Fluorescence-based photosynthesis estimates for vegetation productivity monitoring from space

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Publications

Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

Auteurs: Mozhgan Abbasi, Jochem Verrelst, Mohsen Mirzaei, Safar Marofi, Hamid Reza Riyahi Bakhtiari
Publié dans: Remote Sensing, Numéro 12/1, 2020, Page(s) 63, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12010063

Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis

Auteurs: Mirzaei, Verrelst, Marofi, Abbasi, Azadi
Publié dans: Remote Sensing, Numéro 11/23, 2019, Page(s) 2731, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11232731

Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression

Auteurs: Adeluyi, O., Harris, A., Verrelst, J., Foster, D., Clay, G.D.
Publié dans: International Journal of Applied Earth Observations and Geoinformation, Numéro 102, 2021, ISSN 1569-8432
Éditeur: Elsevier BV
DOI: 10.1016/j.jag.2021.102454

Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission

Auteurs: Candiani, G., Tagliabue, G., Panigada, C., Verrelst, J., Picchi, V., Rivera Caicedo, J.P., Boschetti, M.
Publié dans: Remote Sensing, Numéro 14(8), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14081792

Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-like Imagery with Uncertainty

Auteurs: M. Morata, B. Siegmann, A. Pérez-Suay, J. L. García-Soria, J. P. Rivera-Caicedo
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, ISSN 1939-1404
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2022.3231380

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

Auteurs: Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Zhihui Wang, Matthias Wocher, Markus Strathmann, Martin Danner, Wolfram Mauser, Tobias Hank
Publié dans: Remote Sensing of Environment, Numéro 242, 2020, Page(s) 111758, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2020.111758

Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery

Auteurs: Berger, K., Hank, T., Halabuk, A., Rivera-Caicedo, J.P., Wocher, M., Mojses, M., Gerhátová, K., Tagliabue, G., Dolz, M.M., Venteo, A.B.P., Verrelst, J.
Publié dans: Remote Sensing, Numéro 13(22), 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13224711

Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI

Auteurs: Amin, E., Belda, S., Pipia, L., Szantoi, Z., El Baroudy, A., Moreno, J., Verrelst, J.
Publié dans: Remote Sensing, Numéro 14(8), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14081812

Systematic Assessment of MODTRAN Emulators for Atmospheric Correction

Auteurs: Jorge Vicent Servera; Juan Pablo Rivera-Caicedo; Jochem Verrelst; Jordi Muñoz-Marí; Neus Sabater; Beatrice Berthelot; Gustau Camps-Valls; Jose Moreno
Publié dans: IEEE Transactions on Geoscience and Remote Sensing, Numéro 17, 2021, ISSN 0196-2892
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2021.3071376

Classification of Plant Ecological Units in Heterogeneous Semi-Steppe Rangelands: Performance Assessment of Four Classification Algorithms

Auteurs: Aghababaei, M., Ebrahimi, A., Naghipour, A.A., Asadi, E., Verrelst, J.
Publié dans: Remote Sensing, Numéro 13(17), 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13173433

Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data

Auteurs: Pascual-Venteo, A.B., Portalés, E., Berger, K., Tagliabue, G., Garcia, J.L., Pérez-Suay, A., Rivera-Caicedo, J.P., Verrelst, J.
Publié dans: Remote Sensing, Numéro 14(10), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14102448

Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI

Auteurs: Benjamin Brede, Jochem Verrelst, Jean-Philippe Gastellu-Etchegorry, Jan G. P. W. Clevers, Leo Goudzwaard, Jan den Ouden, Jan Verbesselt, Martin Herold
Publié dans: Remote Sensing, Numéro 12/6, 2020, Page(s) 915, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12060915

Improving the remote estimation of soil organic carbon in complex ecosystems with Sentinel-2 and GIS using Gaussian processes regression

Auteurs: Ayala Izurieta, J.E., Jara Santillán, C.A., Márquez, C.O., Garcia, V.J., Rivera Caicedo, J.P., Van Wittenberghe, S., Delegido, J., Verrelst, J.
Publié dans: Plant Soil, 2022, ISSN 0032-079X
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11104-022-05506-1

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection

Auteurs: Santiago Belda, Luca Pipia, Pablo Morcillo-Pallarés, Juan Pablo Rivera-Caicedo, Eatidal Amin, Charlotte De Grave, Jochem Verrelst
Publié dans: Environmental Modelling & Software, Numéro 127, 2020, Page(s) 104666, ISSN 1364-8152
Éditeur: Elsevier BV
DOI: 10.1016/j.envsoft.2020.104666

Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery

Auteurs: Caballero, G.; Pezzola, A.; Winschel, C.; Casella, A.; Sanchez Angonova, P.; Rivera-Caicedo, J.P.; Berger, K.; Verrelst, J.; Delegido, J.
Publié dans: Remote Sensing, Numéro 14(18), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14184531

Drift of the Earth’s Principal Axes of Inertia from GRACE and Satellite Laser Ranging Data

Auteurs: José M. Ferrándiz, Sadegh Modiri, Santiago Belda, Mikhail Barkin, Mathis Bloßfeld, Robert Heinkelmann, Harald Schuh
Publié dans: Remote Sensing, Numéro 12/2, 2020, Page(s) 314, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12020314

Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

Auteurs: Jorge Vicent, Jochem Verrelst, Neus Sabater, Luis Alonso, Juan Pablo Rivera-Caicedo, Luca Martino, Jordi Muñoz-Marí, José Moreno
Publié dans: Geoscientific Model Development, Numéro 13/4, 2020, Page(s) 1945-1957, ISSN 1991-9603
Éditeur: Copernicus Publications on EGU
DOI: 10.5194/gmd-13-1945-2020

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

Auteurs: Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls
Publié dans: International Journal of Applied Earth Observation and Geoinformation, Numéro 92, 2020, Page(s) 102174, ISSN 0303-2434
Éditeur: International Institute for Aerial Survey and Earth Sciences
DOI: 10.1016/j.jag.2020.102174

Changes in Onset of Vegetation Growth on Svalbard, 2000–2020

Auteurs: Karlsen SR, Elvebakk A, Tømmervik H, Belda S, Stendardi L.
Publié dans: Remote Sensing, 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14246346

Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements

Auteurs: Kohonen, K.-M., Dewar, R., Tramontana, G., Mauranen, A., Kolari, P., Kooijmans, L. M. J., Papale, D., Vesala, T., and Mammarella, I.
Publié dans: Biogeosciences, Numéro 19(17), 2022, Page(s) 4067–4088, ISSN 1726-4189
Éditeur: Copernicus Publications
DOI: 10.5194/bg-19-4067-2022

Mapping landscape canopy nitrogen content from space using PRISMA data

Auteurs: Verrelst, J., Rivera-Caicedo, J.P., Reyes-Muñoz, P., Morata, M., Amin, E., Tagliabue, G., Panigada, C., Hank, T., Berger, K.
Publié dans: ISPRS Journal of Photogrammetry and Remote Sensing, Numéro 178, 2021, ISSN 0924-2716
Éditeur: Elsevier BV
DOI: 10.1016/j.isprsjprs.2021.06.017

Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models

Auteurs: Pablo Morcillo-Pallarés, Juan Pablo Rivera-Caicedo, Santiago Belda, Charlotte De Grave, Helena Burriel, Jose Moreno, Jochem Verrelst
Publié dans: Remote Sensing, Numéro 11/20, 2019, Page(s) 2418, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11202418

Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform

Auteurs: Aghababaei, M.; Ebrahimi, A.; Naghipour, A.A.; Asadi, E.; Verrelst, J.
Publié dans: Remote Sensing, Numéro 13(22), 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13224683

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

Auteurs: Berger, K., Machwitz, M., Kycko, M., Kefauver, S. C., Van Wittenberghe, S., Gerhards, M., Verrelst, J., ... & Schlerf, M.
Publié dans: Remote Sensing of Environment, Numéro 280, 2022, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2022.113198

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

Auteurs: José Estévez, Jorge Vicent, Juan Pablo Rivera-Caicedo, Pablo Morcillo-Pallarés, Francesco Vuolo, Neus Sabater, Gustau Camps-Valls, José Moreno, Jochem Verrelst
Publié dans: ISPRS Journal of Photogrammetry and Remote Sensing, Numéro 167, 2020, Page(s) 289-304, ISSN 0924-2716
Éditeur: Elsevier BV
DOI: 10.1016/j.isprsjprs.2020.07.004

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

Auteurs: Katja Berger, Juan Pablo Rivera Caicedo, Luca Martino, Matthias Wocher, Tobias Hank, Jochem Verrelst
Publié dans: Remote Sensing, Numéro 13/2, 2021, Page(s) 287, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13020287

