Scientific Journals Papers

 

# YEAR TITLE AUTHORS JOURNAL DOI
77 2023 Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network M. Hajeb; S. Hamzeh; S.K. Alavipanah; L. Neissi; J. Verrelst, International Journal of Applied Earth Observation and Geoinformation

In Journal

(Open Access)

 76  2022 Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-like Imagery with Uncertainty M. Morata; B. Siegmann; A. Pérez-Suay; J. L. García-Soria; J. P. Rivera-Caicedo; J. Verrelst IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  

In Journal

In Server

75 2022 Changes in Onset of Vegetation Growth on Svalbard, 2000–2020 Karlsen, S.R.; Elvebakk, A.; Tømmervik, H.; Belda, S.; Stendardi, L. 

Remote Sensing

In Journal

(Open Access)

74 2022 Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles Caballero, G.; Pezzola, A.; Winschel, C.; Casella, A.; Angonova, P.S.; Orden, L.; Berger, K.; Verrelst, J.; Delegido, J. 

Remote Sensing

In Journal

(Open Access)

73 2022 Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment L. Gao, R. Darvishzadeh, B. Somers, B. Alan Johnson, Y. Wang, J. Verrelst, X.Wang, C.Atzberger

Agricultural and Forest Meteorology

In Journal

In Server

72 2022 Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas M.Wocher; K. Berger; J.Verrelst; T.Hank

ISPRS Journal of Photogrammetry and Remote Sensing

In Journal

In Server

 71  2022 Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery Caballero, G.; Pezzola, A.; Winschel, C.; Casella, A.; Sanchez Angonova, P.; Rivera-Caicedo, J.P.; Berger, K.; Verrelst, J.; Delegido, J.

Remote Sensing

In Journal

(Open Access)

70 2022 Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements Kohonen, K.-M., Dewar, R., Tramontana, G., Mauranen, A., Kolari, P., Kooijmans, L. M. J., Papale, D., Vesala, T., and Mammarella, I.

Biogeosciences

In Journal

(Open Access)

69 2022 Introducing ARTMO’s Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape Aghababaei, M.; Ebrahimi, A.; Naghipour, A.A.; Asadi, E.; Pérez-Suay, A.; Morata, M.; Garcia, J.L.; Rivera Caicedo, J.P.; Verrelst, J. 

Remote Sensing

In Journal

(Open Access)

68 2022 Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling M. Ranghetti, M. Boschetti, L. Ranghetti, G. Tagliabue, C. Panigada, M. Gianinetto, J. Verrelst, G.Candiani 

European Journal of Remote Sensing

In Journal

In Server

67 2022 Crop type discrimination using Geo-Stat Endmember Extraction and machine learning algorithms P. Singh, P.K. Srivastava, D. Shah, M. K. Pandey, A. Anand, R. Prasad, R. Dave, J. Verrelst, B.K. Bhattacharya, A.S. Raghubanshi

Advances in Space Research

In Journal

66 2022 Analysis of Biophysical Variables in an Onion Crop (Allium cepa L.) with Nitrogen Fertilization by Sentinel-2 Observations Casella, A.; Orden, L.; Pezzola, N.A.; Bellaccomo, C.; Winschel, C.I.; Caballero, G.R.; Delegido, J.; Gracia, L.M.N.; Verrelst, J.  Agronomy

In Journal

(Open Access)

 65  2022 Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review Berger, K., Machwitz, M., Kycko, M., Kefauver, S. C., Van Wittenberghe, S., Gerhards, M., Verrelst, J., ... & Schlerf, M. Remote Sensing of Environment

In Journal

In Server

64 2022 Improving the remote estimation of soil organic carbon in complex ecosystems with Sentinel-2 and GIS using Gaussian processes regression  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. Plant Soil 

In Journal

In Server

63 2022 Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data Pascual-Venteo, A.B.; Portalés, E.; Berger, K.; Tagliabue, G.; Garcia, J.L.; Pérez-Suay, A.; Rivera-Caicedo, J.P.; Verrelst, J. Remote Sensing

In Journal

(Open Access)

62 2022 Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning V. Döpper, A. D. Rocha, K. Berger, T. Gränzig, J. Verrelst, B. Kleinschmit, M. Förster International Journal of Applied Earth Observation and Geoinformation

In Journal

In Server

61 2022 Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI Amin, E.; Belda, S.; Pipia, L.; Szantoi, Z.; El Baroudy, A.; Moreno, J.; Verrelst, J.  Remote Sensing

