Fluorescence-based photosynthesis estimates for vegetation productivity monitoring from space

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Pubblicazioni

Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

Autori: Mozhgan Abbasi, Jochem Verrelst, Mohsen Mirzaei, Safar Marofi, Hamid Reza Riyahi Bakhtiari
Pubblicato in: Remote Sensing, Numero 12/1, 2020, Pagina/e 63, ISSN 2072-4292
Editore: 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

Autori: Mirzaei, Verrelst, Marofi, Abbasi, Azadi
Pubblicato in: Remote Sensing, Numero 11/23, 2019, Pagina/e 2731, ISSN 2072-4292
Editore: 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

Autori: Adeluyi, O., Harris, A., Verrelst, J., Foster, D., Clay, G.D.
Pubblicato in: International Journal of Applied Earth Observations and Geoinformation, Numero 102, 2021, ISSN 1569-8432
Editore: 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

Autori: Candiani, G., Tagliabue, G., Panigada, C., Verrelst, J., Picchi, V., Rivera Caicedo, J.P., Boschetti, M.
Pubblicato in: Remote Sensing, Numero 14(8), 2022, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14081792

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

Autori: M. Morata, B. Siegmann, A. Pérez-Suay, J. L. García-Soria, J. P. Rivera-Caicedo
Pubblicato in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, ISSN 1939-1404
Editore: 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

Autori: Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Zhihui Wang, Matthias Wocher, Markus Strathmann, Martin Danner, Wolfram Mauser, Tobias Hank
Pubblicato in: Remote Sensing of Environment, Numero 242, 2020, Pagina/e 111758, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2020.111758

Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery

Autori: 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.
Pubblicato in: Remote Sensing, Numero 13(22), 2021, ISSN 2072-4292
Editore: 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

Autori: Amin, E., Belda, S., Pipia, L., Szantoi, Z., El Baroudy, A., Moreno, J., Verrelst, J.
Pubblicato in: Remote Sensing, Numero 14(8), 2022, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14081812

Systematic Assessment of MODTRAN Emulators for Atmospheric Correction

Autori: Jorge Vicent Servera; Juan Pablo Rivera-Caicedo; Jochem Verrelst; Jordi Muñoz-Marí; Neus Sabater; Beatrice Berthelot; Gustau Camps-Valls; Jose Moreno
Pubblicato in: IEEE Transactions on Geoscience and Remote Sensing, Numero 17, 2021, ISSN 0196-2892
Editore: 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

Autori: Aghababaei, M., Ebrahimi, A., Naghipour, A.A., Asadi, E., Verrelst, J.
Pubblicato in: Remote Sensing, Numero 13(17), 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13173433

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

Autori: Pascual-Venteo, A.B., Portalés, E., Berger, K., Tagliabue, G., Garcia, J.L., Pérez-Suay, A., Rivera-Caicedo, J.P., Verrelst, J.
Pubblicato in: Remote Sensing, Numero 14(10), 2022, ISSN 2072-4292
Editore: 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

Autori: Benjamin Brede, Jochem Verrelst, Jean-Philippe Gastellu-Etchegorry, Jan G. P. W. Clevers, Leo Goudzwaard, Jan den Ouden, Jan Verbesselt, Martin Herold
Pubblicato in: Remote Sensing, Numero 12/6, 2020, Pagina/e 915, ISSN 2072-4292
Editore: 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

Autori: 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.
Pubblicato in: Plant Soil, 2022, ISSN 0032-079X
Editore: 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

Autori: Santiago Belda, Luca Pipia, Pablo Morcillo-Pallarés, Juan Pablo Rivera-Caicedo, Eatidal Amin, Charlotte De Grave, Jochem Verrelst
Pubblicato in: Environmental Modelling & Software, Numero 127, 2020, Pagina/e 104666, ISSN 1364-8152
Editore: 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

Autori: Caballero, G.; Pezzola, A.; Winschel, C.; Casella, A.; Sanchez Angonova, P.; Rivera-Caicedo, J.P.; Berger, K.; Verrelst, J.; Delegido, J.
Pubblicato in: Remote Sensing, Numero 14(18), 2022, ISSN 2072-4292
Editore: 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