Introducing ARTMO’s Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape

Auteurs: Aghababaei, M.; Ebrahimi, A.; Naghipour, A.A.; Asadi, E.; Pérez-Suay, A.; Morata, M.; Garcia, J.L.; Rivera Caicedo, J.P.; Verrelst, J.
Publié dans: Remote Sensing, Numéro 14(18), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14184452

Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer

Auteurs: Morata, M., Siegmann, B., Morcillo-Pallarés, P., Rivera-Caicedo, J.P,; Verrelst, J.
Publié dans: Remote Sensing, Numéro 13(21), 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13214368

Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data

Auteurs: Jochem Verrelst, Jorge Vicent, Juan Pablo Rivera-Caicedo, Maria Lumbierres, Pablo Morcillo-Pallarés, José Moreno
Publié dans: Remote Sensing, Numéro 11/16, 2019, Page(s) 1923, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11161923

Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data

Auteurs: Perich, G., Aasen, H., Verrelst, J., Argento, F., Walter, A., Liebisch, F.
Publié dans: Remote Sensing, Numéro 13(12), 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13122404

Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

Auteurs: Gianluca Tramontana, Mirco Migliavacca, Martin Jung, Markus Reichstein, Trevor F. Keenan, Gustau Camps‐Valls, Jerome Ogee, Jochem Verrelst, Dario Papale
Publié dans: Global Change Biology, Numéro 26/9, 2020, Page(s) 5235-5253, ISSN 1354-1013
Éditeur: Blackwell Publishing Inc.
DOI: 10.1111/gcb.15203

Biomass Assessment of Agricultural Crops Using Multi-temporal Dual-Polarimetric TerraSAR-X Data

Auteurs: Nima Ahmadian, Tobias Ullmann, Jochem Verrelst, Erik Borg, Reinhard Zölitz, Christopher Conrad
Publié dans: PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Numéro 87/4, 2019, Page(s) 159-175, ISSN 2512-2789
Éditeur: Springer
DOI: 10.1007/s41064-019-00076-x

Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

Auteurs: Luca Pipia, Eatidal Amin, Santiago Belda, Matías Salinero-Delgado, Jochem Verrelst
Publié dans: Remote Sensing, Numéro 13/3, 2021, Page(s) 403, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13030403

Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources

Auteurs: Charlotte De Grave, Jochem Verrelst, Pablo Morcillo-Pallarés, Luca Pipia, Juan Pablo Rivera-Caicedo, Eatidal Amin, Santiago Belda, José Moreno
Publié dans: Remote Sensing of Environment, Numéro 251, 2020, Page(s) 112101, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2020.112101

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression

Auteurs: Salinero-Delgado, M., Estévez, J., Pipia, L., Belda, S., Berger, K., Paredes Gómez, V., Verrelst, J.
Publié dans: Remote Sensing, Numéro 14(1), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14010146

Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring

Auteurs: Santiago Belda, Luca Pipia, Pablo Morcillo-Pallarés, Jochem Verrelst
Publié dans: Agronomy, Numéro 10/5, 2020, Page(s) 618, ISSN 2073-4395
Éditeur: MDPI
DOI: 10.3390/agronomy10050618

Urban Heat Island Monitoring and Impacts on Citizen’s General Health Status in Isfahan Metropolis: A Remote Sensing and Field Survey Approach

Auteurs: Mohsen Mirzaei, Jochem Verrelst, Mohsen Arbabi, Zohreh Shaklabadi, Masoud Lotfizadeh
Publié dans: Remote Sensing, Numéro 12/8, 2020, Page(s) 1350, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12081350

Quantifying mangrove leaf area index from Sentinel-2 imagery using hybrid models and active learning

Auteurs: N. Binh, L. Hauser, P. Hoa, G. Thao, N. An, H. N. hut, T. Phuong, J. Verrelst
Publié dans: International Journal of Remote Sensing, 2022, ISSN 0143-1161
Éditeur: Taylor & Francis
DOI: 10.1080/01431161.2021.2024912

Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment

Auteurs: Gao, L., Darvishzadeh, R., Somers, B., Johnson, B. A., Wang, Y., Verrelst, J., Wang, X., Atzberger, C.
Publié dans: Agricultural and Forest Meteorology, 2022, ISSN 0168-1923
Éditeur: Elsevier BV
DOI: 10.1016/j.agrformet.2022.109178

Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India

Auteurs: Sanjiv K. Sinha, Hitendra Padalia, Anindita Dasgupta, Jochem Verrelst, Juan Pablo Rivera
Publié dans: International Journal of Applied Earth Observation and Geoinformation, Numéro 86, 2020, Page(s) 102027, ISSN 0303-2434
Éditeur: International Institute for Aerial Survey and Earth Sciences
DOI: 10.1016/j.jag.2019.102027

Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data

Auteurs: J. Estévez, M. Salinero-Delgado, K. Berger, L. Pipia, J.P. Rivera-Caicedo, M. Wocher, P. Reyes-Muñoz, G. Tagliabue, M. Boschetti, J. Verrelst
Publié dans: Remote Sensing of Environment, Numéro 273, 2022, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2022.112958

Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

Auteurs: G. Tagliabue, M. Boschetti, G. Bramati, G. Candiani, R. Colombo, F. Nutini, L. Pompilio, J. P. Rivera-Caicedo, M. Rossi, M. Rossini, J. Verrelst, C. Panigada
Publié dans: ISPRS Journal of Photogrammetry and Remote Sensing, Numéro 187, 2022, ISSN 0924-2716
Éditeur: Elsevier BV
DOI: 10.1016/j.isprsjprs.2022.03.014

Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms

Auteurs: Jochem Verrelst, Katja Berger, Juan Pablo Rivera-Caicedo
Publié dans: IEEE Geoscience and Remote Sensing Letters, 2020, Page(s) 1-5, ISSN 1545-598X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lgrs.2020.3014676

Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network

Auteurs: Mohammad Hajeb, Saeid Hamzeh, Seyed Kazem Alavipanah, Lamya Neissi, Jochem Verrelst
Publié dans: International Journal of Applied Earth Observation and Geoinformation,, Numéro 116, 2023, ISSN 1569-8432
Éditeur: Elsevier BV
DOI: 10.1016/j.jag.2022.103168

A new hybrid method to improve the ultra-short-term prediction of LOD

Auteurs: Sadegh Modiri, Santiago Belda, Mostafa Hoseini, Robert Heinkelmann, José M. Ferrándiz, Harald Schuh
Publié dans: Journal of Geodesy, Numéro 94/2, 2020, ISSN 0949-7714
Éditeur: Springer Verlag
DOI: 10.1007/s00190-020-01354-y

Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

Auteurs: Jochem Verrelst, Zbyněk Malenovský, Christiaan Van der Tol, Gustau Camps-Valls, Jean-Philippe Gastellu-Etchegorry, Philip Lewis, Peter North, Jose Moreno
Publié dans: Surveys in Geophysics, Numéro 40/3, 2019, Page(s) 589-629, ISSN 0169-3298
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10712-018-9478-y

Retrieval of canopy water content of different crop types with two new hyperspectral indices: Water Absorption Area Index and Depth Water Index

Auteurs: Nieves Pasqualotto, Jesús Delegido, Shari Van Wittenberghe, Jochem Verrelst, Juan Pablo Rivera, José Moreno
Publié dans: International Journal of Applied Earth Observation and Geoinformation, Numéro 67, 2018, Page(s) 69-78, ISSN 0303-2434
Éditeur: International Institute for Aerial Survey and Earth Sciences
DOI: 10.1016/j.jag.2018.01.002

Polar motion prediction using the combination of SSA and Copula-based analysis

Auteurs: Sadegh Modiri, Santiago Belda, Robert Heinkelmann, Mostafa Hoseini, José M. Ferrándiz, Harald Schuh
Publié dans: Earth, Planets and Space, Numéro 70/1, 2018, ISSN 1880-5981
Éditeur: Springer Open
DOI: 10.1186/s40623-018-0888-3

Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models

Auteurs: Jorge Vicent Servera, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls, Jose Moreno
Publié dans: IEEE Transactions on Geoscience and Remote Sensing, Numéro 57/2, 2019, Page(s) 1040-1048, ISSN 0196-2892
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2018.2864517

Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies

Auteurs: Zbyněk Malenovský, Lucie Homolová, Petr Lukeš, Henning Buddenbaum, Jochem Verrelst, Luis Alonso, Michael E. Schaepman, Nicolas Lauret, Jean-Philippe Gastellu-Etchegorry
Publié dans: Surveys in Geophysics, Numéro 40/3, 2019, Page(s) 631-656, ISSN 0169-3298
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10712-019-09534-y

Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes

Auteurs: Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Neus Sabater, Jordi Munoz-Mari, Gustau Camps-Valls, Jose Moreno
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numéro 11/12, 2018, Page(s) 4918-4931, ISSN 1939-1404
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2018.2875330

