A. Hornero

发表

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

P. Zarco-Tejada, M. Zaman-Allah, O. Vergara, 2015, Plant Methods.

A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization

P. Zarco-Tejada, M. Zaman-Allah, J. Araus, 2016, Front. Plant Sci..

Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery

P. Beck, P. Zarco-Tejada, R. Hernández-Clemente, 2018, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure

Pablo J. Zarco-Tejada, Rocío Hernández-Clemente, Alberto Hornero, 2017 .

A Heritage Science Workflow to Preserve and Narrate a Rural Archeological Landscape Using Virtual Reality: The Cerro del Castillo of Belmez and Its Surrounding Environment (Cordoba, Spain)

P. Zarco-Tejada, A. Hornero, Rafael Obregón-Romero, 2020, Applied Sciences.

Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling

J. Peñuelas, L. Alonso, M. Mõttus, 2019, Current Forestry Reports.

Monitoring the incidence of Xylella fastidiosa infection in olive orchards using ground-based evaluations, airborne imaging spectroscopy and Sentinel-2 time series through 3-D radiative transfer modelling

P.J. Zarco-Tejada, P. Beck, P. Zarco-Tejada, 2020 .

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline

P. Kempeneers, P.J. Zarco-Tejada, P. Beck, 2019, Remote sensing of environment.

Physical model inversion of the green spectral region to track assimilation rate in almond trees with an airborne nano-hyperspectral imager

P. Zarco-Tejada, A. Hornero, V. González-Dugo, 2021 .

Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data

P. Zarco-Tejada, R. Hernández-Clemente, P. North, 2020 .

Assessing Canopy Responses to Thinnings for Sweet Chestnut Coppice with Time-Series Vegetation Indices Derived from Landsat-8 and Sentinel-2 Imagery

Carlos Cabo, Marta Prada, Rocío Hernández-Clemente, 2020, Remote. Sens..

Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis

P. Beck, P. Zarco-Tejada, A. Hornero, 2020 .

Accounting for the Spectral Resolution on Sif Retrieval From a Narrow-Band Airborne Imager Using Scope

P. Zarco-Tejada, A. Hornero, T. Poblete, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Monitoring Phytophthora Disease Symptoms Through Very-High-Resolution Multispectral and Thermal Drone Imagery

A. Hornero, N. Faria, I. Marengo, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data

Pablo J. Zarco-Tejada, Rocío Hernández-Clemente, Alberto Hornero, 2014, Remote. Sens..

High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes

Victoria González-Dugo, Giovanni Caruso, Giovanni Rallo, 2019, PloS one.

Divergent abiotic spectral pathways unravel pathogen stress signals across species

P. Zarco-Tejada, R. Hernández-Clemente, A. Hornero, 2021, Nature Communications.

Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations

P. Zarco-Tejada, R. Hernández-Clemente, P. North, 2018, Nature Plants.

Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits

P. Zarco-Tejada, A. Hornero, V. González-Dugo, 2021 .

Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline

P. Zarco-Tejada, R. Hernández-Clemente, P. North, 2021 .

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

P. Zarco-Tejada, M. Zaman-Allah, O. Vergara, 2015, Plant Methods.

Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: Modelling and validation in the context of plant phenotyping

P. Zarco-Tejada, R. Hernández-Clemente, A. Hornero, 2022, Remote Sensing of Environment.

Assessing wine grape quality parameters using plant traits derived from physical model inversion of hyperspectral imagery

P. Zarco-Tejada, A. Hornero, L. Suárez, 2021, Agricultural and Forest Meteorology.

Global monitoring of soil multifunctionality in drylands using satellite imagery and field data

R. Hernández-Clemente, A. Hornero, V. González-Dugo, 2023, Remote Sensing in Ecology and Conservation.

Using Sentinel-2 Imagery to Track Changes Produced by Xylella Fastidiosa in Olive Trees

Pablo J. Zarco-Tejada, Rocío Hernández-Clemente, Alberto Hornero, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne hyperspectral imagery

P. Zarco-Tejada, R. Hernández-Clemente, A. Hornero, 2023, Remote Sensing of Environment.

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline

P. Zarco-Tejada, R. Hernández-Clemente, A. Hornero, 2019, Remote sensing of environment.

Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations

P. Zarco-Tejada, R. Hernández-Clemente, A. Hornero, 2018, Nature Plants.

The Database of European Forest Insect and Disease Disturbances: DEFID2

P. Beck, R. Hernández-Clemente, A. Hornero, 2023, Global change biology.

Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries

P. Zarco-Tejada, A. Hornero, A. Longmire, 2023, ISPRS Journal of Photogrammetry and Remote Sensing.

Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery

P. Zarco-Tejada, R. Hernández-Clemente, A. Hornero, 2018, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.