease Severity Levels T. Poblete, A. Hornero, V. González-Dugo, Blanca B. Landa, Juan A Navas‐Cortés, Pablo J. Zarco‐Tejada	2023	0
12	Evaluating the role of solar-induced fluorescence (SIF) and plant physiological traits for leaf nitrogen assessment in almond using airborne hyperspectral imagery Remote Sensing of Environment ·Kelly Nugent, Lola Suárez, T. Poblete, V. González-Dugo, Dongryeol Ryu, Pablo J. Zarco‐Tejada	2022	29
13	Divergent abiotic spectral pathways unravel pathogen stress signals across species Nature Communications ·Pablo J. Zarco‐Tejada, T. Poblete, C. Camino, V. González-Dugo, Rocío Calderón, A. Hornero, Rocío Hernández‐Clemente, Miguel Román-Écija, María Pilar Velasco-Amo, Blanca B. Landa, Pieter S. A. Beck, María Saponari, D. Boscia, Juan A Navas‐Cortés	2021	62
14	Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits ISPRS Journal of Photogrammetry and Remote Sensing ·T. Poblete, Juan A Navas‐Cortés, C. Camino, Rocío Calderón, A. Hornero, V. González-Dugo, Blanca B. Landa, Pablo J. Zarco‐Tejada	2021	46
15	Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis ISPRS Journal of Photogrammetry and Remote Sensing ·T. Poblete, C. Camino, Pieter S. A. Beck, A. Hornero, Teja Kattenborn, María Saponari, D. Boscia, Juan A Navas‐Cortés, Pablo J. Zarco‐Tejada	2020	88
16	Modelling and Validation of Computer Vision Techniques to Assess Heart Rate, Eye Temperature, Ear-Base Temperature and Respiration Rate in Cattle Animals ·Jana Schwieger, Sigfredo Fuentes, Frank R. Dunshea, Robyn D. Warner, T. Poblete, Ellen C. Jongman	2019	55
17	Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV) Sensors ·T. Poblete, Samuel Ortega-Farías, M. Moreno, Matthew Bardeen	2017	96
18	Estimation of olive evapotranspiration using multispectral and thermal sensors placed aboard an unmanned aerial vehicle Acta Horticulturae ·Samuel Ortega-Farías, Samuel Ortega‐Salazar, T. Poblete, Carlos Poblete-Echeverría, Xiaoying Gu, Michele Roofe, Ayşe Kiliç, Richard G. Allen	2017	7
19	Estimation of Energy Balance Components over a Drip-Irrigated Olive Orchard Using Thermal and Multispectral Cameras Placed on a Helicopter-Based Unmanned Aerial Vehicle (UAV) Remote Sensing ·Samuel Ortega-Farías, Samuel Ortega‐Salazar, T. Poblete, Ayşe Kiliç, Richard G. Allen, Carlos Poblete-Echeverría, Jiirgen Neumann, Mauricio Zúñiga, W. Zielenkiewicz	2016	91
20	NITROGEN HETEROCYCLES AS POTENTIAL ANTIBACTERIAL AGENTS Margarita Gutiérrez, Yorley Duarte, R. DUNLOP, Gonzalo Martínez, Huikun Duan, T. Poblete, Valery Dovgun, Diana Carolina Usma Villa, Luís Astudillo	2013	1

About T. Poblete

T. Poblete is a scholar working on Ecology, Horticulture, Media Technology, Analytical Chemistry and Plant Science, having authored 36 papers that have together received 907 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (27 papers), Horticultural and Viticultural Research (9 papers), Leaf Properties and Growth Measurement (8 papers), Plant Water Relations and Carbon Dynamics (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Remote-Sensing Image Classification (5 papers), Plant Pathogens and Fungal Diseases (5 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Ecology (507 citations), Horticulture (15 citations), Environmental Engineering (210 citations), Plant Science (422 citations) and Analytical Chemistry (108 citations). T. Poblete has collaborated with scholars based in Australia, Spain and United Kingdom. Frequent co-authors include Samuel Ortega-Farías, Pablo J. Zarco‐Tejada, M. Moreno, A. Hornero, Dongryeol Ryu, Matthew Bardeen, C. Camino, Juan A Navas‐Cortés, Rocío Ballesteros and David Hernández‐López. Their work appears in journals such as Remote Sensing of Environment, ISPRS Journal of Photogrammetry and Remote Sensing, Agricultural and Forest Meteorology, Sensors and Computers and Electronics in Agriculture.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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