Impact of the terrestrial reference frame on the determination of the celestial reference frame

Auteurs: Maria Karbon, Santiago Belda, Tobias Nilsson
Publié dans: Geodesy and Geodynamics, Numéro 10/1, 2019, Page(s) 58-71, ISSN 1674-9847
Éditeur: Elsevier
DOI: 10.1016/j.geog.2018.11.001

Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation

Auteurs: Jochem Verrelst, Juan Rivera Caicedo, Jorge Vicent, Pablo Morcillo Pallarés, José Moreno
Publié dans: Remote Sensing, Numéro 11/2, 2019, Page(s) 157, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11020157

A new method to improve the prediction of the celestial pole offsets

Auteurs: Santiago Belda, José M. Ferrándiz, Robert Heinkelmann, Harald Schuh
Publié dans: Scientific Reports, Numéro 8/1, 2018, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-018-32082-1

Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy–Leaving Sun–Induced Chlorophyll Fluorescence

Auteurs: Neus Sabater, Jorge Vicent, Luis Alonso, Jochem Verrelst, Elizabeth Middleton, Albert Porcar-Castell, José Moreno
Publié dans: Remote Sensing, Numéro 10/10, 2018, Page(s) 1551, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs10101551

Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem

Auteurs: Giulia Tagliabue, Cinzia Panigada, Benjamin Dechant, Frédéric Baret, Sergio Cogliati, Roberto Colombo, Mirco Migliavacca, Patrick Rademske, Anke Schickling, Dirk Schüttemeyer, Jochem Verrelst, Uwe Rascher, Youngryel Ryu, Micol Rossini
Publié dans: Remote Sensing of Environment, Numéro 231, 2019, Page(s) 111272, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2019.111272

Scenario-based discrimination of common grapevine varieties using in-field hyperspectral data in the western of Iran

Auteurs: Mohsen Mirzaei, Safar Marofi, Mozhgan Abbasi, Eisa Solgi, Rholah Karimi, Jochem Verrelst
Publié dans: International Journal of Applied Earth Observation and Geoinformation, Numéro 80, 2019, Page(s) 26-37, ISSN 0303-2434
Éditeur: International Institute for Aerial Survey and Earth Sciences
DOI: 10.1016/j.jag.2019.04.002

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning

Auteurs: V. Döpper, A. D. Rocha, K. Berger, T. Gränzig, J. Verrelst, B. Kleinschmit, M. Förster
Publié dans: International Journal of Applied Earth Observation and Geoinformation, Numéro 110, 2022, ISSN 1569-8432
Éditeur: Elsevier BV
DOI: 10.1016/j.jag.2022.102817

Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring

Auteurs: Eatidal Amin, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Luca Pipia, Antonio Ruiz-Verdú, José Moreno
Publié dans: Remote Sensing of Environment, 2020, Page(s) 112168, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2020.112168

Analysis of Biophysical Variables in an Onion Crop (Allium cepa L.) with Nitrogen Fertilization by Sentinel-2 Observations

Auteurs: Casella, A., Orden, L., Pezzola, N.A., Bellaccomo, C., Winschel, C.I., Caballero, G.R., Delegido, J., Gracia, L.M.N., Verrelst, J.
Publié dans: Agronomy, Numéro 12(8), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/agronomy12081884

Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction

Auteurs: Sajad Khoshnoodmotlagh, Jochem Verrelst, Alireza Daneshi, Mohsen Mirzaei, Hossein Azadi, Mohammad Haghighi, Masoud Hatamimanesh, Safar Marofi
Publié dans: Remote Sensing, Numéro 12/20, 2020, Page(s) 3329, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12203329

Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy

Auteurs: Chakhvashvili, E., Siegmann, B., Muller, O., Verrelst, J., Bendig, J., Kraska, T., Rascher, U.
Publié dans: Remote Sensing, Numéro 14(5), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14051247

Towards Understanding the Interconnection between Celestial Pole Motion and Earth’s Magnetic Field Using Space Geodetic Techniques

Auteurs: Modiri, S., Heinkelmann, R., Belda, S., Malkin, Z., Hoseini, M., Korte, M., Ferrándiz, J.M., Schuh, H.
Publié dans: Sensors, Numéro 21(22), 2021, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21227555

Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles

Auteurs: Caballero G, Pezzola A, Winschel C, Casella A, Sanchez Angonova P, Orden L, Berger K, Verrelst J, Delegido J.
Publié dans: Remote Sensing, 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14225867