In Journal

(Open Access)

60 2022 Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission Candiani, G.; Tagliabue, G.; Panigada, C.; Verrelst, J.; Picchi, V.; Rivera Caicedo, J.P.; Boschetti, M.  Remote Sensing

In Journal

(Open Access)

59 2022 Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery 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 ISPRS Journal of Photogrammetry and Remote Sensing

In Journal

In Server

58 2022 Quantifying mangrove leaf area index from Sentinel-2 imagery using hybrid models and active learning N. Binh; L. Hauser; P. Hoa; G. Thao; N. An; H. N. hut; T. Phuong; J. Verrelst International Journal of Remote Sensing In Journal

In Server

57 2022 Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine Reyes-Muñoz, P.; Pipia, L.; Salinero-Delgado, M.; Belda, S.; Berger, K.; Estévez, J.; Morata, M.; Rivera-Caicedo, J.P.; Verrelst, J. Remote Sensing

In Journal

(Open Access)

56 2022 Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data J. Estévez; M. Salinero-Delgado; K. Berger; L. Pipia; J.P. Rivera-Caicedo;M. Wocher; P. Reyes-Muñoz; G. Tagliabue; M. Boschetti; J. Verrelst Remote Sensing of Environment

In Journal

(Open Access)

55 2022 Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy Chakhvashvili, E.; Siegmann, B.; Muller, O.; Verrelst, J.; Bendig, J.; Kraska, T.; Rascher, U.  Remote Sensing

In Journal

(Open Access)

54 2022 Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression Salinero-Delgado, M.; Estévez, J.; Pipia, L.; Belda, S.; Berger, K.; Paredes Gómez, V.; Verrelst, J.    Remote Sensing

In Journal

(Open Access)

53 2021 Towards Understanding the Interconnection between Celestial Pole Motion and Earth’s Magnetic Field Using Space Geodetic Techniques Modiri, S.; Heinkelmann, R.; Belda, S.; Malkin, Z.; Hoseini, M.; Korte, M.; Ferrándiz, J.M.; Schuh, H. Sensors

In Journal

(Open Access)

52 2021 Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery 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.  Remote Sensing

In Journal

(Open Access)

51 2021 Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform Aghababaei, M.; Ebrahimi, A.; Naghipour, A.A.; Asadi, E.; Verrelst, J.  Remote Sensing

In Journal

(Open Access)

50 2021 Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer. Morata, M.; Siegmann, B.; Morcillo-Pallarés, P.; Rivera-Caicedo, J.P.; Verrelst, J.  Remote Sensing

In Journal

(Open Access)

49 2021 Urban morphology detection and it’s linking with land surface temperature: A case study for Tehran Metropolis, Iran Khoshnoodmotlagh, S., Daneshi, A., Gharari, S., Verrelst, J., Mirzaei, M., Omrani, H.  Sustainable Cities and Society

In Journal

In Server

48  2021 Classification of Plant Ecological Units in Heterogeneous Semi-Steppe Rangelands: Performance Assessment of Four Classification Algorithms Aghababaei, M., Ebrahimi, A., Naghipour, A.A., Asadi, E., Verrelst, J.  Remote Sensing

In Journal

(Open Access)

47 2021 Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression Adeluyi, O., Harris, A., Verrelst, J., Foster, D., Clay, G.D. International Journal of Applied Earth Observations and Geoinformation

In Journal

In Server

46 2021 Mapping landscape canopy nitrogen content from space using PRISMA data  Verrelst, J., Rivera-Caicedo, J.P., Reyes-Muñoz, P., Morata, M., Amin, E., Tagliabue, G., Panigada, C., Hank, T., Berger, K. ISPRS Journal of Photogrammetry and Remote Sensing

In Journal

In Server

45 2021 Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data Perich, G.; Aasen, H.; Verrelst, J.; Argento, F.; Walter, A.; Liebisch, F.  Remote Sensing

In Journal

(Open Access)

44 2021 Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging Abdelbaki, A., Schlerf, M., Retzlaff, R., Machwitz, M,. Verrelst, J., Udelhoven, T. Remote Sensing

In Journal

(Open Access)

43 2021 Systematic Assessment of MODTRAN Emulators for Atmospheric Correction Vicent, J., Rivera-Caicedo, J.P., Verrelst, J., Muñoz-Marí, J., Sabater, N. , Berthelot, B., Camps-Valls, G., Moreno, J. IEEE Transactions on Geoscience and Remote Sensing

In Journal

In Server

42 2021 Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow Estévez, J., Berger, K., Vicent, J., Rivera-Caicedo. J.P., Wocher, M., Verrelst, J.  Remote Sensing

In Journal

(Open Access)

41 2021 Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor

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

Remote Sensing

In Journal

(Open Access)

40 2021 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. 