Autori: José M. Ferrándiz, Sadegh Modiri, Santiago Belda, Mikhail Barkin, Mathis Bloßfeld, Robert Heinkelmann, Harald Schuh
Pubblicato in: Remote Sensing, Numero 12/2, 2020, Pagina/e 314, ISSN 2072-4292
Editore: 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)

Autori: Jorge Vicent, Jochem Verrelst, Neus Sabater, Luis Alonso, Juan Pablo Rivera-Caicedo, Luca Martino, Jordi Muñoz-Marí, José Moreno
Pubblicato in: Geoscientific Model Development, Numero 13/4, 2020, Pagina/e 1945-1957, ISSN 1991-9603
Editore: Copernicus Publications on EGU
DOI: 10.5194/gmd-13-1945-2020

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

Autori: Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 92, 2020, Pagina/e 102174, ISSN 0303-2434
Editore: 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

Autori: Karlsen SR, Elvebakk A, Tømmervik H, Belda S, Stendardi L.
Pubblicato in: Remote Sensing, 2022, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14246346

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

Autori: Kohonen, K.-M., Dewar, R., Tramontana, G., Mauranen, A., Kolari, P., Kooijmans, L. M. J., Papale, D., Vesala, T., and Mammarella, I.
Pubblicato in: Biogeosciences, Numero 19(17), 2022, Pagina/e 4067–4088, ISSN 1726-4189
Editore: Copernicus Publications
DOI: 10.5194/bg-19-4067-2022

Mapping landscape canopy nitrogen content from space using PRISMA data

Autori: Verrelst, J., Rivera-Caicedo, J.P., Reyes-Muñoz, P., Morata, M., Amin, E., Tagliabue, G., Panigada, C., Hank, T., Berger, K.
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, Numero 178, 2021, ISSN 0924-2716
Editore: 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

Autori: Pablo Morcillo-Pallarés, Juan Pablo Rivera-Caicedo, Santiago Belda, Charlotte De Grave, Helena Burriel, Jose Moreno, Jochem Verrelst
Pubblicato in: Remote Sensing, Numero 11/20, 2019, Pagina/e 2418, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11202418

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

Autori: Aghababaei, M.; Ebrahimi, A.; Naghipour, A.A.; Asadi, E.; Verrelst, J.
Pubblicato in: Remote Sensing, Numero 13(22), 2021, ISSN 2072-4292
Editore: 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

Autori: Berger, K., Machwitz, M., Kycko, M., Kefauver, S. C., Van Wittenberghe, S., Gerhards, M., Verrelst, J., ... & Schlerf, M.
Pubblicato in: Remote Sensing of Environment, Numero 280, 2022, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2022.113198

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

Autori: José Estévez, Jorge Vicent, Juan Pablo Rivera-Caicedo, Pablo Morcillo-Pallarés, Francesco Vuolo, Neus Sabater, Gustau Camps-Valls, José Moreno, Jochem Verrelst
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, Numero 167, 2020, Pagina/e 289-304, ISSN 0924-2716
Editore: Elsevier BV
DOI: 10.1016/j.isprsjprs.2020.07.004

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

Autori: Katja Berger, Juan Pablo Rivera Caicedo, Luca Martino, Matthias Wocher, Tobias Hank, Jochem Verrelst
Pubblicato in: Remote Sensing, Numero 13/2, 2021, Pagina/e 287, ISSN 2072-4292
Editore: 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

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

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

Autori: Morata, M., Siegmann, B., Morcillo-Pallarés, P., Rivera-Caicedo, J.P,; Verrelst, J.
Pubblicato in: Remote Sensing, Numero 13(21), 2021, ISSN 2072-4292
Editore: 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

Autori: Jochem Verrelst, Jorge Vicent, Juan Pablo Rivera-Caicedo, Maria Lumbierres, Pablo Morcillo-Pallarés, José Moreno
Pubblicato in: Remote Sensing, Numero 11/16, 2019, Pagina/e 1923, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11161923

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

Autori: Perich, G., Aasen, H., Verrelst, J., Argento, F., Walter, A., Liebisch, F.
Pubblicato in: Remote Sensing, Numero 13(12), 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13122404

