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Remote Sensing

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Remote Sensing

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Agricultural and Forest Meteorology

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ISPRS Journal of Photogrammetry and Remote Sensing

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Remote Sensing

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(Open Access)

Biogeosciences

In Journal

(Open Access)

Remote Sensing

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(Open Access)

European Journal of Remote Sensing

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Advances in Space Research

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Grave, C.D., Pipia, L., Siegmann, B., Morcillo-Pallarés, P., Rivera-Caicedo, J.P.; Moreno, J., Verrelst, J. 

In Journal

(Open Access)

Fernández-Guisuraga, J. M., Verrelst, J., Calvo, L., & Suárez-Seoane, S.

In Journal

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(Open Access)

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

In Journal

In Server

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

Verrelst, J., Berger, K., Rivera-Caicedo, J. P.

IEEE Geoscience and Remote Sensing Letters

In Journal

In Server

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

Estévez, J., Rivera-Caicedo, J. P., Morcillo-Pallarés, P., Vuolo, F., Sabater, N., Camps‐Valls, G., Moreno, J., Verrelst, J.

ISPRS Journal of Photogrammetry and Remote Sensing

In Journal

In Server

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

Tramontana, G., Migliavacca, M., Jung, M., Reichstein, M., Keenan, T. F., Camps‐Valls, G., Ogee, J., Verrelst, J., Papale, D.

Global Change Biology

In Journal

In Server

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

International Journal of Applied Earth Observation and Geoinformation

In Journal

In Server

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

Remote Sensing

In Journal

(Open Access)

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

Belda, S., Pipia, L., Morcillo-Pallarés, P., Verrelst, J.

Agronomy

In Journal

(Open Access)

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

Berger, K., Verrelst, J., Féret, J.P., Wang, Z., Wocher, M., Srathmann, M., Danner, M., Mauser, W., Hank, T.

Remote Sensing of Environment

In Journal

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Belda, S., Pipia, L., Morcillo-Pallarés, P., Rivera-Caicedo, J. P., Amin, E., de Grave, C., Verrelst, J.

Environmental Modelling & Software

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Brede, B., Verrelst, J., Gasetllu-Etchegorry, J.P., Clevers, J.G.P.W., Goudzwaard, L., den Ouden, J., Verbesselt, J., Herold, J.

Remote Sensing

In Journal (Open Access)

Modiri, S., Belda, S., Hoseini, M., Heinkelmann, R., Ferrándiz, J.M., Schuh, H.

Journal of Geodesy

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

Remote Sensing

Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

Remote Sensing

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

ISPRS Journal of Photogrammetry and Remote Sensing

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

International Journal of Applied Earth Observation and Geoinformation

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

Pipia, L., Muñoz-Marí, J., Amin, E., Belda, S., Camps-Valls, G., Verrelst, J.

In Journal

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

Morcillo-Pallarés, P., Rivera-Caicedo, J.P., Belda, S., De Grave, C., Burriel, H., Moreno, J., Verrelst, J.

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

Vicent, J., Verrelst, J., Sabater, N., Alonso, L., Rivera-Caicedo, J.P., Martino, L., Muñoz-Marí, J., Moreno, J.

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

Remote Sensing

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

In Journal

In Server

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

In Journal

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In Journal

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Remote Sensing

Geodesy and Geodynamics

In Journal

In Server 

Vicent, J., Verrelst, J., Rivera, J. P., Sabater, N., Muñoz-Marí, J., Camps-Valls, G., Moreno, J.

In Journal

In Server

Sabater, N., Vicent, J., Alonso, L., Verrelst, J., Middleton, E.M., Porcar-Castell, A., Moreno, J.

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

Belda, S., Ferrándiz, J.M., Heinkelmann, R., Schuh, H.

Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models

In Journal

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

Modiri, S., Belda, S., Heinkelmann, R., Hoseini, M., Ferrándiz, J.M., Schuh, H.

In Journal (Open Access)

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

In Journal

In Server

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

In Journal

In Server

Paving the Road to Flex and Biomass: The Land Surface Carbon Constellation Study

Rodriguez-Fernandez N.; Barbier M.; Verrelst J.; Lindqvist H.; Bueechi E.; Munoz, P. Reyes; Mialon A.; Vreugdenhil M.; Dorigo W.; Bouvet A.; Kerr Y.; Vossbeck M.
Kaminski T.; Scholze M.