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

Remote Sensing of Environment  

In Journal

In Server

39 2021 Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine Pipia, L., Amin, E., Belda, S., Salinero-Delgado, M., Verrelst, J.   Remote Sensing  In Journal

(Open Access)

38 2021 A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data Berger, K., Rivera Caicedo, J.P., Martino, L., Wocher, M., Hank, T., Verrelst, J.  Remote Sensing

In Journal

(Open Access)

37 2020 Denoising AVIRIS-NG data for generation of new chlorophyll indices Singh, P., Srivastava, P.K., Malhi, R.K.M., Chaudhary, S.K., Verrelst, J., Bhattacharya, B.K., Raghubanshi, A.S. IEEE Sensors Journal

In Journal

In Server

36 2020 Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring Amin, E., Verrelst, J., Rivera-Caicedo, J.P., Pipia, L., Ruiz-Verdú, A., Moreno, J. Remote Sensing of Environment

In Journal

(Open Access)

35 2020 Potential use of grapevine cv Askari for heavy metal phytoremediation purposes at greenhouse scale Mirzaei, M., Verrelst, J., Riyahi Bakhtiari, A., Marofi, S. Environmental Science and Pollution Research

In Journal

In Server

34 2020 Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction Khoshnoodmotlagh, S., Verrelst, J., Daneshi, A., Mirzaei, M., Azadi, H., Haghighi, M., Hatamimanesh, M., Marofi, S. Remote Sensing

In Journal

(Open Access)

33 2020

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

De Grave, C., Verrelst, J., Morcillo-Pallarés, P., Pipia, L., Rivera-Caicedo, J.P., Amin, E., Belda, S., Moreno, J. Remote Sensing of Environment

In Journal

In Server

 
32 2020

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

31 2020

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

30 2020

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

29 2020

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

Berger, K., Verrelst, J., Féret, J.B., Hank, T., Wocher, M., Mauser, W., Camps-Valls, G.

International Journal of Applied Earth Observation and Geoinformation

In Journal

In Server

28 2020

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

Mirzaei, M., Verrelst, J., Arbabi, M., Shaklabadi, Z., & Lotfizadeh, M.

Remote Sensing

In Journal

(Open Access)

27 2020

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)

26 2020

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

In Server

25 2020 DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection. 

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

Environmental Modelling & Software

In Journal

In Server

24 2020 Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI

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)

23 2020 A new hybrid method to improve the ultra-short-term prediction of LOD

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

Journal of Geodesy

In Journal

In Server

22 2020

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

Ferrándiz,  J.M., Modiri, S., Belda, S., Barkin, M., Bloßfeld, Mathis and Heinkelmann, Robert and Schuh, Harald

Remote Sensing

In Journal (Open Access)
21 2020

Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

Abbasi, M., Verrelst, J., Mirzaei, M., Marofi, S., Riyahi Bakhtiari, H.R. 

Remote Sensing

In Journal (Open Access)

20 2019

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

Gao, L., Wang, X., Johnson, B.A., Tian, Q.,Wang, Y., Verrelst, J., Mu, X., Gu, X.

ISPRS Journal of Photogrammetry and Remote Sensing

In Journal

In Server

19 2019

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

Sinha, S.K., Padalia, H., Dasgupta, A., Verrelst, J., Rivera, J.P.

International Journal of Applied Earth Observation and Geoinformation

In Journal

In Server

18 2019

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

Mirzaei, M, Verrelst, J., Marofi, S., Abbasi, M., Azadi, H.
Remote Sensing In Journal (Open Access)
17 2019 Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

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

Remote Sensing of Environment

In Journal

In Server

 
16 2019

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.

Remote Sensing In Journal (Open Access)
15 2019

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.

Geoscientific Model Development In Journal (Open Access)
14 2019 Biomass Assessment of Agricultural Crops Using Multi-temporal Dual-Polarimetric TerraSAR-X Data: A Case Study on Northeast Germany Ahmadian, N., Ullmann, T., Verrelst, J., Borg, E., Zölitz, R., Conrad, C.
PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science In Journal 
13 2019

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

Verrelst, J., Vicent, J., Rivera-Caicedo, J. P., Lumbierres, M., Morcillo-Pallarés, P., Moreno, J.