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

Autori: Gianluca Tramontana, Mirco Migliavacca, Martin Jung, Markus Reichstein, Trevor F. Keenan, Gustau Camps‐Valls, Jerome Ogee, Jochem Verrelst, Dario Papale
Pubblicato in: Global Change Biology, Numero 26/9, 2020, Pagina/e 5235-5253, ISSN 1354-1013
Editore: Blackwell Publishing Inc.
DOI: 10.1111/gcb.15203

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

Autori: Nima Ahmadian, Tobias Ullmann, Jochem Verrelst, Erik Borg, Reinhard Zölitz, Christopher Conrad
Pubblicato in: PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Numero 87/4, 2019, Pagina/e 159-175, ISSN 2512-2789
Editore: Springer
DOI: 10.1007/s41064-019-00076-x

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

Autori: Luca Pipia, Eatidal Amin, Santiago Belda, Matías Salinero-Delgado, Jochem Verrelst
Pubblicato in: Remote Sensing, Numero 13/3, 2021, Pagina/e 403, ISSN 2072-4292
Editore: 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

Autori: Charlotte De Grave, Jochem Verrelst, Pablo Morcillo-Pallarés, Luca Pipia, Juan Pablo Rivera-Caicedo, Eatidal Amin, Santiago Belda, José Moreno
Pubblicato in: Remote Sensing of Environment, Numero 251, 2020, Pagina/e 112101, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2020.112101

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression

Autori: Salinero-Delgado, M., Estévez, J., Pipia, L., Belda, S., Berger, K., Paredes Gómez, V., Verrelst, J.
Pubblicato in: Remote Sensing, Numero 14(1), 2022, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14010146

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

Autori: Santiago Belda, Luca Pipia, Pablo Morcillo-Pallarés, Jochem Verrelst
Pubblicato in: Agronomy, Numero 10/5, 2020, Pagina/e 618, ISSN 2073-4395
Editore: 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

Autori: Mohsen Mirzaei, Jochem Verrelst, Mohsen Arbabi, Zohreh Shaklabadi, Masoud Lotfizadeh
Pubblicato in: Remote Sensing, Numero 12/8, 2020, Pagina/e 1350, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12081350

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

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

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

Autori: Gao, L., Darvishzadeh, R., Somers, B., Johnson, B. A., Wang, Y., Verrelst, J., Wang, X., Atzberger, C.
Pubblicato in: Agricultural and Forest Meteorology, 2022, ISSN 0168-1923
Editore: 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

Autori: Sanjiv K. Sinha, Hitendra Padalia, Anindita Dasgupta, Jochem Verrelst, Juan Pablo Rivera
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 86, 2020, Pagina/e 102027, ISSN 0303-2434
Editore: 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

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

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

Autori: 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
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, Numero 187, 2022, ISSN 0924-2716
Editore: Elsevier BV
DOI: 10.1016/j.isprsjprs.2022.03.014

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

Autori: Jochem Verrelst, Katja Berger, Juan Pablo Rivera-Caicedo
Pubblicato in: IEEE Geoscience and Remote Sensing Letters, 2020, Pagina/e 1-5, ISSN 1545-598X
Editore: 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

Autori: Mohammad Hajeb, Saeid Hamzeh, Seyed Kazem Alavipanah, Lamya Neissi, Jochem Verrelst
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation,, Numero 116, 2023, ISSN 1569-8432
Editore: Elsevier BV
DOI: 10.1016/j.jag.2022.103168

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

Autori: Sadegh Modiri, Santiago Belda, Mostafa Hoseini, Robert Heinkelmann, José M. Ferrándiz, Harald Schuh
Pubblicato in: Journal of Geodesy, Numero 94/2, 2020, ISSN 0949-7714
Editore: Springer Verlag
DOI: 10.1007/s00190-020-01354-y

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

Autori: Jochem Verrelst, Zbyněk Malenovský, Christiaan Van der Tol, Gustau Camps-Valls, Jean-Philippe Gastellu-Etchegorry, Philip Lewis, Peter North, Jose Moreno
Pubblicato in: Surveys in Geophysics, Numero 40/3, 2019, Pagina/e 589-629, ISSN 0169-3298
Editore: 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