LAI and Leaf Chlorophyll Content Retrieval Under Changing Spatial Scale Using a UAV-Mounted Multispectral Camera

Chakhvashvili, E.; Bendig, J.; Siegmann, B.; Muller, O.; Verrelst, J.; Roscher, U.

Emulation of Synthetic Hyperspectral Sentinel-2-Like Reflectance Images Using Neural Networks

Morata, M.; Siegmann, B.; Perez-Suay, A.; Rivera-Caicedo, J.P.; Verrelst, J.

Multiscale photosynthesis productivity estimation from Sentinel satellites

P. Reyes Muñoz; K. Berger; J.P. Rivera Caicedo; J. Verrelst

Intercomparison of OLCI’s essential vegetation variables retrieved with Gaussian Processes using Google Earth Engine

D. Kovács; P.Reyes Muñoz; M.Salinero Delgado; S. Belda; K.Berger; J. Verrelst

Recent progress and challenges in the quantification of nonphotosynthetic vegetation biomass from spaceborne imaging spectroscopy data

K. Berger; C. Atzberger; A. Halabuk; T. Hank; J. P. Rivera Caicedo;
Jon Pierre; M. Wocher; M. Mojses; K. Gerhátová; M. Morata; A.B.
Pascual Venteo; P. Reyes Munoz; J. Verrelst

Assessment of hybrid models developed for the retrieval of vegetation traits from CHIME L2A data

J. Verrelst; J.L. García Soria; J.P.  Rivera-Caicedo; K. Berger, G. Candiani; C. Panigada; G.Tagliabue & co-authors

Emulation of Solar-Induced Fluorescence from spacebornePRISMA imagery using Neural Networks

M. Morata; B.Siegmann; A.Pérez; J.L. García-Soria; J.P. Rivera-Caicedo; J. Verrelst

Crop Traits Models for the upcoming CHIME mission: a validation study with PRISMA Data

A.B. Pacual-Venteo; J. Estévez; K. Berger; J.L. García-Soria; E. Portalés-Julia; A. Pérez-Suay, J. Verrelst

Within season crop phenology prediction from Sentinel 2 green LAI time series

E., Amin; S. Belda; L. Pipia; J. Verrelst

Regional to continental photosynthesis productivity
estimation from Sentinel 3 and 5P satellites

P. Reyes-Muñoz; K. Berger; D. Kovács; J.P. Rivera-Caicedo; J. Verrelst

Global maps of essential biophysical variables created with Gaussian Process Regression using Google Earth Engine

D. Kovács; P. Reyes Muñoz; M. Salinero Delgado; S. Belda, K. Berger; J. Verrelst

Estimación Del Carbono Orgánico Del Suelo Usando Datos De Teledetección Y Sig En Dos Ecosistemas Alto Andinos Del Ecuador

J. Ayala; C. Jara; P. Lozano; S. Van Wittenberghe; J. Verrelst; G.R. Caballero; J. Delegido

Quantifying vegetation variables over Europe with Sentinel-3 OLCI top-of-atmosphere radiance data using Gaussian processes regression in Google Earth Engine

Poster

Top-of-atmosphere retrieval of canopy-level crop traits in Google Earth Engine

Poster

Comparing uncertainties provided by machine learning methods for the retrieval of vegetation variables: applications for Sentinel-2

Poster

Quantifying Crop Traits From Prisma Hyperspectral Spaceborne Images

C. Panigada; G. Tagliabue; G. Bramati; G. Candiani; R. Colombo; F. Nutini; M. Pepe; V. Picchi;  J. Rivera-Caicedo; M. Rossi; M. Rossini; J. Verrelst; M. Boschetti

Poster

Paving the road to FLEX and Biomass: a multi-frequency study of the vegetation in three regions of Europe

ESA Living Planet Symposium, Bonn, Germany

Poster

Tracking cropland growth development in multi-cropping rotation systems using Sentinel-2 and Landsat 8 green LAI time series at the Nile Delta

ESA Living Planet Symposium, Bonn, Germany

Poster

Prototyping L2 vegetation traits models in support of the hyperspectral mission CHIM

Poster

Monitoring capabilities of Google Earth Engine for derivation of agricultural traits and land surface phenology