Remote Sensing

In Journal (Open Access)
12 2019

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

Tagliabue, G., Panigada, C., Dechant, B., Baret, F., Cogliati, S., Colombo, R., Migliavacca, M., Rademske, P., Schickling, A., Schüttemeyer, D., Verrelst, J., Rascher, U., Ryu, Y., Rossini, M. Remote Sensing of Environment

In Journal

In Server

11  2019

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. Surveys in Geophysics

In Journal

In Server

10  2019 Scenario-based discrimination of common grapevine varieties using in-field hyperspectral data in the western of Iran Mirzaei, M., Marofi, S., Abbasi, M., Solgi, E., Karimi, R., Verrelst, J. International Journal of Applied Earth Observation and Geoinformation 

In Journal

In Server

9  2019 Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation Verrelst, J., Rivera Caicedo, J. P., Vicent, J., Morcillo Pallarés, P., Moreno, J.

Remote Sensing

In Journal (Open Access)
8  2018 Impact of the terrestrial reference frame on the determination of the celestial reference frame Karbon, M., Belda, S., Nilsson, T.

Geodesy and Geodynamics

In Journal

In Server 

7  2018 Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes

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

Selected Topics in Applied Earth Observations and Remote Sensing 

In Journal

In Server

6  2018 Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy-Leaving Sun-Induced Chlorophyll Fluorescence

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

Remote Sensing In Journal (Open Access)
5  2018

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

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

Scientific Reports (by Nature)
In Journal (Open Access)
4  2018

Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models

Vicent, J., Alonso, L., Martino, L., Sabater, N., Verrelst, J., Camps-Valls, G., Moreno, J.  Transactions on Geoscience and Remote Sensing

In Journal

In Server

3  2018

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.

Earth, Planets and Space

In Journal (Open Access)

2  2018

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

Pasqualotto, N., Delegido, J., Van Wittenberghe, S., Verrelst, J., Rivera, J. P., & Moreno, J. International Journal of Applied Earth Observation and Geoinformation

In Journal

In Server

1  2018

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. Surveys in Geophysics

In Journal

In Server

 

 

 Congress Contributions

# YEAR TITLE AUTHORS CONGRESS Link
83 2022

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.

IGARSS2022, 17-22 July, Kuala Lumpur, Malaysia Paper
82 2022

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.

IGARSS2022, 17-22 July, Kuala Lumpur, Malaysia Paper
81 2022

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.

IGARSS2022, 17-22 July, Kuala Lumpur, Malaysia Paper
80 2022

Multiscale photosynthesis productivity estimation from Sentinel satellites

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

4th Carbon from Space Workshop, 28-28 October, Frascati, Italy Presentation
79 2022

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

7th Sentinel-3 Validation Team Meeting 2022, 18-20 October, Frascati, Italy Presentation
78 2022

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

2nd Workshop on International Cooperation in Spaceborne Imaging Spectroscopy, 19-21 October, Frascati, Italy Presentation
77 2022

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

2nd Workshop on International Cooperation in Spaceborne Imaging Spectroscopy, 19-21 October, Frascati, Italy Presentation
76 2022

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

SENSECO final conference, 26-28 September, Izmir, Türkiye Presentation
75 2022

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

SENSECO final conference, 26-28 September, Izmir, Türkiye Poster
74 2022

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

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

SENSECO final conference, 26-28 September, Izmir, Türkiye Presentation
73 2022

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

SENSECO final conference, 26-28 September, Izmir, Türkiye Presentation
71 2022

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

Recent Advances in
Quantitative Remote Sensing (RAQRS), 19-23 September, Valencia, Spain
Poster
70 2022