Autori: Nieves Pasqualotto, Jesús Delegido, Shari Van Wittenberghe, Jochem Verrelst, Juan Pablo Rivera, José Moreno
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 67, 2018, Pagina/e 69-78, ISSN 0303-2434
Editore: 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

Autori: Sadegh Modiri, Santiago Belda, Robert Heinkelmann, Mostafa Hoseini, José M. Ferrándiz, Harald Schuh
Pubblicato in: Earth, Planets and Space, Numero 70/1, 2018, ISSN 1880-5981
Editore: Springer Open
DOI: 10.1186/s40623-018-0888-3

Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models

Autori: Jorge Vicent Servera, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls, Jose Moreno
Pubblicato in: IEEE Transactions on Geoscience and Remote Sensing, Numero 57/2, 2019, Pagina/e 1040-1048, ISSN 0196-2892
Editore: 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

Autori: Zbyněk Malenovský, Lucie Homolová, Petr Lukeš, Henning Buddenbaum, Jochem Verrelst, Luis Alonso, Michael E. Schaepman, Nicolas Lauret, Jean-Philippe Gastellu-Etchegorry
Pubblicato in: Surveys in Geophysics, Numero 40/3, 2019, Pagina/e 631-656, ISSN 0169-3298
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10712-019-09534-y

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

Autori: Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Neus Sabater, Jordi Munoz-Mari, Gustau Camps-Valls, Jose Moreno
Pubblicato in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numero 11/12, 2018, Pagina/e 4918-4931, ISSN 1939-1404
Editore: 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

Autori: Maria Karbon, Santiago Belda, Tobias Nilsson
Pubblicato in: Geodesy and Geodynamics, Numero 10/1, 2019, Pagina/e 58-71, ISSN 1674-9847
Editore: Elsevier
DOI: 10.1016/j.geog.2018.11.001

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

Autori: Jochem Verrelst, Juan Rivera Caicedo, Jorge Vicent, Pablo Morcillo Pallarés, José Moreno
Pubblicato in: Remote Sensing, Numero 11/2, 2019, Pagina/e 157, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11020157

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

Autori: Santiago Belda, José M. Ferrándiz, Robert Heinkelmann, Harald Schuh
Pubblicato in: Scientific Reports, Numero 8/1, 2018, ISSN 2045-2322
Editore: 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

Autori: Neus Sabater, Jorge Vicent, Luis Alonso, Jochem Verrelst, Elizabeth Middleton, Albert Porcar-Castell, José Moreno
Pubblicato in: Remote Sensing, Numero 10/10, 2018, Pagina/e 1551, ISSN 2072-4292
Editore: 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

Autori: 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
Pubblicato in: Remote Sensing of Environment, Numero 231, 2019, Pagina/e 111272, ISSN 0034-4257
Editore: 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

Autori: Mohsen Mirzaei, Safar Marofi, Mozhgan Abbasi, Eisa Solgi, Rholah Karimi, Jochem Verrelst
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 80, 2019, Pagina/e 26-37, ISSN 0303-2434
Editore: 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

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

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

Autori: Eatidal Amin, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Luca Pipia, Antonio Ruiz-Verdú, José Moreno
Pubblicato in: Remote Sensing of Environment, 2020, Pagina/e 112168, ISSN 0034-4257
Editore: 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

Autori: Casella, A., Orden, L., Pezzola, N.A., Bellaccomo, C., Winschel, C.I., Caballero, G.R., Delegido, J., Gracia, L.M.N., Verrelst, J.
Pubblicato in: Agronomy, Numero 12(8), 2022, ISSN 2072-4292
Editore: 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

Autori: Sajad Khoshnoodmotlagh, Jochem Verrelst, Alireza Daneshi, Mohsen Mirzaei, Hossein Azadi, Mohammad Haghighi, Masoud Hatamimanesh, Safar Marofi
Pubblicato in: Remote Sensing, Numero 12/20, 2020, Pagina/e 3329, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12203329