Poster

Potential Impacts of Radiometric Uncertainty on the Estimation of Land Surface Phenology Metrics

Poster

 Mapping canopy-level crop traits using top-of-atmosphere sentinel-2 data in google earth engine

Extended abstract

Presentation

Quantifying canopy nitrogen content and non-photosynthetic vegetation using hyperspectral PRISMA data in preparation for the upcoming Copernicus Hyperspectral Imaging Mission for the Environment (CHIME)

Emulation of Sun-Induced Fluoresecence from radiance data recorded by the HyPlant airborne imaging spectrometer

M. Morata, B. Siegmann, P. Morcillo Pallarés, J.P. Rivera Caicedo, J.Verrelst

Large-scale machine learning techniques for vegetation variables estimation

A.B. Pascual-Venteo, E. Portalés-Julià, A. Pérez-Suay, J. Verrelst

Hybrid modelling of canopy biochemical traits using DESIS imagery

B. Pascual-Venteo, J. Verrelst, A. Halabuk, T. Hank, K. Gerhátová, M. Zivak, E. Portales, K. Berger

Towards quantifying non-photosynthetic vegetation for agriculture using spaceborne imaging spectroscopy

Crop phenology retrieval through Gaussian process regression

Paper

Mapping essential vegetation variables over Europe using Gaussian process regression and Aentinel-3 data in Google Earth Engine

Paper

First results of hyperspectral scene generation in preparation of the CHIME imaging spectrometer mission

Paper

Paper

Presentation

M. Morata, B. Siegmann, P. Morcillo-Pallarés, J.P. Rivera-Caicedo and J.Verrelst

Paper

Presentation

Siegmann,J. Bendig, M. Celesti, E. Chakhvashvili, D. Herrera, L. V. Junker-Frohn, O. Knopf, T. Kraska, O. Muller, N. Müller,P. Rademske, J. Verrelst and U. Rascher

Verrelst, J., Rivera, J.P., Morata, M., Estévez, J., Salinero, M., Reyes, P., Portales, E., Pasqual, A.B., Vicent, J., Belda, S., Siegmann, B., Berger, K. and colleagues

Belda, S., Salinero, M., Amin, E., Pipia, L., Morcillo-Pallarés, P. and Verrelst, J.

Portalés, E., Verrelst, J., De Grave, C., Amin, E., Reyes, P., Morata, M., Berger, K., and Tagliabue, G.

ESA Φ-WEEK 2020 Virtual Event 28 September - 02 October 2020

Video

ESA Φ-WEEK 2020 Virtual Event 28 September - 02 October 2020

Video

ESA Φ-WEEK 2020 Virtual Event 28 September - 02 October 2020

Video

ESA Φ-WEEK 2020 Virtual Event 28 September - 02 October 2020

Video

Using different retrieval methods for evaluating retrieval performance
based on UAV - hyperspectral data

Abdelbaki, A., Schlerf, M., Verrelst, J., Udelhoven, T.

EGU 2020

Poster

A machine learning software framework for extraction of phenology indicators from multi-temporal sentinel-2 images

Arezki, D., Fizazi, H., Belda, S., De Grave, C., Pipia, L., Verrelst, J.

EGU 2020

Poster

Comparative analysis of atmospheric RTMs using the Atmospheric Look-up table Generator (ALG) toolbox

Vicent, J., Sabater, N., Alonso, L., Verrelst, J., Martino, L., Berthelot, B., Moreno, J.

Atelier TRATTORIA 2020, Toulouse, France

Poster

Exploring continuous time series of vegetation hyperspectral reflectance and solar-induced fluorescence through radiative transfer model inversion.

Celesti, M., Biriukova, K., Campbell, P. K., Cesana, I., Cogliati, S., Damm, A., Drusch, M., Julitta, T.,Middleton, E. , Migliavacca, Miglietta, F., Panigada, C., Rascher, U., Rossini, M., Schuettemeyer, D., Tagliabue, G., van der Tol, C., Verrelst, J., Yang, P., Colombo, R.

AGU Fall Meeting 2019. AGU.

Poster

Boschetti, M., Candiani, G., Tagliabue, G., El Khair, D. A., Moia, F., Verrelst, J.,Rasher, U., Colombo, R., Miglietta F., Panigada, C.