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

SELPER, 26-28 October, Monterrey, Mexico Paper
69 2022 Retrieval of Carbon Content and Biomass from Hyperspectral Imagery over Cultivated Areas M. Wocher; K. Berger; J. Verrelst; T. Hank EARSeL Imaging Spectroscopy Workshop, 22-24 May, Potsdam, Germany Presentation
68 2022 Emulation of hyperspectral imagery from Sentinel 2 images using Regression Neural Networks M. Morata; B. Siegmann; A. Pérez; J. P. Rivera Caicedo; J. Verrelst EARSeL Imaging Spectroscopy Workshop, 22-24 May, Potsdam, Germany Presentation
67 2022 Comparison of Uncertainties in the Retrieval of Vegetation Traits using Machine Learning Regression Algorithms J.L. García Soria; J.P. Rivera Caicedo; A.B. Pascual; G. Tagliabue; K. Berger; J. Verrelst EARSeL Imaging Spectroscopy Workshop, 22-24 May, Potsdam, Germany Presentation
66 2022 Recent Progress And Challenges In The Derivation
Of Non photosynthetic Cropland Biomass From
Spaceborne Imaging Spectroscopy Data
K. Berger, A. Halabuk , T. Hank, J. P. Rivera Caicedo , M. Wocher , M.
Mojses , K. Gerhátová , G. Tagliabue, M. Morata, A.B. Pascual Venteo , P.
Reyes Munoz, J. Verrelst
EARSeL Imaging Spectroscopy Workshop, 22-24 May, Potsdam, Germany Presentation
65 2022 Multi sensor synergies for crop stress detection on the role of imaging spectroscopy. K. Berger; J. Verrelst; M. Machwitz; M. Schlerf & Co authors EARSeL Imaging Spectroscopy Workshop, 22-24 May, Potsdam, Germany Presentation
64 2022 Advances in Vegetation Traits Models in the Context of the Hyperspectral CHIME Mission Preparation J. Verrelst; E. Portales-Julià; E. Amin; M. Morata Dolz; P. Reyez Muñoz; A. Pascual-Venteo; J. García Soria; J. Rivera-Caicedo; G. Tagliabue; C. Panigada; M. Boschetti; G. Candiani; K. Segl; S. Guillaso; K. Berger; M. Wocher; T. Hank; C. Isola EARSeL Imaging Spectroscopy Workshop, 22-24 May, Potsdam, Germany Presentation
63 2022 Quantifying agricultural traits and land surface phenology metrics in Google Earth Engine.  M. Salinero Delgado; J.A. Estévez García; L. Pipia; S. Belda; K. Berger; V. Paredes Gómez; J. Verrelst EGU 2022 Presentation
62 2022 Monitoring vegetation traits over Europe using top-of-atmosphere Sentinel-3 data in Google Earth Engine  P. Reyes Muñoz & co-authors EGU 2022 Presentation
61 2022 Canopy nitrogen content retrieval from hyperspectral satellite data through spectral band selection with Gaussian processes A.B. Pascual-Venteo; A. Pérez-Suay; K. Berger; J. Verrelst EGU 2022 Presentation
60  2022 Land surface Carbon Constellation project T. Kaminski, W. Knorr, M. Voßbeck, M. Williams, T. Green, L. Smallman, M. Scholze, T. Quaife, T. Aalto, T. Thum, S. Zaehle, M. Schwank, M. Aurela, M. Barbier, S. Belda, A. Bouvet, E. Bueechi, W. Dorigo, T. S. El-Madany, T. Hammer, M. Honkanen, D. Houtz, F. Jonard, Y. H. Kerr, A. Kontu, J. Lemmetyinen, H. Lindqvist, A. Mialon, M. Migliavacca, L. Mösinger, S. Steele-Dunne, S. Quegan, P. Rayner, P. Reyez Muñoz, N. Rodríguez-Fernández, J. Verrelst, M. Vreugdenhil, M. Drusch, D. Schuettemeyer ESA Living Planet Symposium, Bonn, Germany Presentation
59 2022 Emulation of synthetic hyperspectral Sentinel-2-like images using Neural Networks M. Morata Dolz; A. Perez; B. Siegmann; J. Rivera-Caicedo; J. Verrelst ESA Living Planet Symposium, Bonn, Germany Poster
58 2022 Large-scale machine learning techniques for vegetation traits estimation: opportunities for the CHIME mission A.B. Pascual-Venteo; E. Portales-Julià; A. Perez; J. Verrelst ESA Living Planet Symposium, Bonn, Germany Poster
57 2022 Validation of Sentinel-2 Atmospheric Correction Using Radiative Transfer Models Emulators D. Malik; J. Rivera-Caicedo; J. Verrelst; L. Martino; G. Camps-Valls; B. Berthelot; J. Vicent Servera ESA Living Planet Symposium, Bonn, Germany Poster
56 2022 FLEX retrieval of fluorescence quantum efficiency as the essential step to quantify actual photosynthesis from space S. Van Wittenberghe; A. Pascual-Venteo; A. Perez; V. Laparra; E. Amin; C. Tenjo; L. Alonso; N. Sabater; J. Verrelst; J. Moreno ESA Living Planet Symposium, Bonn, Germany Poster
55 2022