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

Autori: Chakhvashvili, E., Siegmann, B., Muller, O., Verrelst, J., Bendig, J., Kraska, T., Rascher, U.
Pubblicato in: Remote Sensing, Numero 14(5), 2022, ISSN 2072-4292
Editore: 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

Autori: Modiri, S., Heinkelmann, R., Belda, S., Malkin, Z., Hoseini, M., Korte, M., Ferrándiz, J.M., Schuh, H.
Pubblicato in: Sensors, Numero 21(22), 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21227555

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

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

Denoising AVIRIS-NG data for generation of new chlorophyll indices

Autori: Prachi Singh, Prashant K. Srivastava, Ramandeep Kaur M. Malhi, Sumit K. Chaudhary, Jochem Verrelst, Bimal K Bhattacharya, A S Raghubanshi
Pubblicato in: IEEE Sensors Journal, 2021, Pagina/e 1-1, ISSN 1530-437X
Editore: 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

Autori: Reyes-Muñoz, P., Pipia, L., Salinero-Delgado, M., Belda, S., Berger, K., Estévez, J., Morata, M., Rivera-Caicedo, J.P., Verrelst, J.
Pubblicato in: Remote Sensing, Numero 14(6), 2022, ISSN 2072-4292
Editore: 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

Autori: Lin Gao, Xiaofei Wang, Brian Alan Johnson, Qingjiu Tian, Yu Wang, Jochem Verrelst, Xihan Mu, Xingfa Gu
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, Numero 159, 2020, Pagina/e 364-377, ISSN 0924-2716
Editore: Elsevier BV
DOI: 10.1016/j.isprsjprs.2019.11.018

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

Autori: P. Singh, P.K. Srivastava, D. Shah, M. K. Pandey, A. Anand, R. Prasad, R. Dave, J. Verrelst, B.K. Bhattacharya, A.S. Raghubanshi
Pubblicato in: Advances in Space Research, 2022, ISSN 0273-1177
Editore: 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

Autori: Khoshnoodmotlagh, S., Daneshi, A., Gharari, S., Verrelst, J., Mirzaei, M., Omrani, H.
Pubblicato in: Sustainable Cities and Society, Numero 74, 2021, ISSN 2210-6707
Editore: Elsevier BV
DOI: 10.1016/j.scs.2021.103228

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

Autori: M. Ranghetti, M. Boschetti, L. Ranghetti, G. Tagliabue, C. Panigada, M. Gianinetto, J. Verrelst, G.Candian
Pubblicato in: European Journal of Remote Sensing, 2022, ISSN 2279-7254
Editore: 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

Autori: Grave, C.D., Pipia, L., Siegmann, B., Morcillo-Pallarés, P., Rivera-Caicedo, J.P., Moreno, J., Verrelst, J.
Pubblicato in: Remote Sensing, Numero 13/8, 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13081419

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

Autori: Mohsen Mirzaei, Jochem Verrelst, Alireza Riyahi Bakhtiari, Safar Marofi
Pubblicato in: Environmental Science and Pollution Research, 2020, ISSN 0944-1344
Editore: Springer Verlag
DOI: 10.1007/s11356-020-11129-9

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

Autori: Luca Pipia, Jordi Muñoz-Marí, Eatidal Amin, Santiago Belda, Gustau Camps-Valls, Jochem Verrelst
Pubblicato in: Remote Sensing of Environment, Numero 235, 2019, Pagina/e 111452, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2019.111452

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

Autori: Abdelbaki, A., Schlerf, M., Retzlaff, R., Machwitz, M,. Verrelst, J., Udelhoven, T.
Pubblicato in: Remote Sensing, Numero 13(9), 2021, ISSN 2072-4292
Editore: 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

Autori: José Manuel Fernández-Guisuraga, Jochem Verrelst, Leonor Calvo, Susana Suárez-Seoane
Pubblicato in: Remote Sensing of Environment, Numero 255, 2021, Pagina/e 112304, ISSN 0034-4257
Editore: 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

Autori: Estévez, J., Berger, K., Vicent, J., Rivera-Caicedo. J.P., Wocher, M., Verrelst, J.
Pubblicato in: Remote Sensing, Numero 13/8, 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13081589

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

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

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