AGU Fall Meeting 2019. AGU.

Poster

Physically Based, Machine Learning and Hybrid Approaches for Improved Plant Traits Retrievals from Future CHIME Hyperspectral Imagery

Candiani, G., Tagliabue, G., Boschetti, M., Verrelst, J., Colombo, R., Rascher, U., Tramaelli, A., Rossini, M., Panigada, C.

AGU Fall Meeting 2019. AGU.

Progress in emulation: blending physical models with machine learning for fast vegetation properties mapping

Verrelst, J., Rivera Caicedo, J.P., Morcillo, P., Pipia, L., Damm, A.

ISPRS Geospatial Conference 2019, 12-14 October, University of Tehran, Karaj, Iran

Opportunities & Limitations of Crop Nitrogen Content Retrieval from Future Imaging Spectroscopy Data

WHISPERS and SWIIMS workshops, Amsterdam September 24-26

Emulation for Approximating Radiative Transfer Modeling: Computational Efficiency and Sensitivity Analysis

Verrelst, J., Johnson, E., Morcillo Pallarés, P., Vicent, J., Rivera-Caicedo, J.P., Camps-Valls, G.

ESA's Phi-week, 9-13 September, 2019, Frascati, Italy.

DATimeS, a new and effective toolbox for land management

2019 Living Planet Symposium, 13-17 May 2019, Milan, Italy

2019 Living Planet Symposium, 13-17 May 2019, Milan, Italy

2019 Living Planet Symposium, 13-17 May 2019, Milan, Italy

The S3 SYN product for biophysical variables retrieval: an assessment

The Fifth Sentinel-3 Validation Team Meeting 2019, 7-9 May 2019 - ESA/ESRIN, Frascati, Italy

Tramontana, G., Jung, M., Keenan, T., Migliavacca, M., Reichstein, M., Ogee, J., Camps-Valls, G., Papale, D.

DATimeS, a new and effective toolbox for land management

FLUORT: a GUI FLUOresence Retrieval Toolbox for automating and optimizing sun-induced chlorophyll fluorescence retrieval from spectroscopy data.

Quantifying the robustness of vegetation indices through ARTMO's Global Sensitivity Analysis (GSA) toolbox.

TOC2TOA: An ARTMO Toolbox to Simulate Top-Of-Atmosphere Radiance Data for Imaging Spectroscopy Applications

Approximating experimental vegetation spectroscopy data through emulation

Progress in emulation for radiative transfer modeling and mapping

IGARSS2018, 22-27 July, Valencia, Spain.

Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring

Pipia, L., Belda, S., Franch, B., Verrelst, J.

In: Bochtis, D.D., Lampridi, M., Petropoulos, G.P., Ampatzidis, Y., Pardalos, P. (eds) Information and Communication Technologies for Agriculture—Theme I: Sensors. Springer Optimization and Its Applications, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-030-84144-7_8

Chapter 2.13 - Statistical biophysical parameter retrieval and emulation with Gaussian processes

Camps-Valls, G., Gómez-Chova, L., Laparra, V., Martino, L., Mateo-García, G., Muñoz-Marí, J., Svendsen, D.H., Verrelst, J.

Data Handling in Science and Technology - Part of volume 32: Hyperspectral Imaging - ScienceDirect

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

Malenovský, Z., Homolová, L., Lukeš, P., Buddenbaum, H., Verrelst, J., Alonso, L., Schaepman, M.E., Lauret, N., Gastellu-Etchegorry, J.P.

Förster, S., Guanter, L., Lopez, T., Moreno, J., Rast, M., Schaepman, M. E.(Eds.) (2019): Exploring the Earth System with Imaging Spectroscopy, (Space Sciences Series of ISSI; 70),Cham : Springer International Publishing, 391 p.

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

Verrelst, J., Malenovský, Z., Van der Tol, C., Camps-Valls, G., Gastellu-Etchegorry, J.P., Lewis, P., North, P., Moreno, J.

Förster, S., Guanter, L., Lopez, T., Moreno, J., Rast, M., Schaepman, M. E.(Eds.) (2019): Exploring the Earth System with Imaging Spectroscopy, (Space Sciences Series of ISSI; 70),Cham : Springer International Publishing, 391 p.