Denoising AVIRIS-NG data for generation of new chlorophyll indices

Auteurs: Prachi Singh, Prashant K. Srivastava, Ramandeep Kaur M. Malhi, Sumit K. Chaudhary, Jochem Verrelst, Bimal K Bhattacharya, A S Raghubanshi
Publié dans: IEEE Sensors Journal, 2021, Page(s) 1-1, ISSN 1530-437X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsen.2020.3039855

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

Auteurs: Reyes-Muñoz, P., Pipia, L., Salinero-Delgado, M., Belda, S., Berger, K., Estévez, J., Morata, M., Rivera-Caicedo, J.P., Verrelst, J.
Publié dans: Remote Sensing, Numéro 14(6), 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14061347

Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

Auteurs: Lin Gao, Xiaofei Wang, Brian Alan Johnson, Qingjiu Tian, Yu Wang, Jochem Verrelst, Xihan Mu, Xingfa Gu
Publié dans: ISPRS Journal of Photogrammetry and Remote Sensing, Numéro 159, 2020, Page(s) 364-377, ISSN 0924-2716
Éditeur: Elsevier BV
DOI: 10.1016/j.isprsjprs.2019.11.018

Crop type discrimination using Geo-Stat Endmember Extraction and machine learning algorithms

Auteurs: P. Singh, P.K. Srivastava, D. Shah, M. K. Pandey, A. Anand, R. Prasad, R. Dave, J. Verrelst, B.K. Bhattacharya, A.S. Raghubanshi
Publié dans: Advances in Space Research, 2022, ISSN 0273-1177
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.asr.2022.08.031

Urban morphology detection and it's linking with land surface temperature: A case study for Tehran Metropolis, Iran

Auteurs: Khoshnoodmotlagh, S., Daneshi, A., Gharari, S., Verrelst, J., Mirzaei, M., Omrani, H.
Publié dans: Sustainable Cities and Society, Numéro 74, 2021, ISSN 2210-6707
Éditeur: Elsevier BV
DOI: 10.1016/j.scs.2021.103228

Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling

Auteurs: M. Ranghetti, M. Boschetti, L. Ranghetti, G. Tagliabue, C. Panigada, M. Gianinetto, J. Verrelst, G.Candian
Publié dans: European Journal of Remote Sensing, 2022, ISSN 2279-7254
Éditeur: Taylor & Francis
DOI: 10.1080/22797254.2022.2117650

Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor

Auteurs: Grave, C.D., Pipia, L., Siegmann, B., Morcillo-Pallarés, P., Rivera-Caicedo, J.P., Moreno, J., Verrelst, J.
Publié dans: Remote Sensing, Numéro 13/8, 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13081419

Potential use of grapevine cv Askari for heavy metal phytoremediation purposes at greenhouse scale

Auteurs: Mohsen Mirzaei, Jochem Verrelst, Alireza Riyahi Bakhtiari, Safar Marofi
Publié dans: Environmental Science and Pollution Research, 2020, ISSN 0944-1344
Éditeur: Springer Verlag
DOI: 10.1007/s11356-020-11129-9

Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

Auteurs: Luca Pipia, Jordi Muñoz-Marí, Eatidal Amin, Santiago Belda, Gustau Camps-Valls, Jochem Verrelst
Publié dans: Remote Sensing of Environment, Numéro 235, 2019, Page(s) 111452, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2019.111452

Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging

Auteurs: Abdelbaki, A., Schlerf, M., Retzlaff, R., Machwitz, M,. Verrelst, J., Udelhoven, T.
Publié dans: Remote Sensing, Numéro 13(9), 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13091748

Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire

Auteurs: José Manuel Fernández-Guisuraga, Jochem Verrelst, Leonor Calvo, Susana Suárez-Seoane
Publié dans: Remote Sensing of Environment, Numéro 255, 2021, Page(s) 112304, ISSN 0034-4257
Éditeur: Elsevier BV
DOI: 10.1016/j.rse.2021.112304

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow

Auteurs: Estévez, J., Berger, K., Vicent, J., Rivera-Caicedo. J.P., Wocher, M., Verrelst, J.
Publié dans: Remote Sensing, Numéro 13/8, 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13081589

Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas

Auteurs: Wocher, M., Berger, K., Verrelst, J., & Hank, T.
Publié dans: ISPRS Journal of Photogrammetry and Remote Sensing, 2022, ISSN 0924-2716
Éditeur: Elsevier BV
DOI: 10.1016/j.isprsjprs.2022.09.003

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