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

P. Reyez Muñoz; L. Pipia; S. Belda Palazón; M. Salinero Delgado; J. Verrelst ESA Living Planet Symposium, Bonn, Germany

Poster

54 2022

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

J. Estévez García; K. Berger; M. Salinero Delgado; L. Pipia; J. Vicent Servera; J. Rivera-Caicedo; M. Wocher; P. Reyez Muñoz; G. Tagliabue; M. Boschetti; J. Verrelst ESA Living Planet Symposium, Bonn, Germany

Poster

53 2022

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

J. García Soria; A. Pascual-Venteo; A. Perez; J. Estévez García; J. Rivera-Caicedo; K. Berger; J. Verrelst ESA Living Planet Symposium, Bonn, Germany

Poster

52 2022

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

ESA Living Planet Symposium, Bonn, Germany

Poster

51 2022

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

N. Rodriguez; M. Barbier; A. Bouvet; E. Bueechi; W. Dorigo; M. Drusch;T. Kaminski; Y. Kerr; T. Le Toan; H. Lindqvist; A. Mialon; P. Reyez Muñoz; M. Scholze; J. Verrelst; M. Vreugdenhil

ESA Living Planet Symposium, Bonn, Germany

Poster

50 2022


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

E. Amin; S. Belda Palazón; L. Pipia; Z. Szantoi; A. El Baroudy; J. Moreno; J. Verrelst

ESA Living Planet Symposium, Bonn, Germany

 

Poster

49 2022

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

J. Verrelst; E. Portales-Julià; E. Amin; M. Morata Dolz; P. Reyez Muñoz; A. Pascual-Venteo; J. García Soria; J. Rivera-Caicedo; G. Tagliabue; C. Panigada; M. Boschetti; G. Candiani; K. Segl; S. Guillaso; K. Berger; M. Wocher; T. Hank; C. Isola ESA Living Planet Symposium, Bonn, Germany

Poster

48 2022

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

M. Salinero Delgado; J.A. Estévez García; L. Pipia; S. Belda; K. Berger; V.Paredes Gómez; J. Verrelst ESA Living Planet Symposium, Bonn, Germany

Poster

47 2022

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

L. Graf; P. Bernardino; S. Steinhauser; Z. Un Nisa; K. Berger; D. Ganeva; S. Belda; J. Verrelst; H. Aasen  ESA Living Planet Symposium, Bonn, Germany

Poster

46 2022

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

J. Estévez; M. Salinero-Delgado; K. Berger; L. Pipia; J.P. Rivera-Caicedo;M. Wocher; P. Reyes-Muñoz; G. Tagliabue; M. Boschetti; J. Verrelst GIS Ostrava 2022

Extended abstract

Presentation

45 2022

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)

 Verrelst, J. Berger, K., Halabuk, A., and teams  The 4th International Electronic Conference on Remote Sensing  Presentation
44 2021

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

SENSECO MC4/WGs Workshop, 11-13 Oct., Bucharest, Romania Presentation
43 2021

Large-scale machine learning techniques for vegetation variables estimation

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

10th advanced training course on land remote sensing, 20-24 Sept., Ljublana, Slovenia Presentation
42 2021

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

1st DESIS User Workshop, 28/09-01-10, Online, DLR, Germany Presentation
41 2021

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

K. Berger, A. Halabuk, J. Verrelst, M. Mojses, K. Gerhátová, G. Tagliabue, M. Wocher, T. Hank IGARSS2021, 12-16 July, Brussels, Belgium  Paper
40 2021

Crop phenology retrieval through Gaussian process regression

S. Belda, L. Pipia, E. Amin, M. Salinero, P. Reyes, J. Verrelst IGARSS2021, 12-16 July, Brussels, Belgium

Paper

39 2021

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

P. Reyes-Muñoz, L. Pipia, M. Salinero-Delgado, C. De Grave, J. Estévez, S. Belda, J. Verrelst IGARSS2021, 12-16 July, Brussels, Belgium

Paper

38 2021

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

H. Burriel, F. Albiol, L. Alonso, J. Moreno, J. Verrelst IGARSS2021, 12-16 July, Brussels, Belgium

Paper

37 2021 Prototyping vegetation traits models in the context of the hyperspectral CHIME mission preparation Verrelst, J., De Grave, C., Amin, E., Reyes, P., Morata, M., Portales, E., Belda, S., Tagliabue, G., Panigada, C., Boschetti, M., Candiani, G., Segl, K., Guillasso, S., Berger, K., Wocher, M., Hank, T., Rascher, U., Isola, C. IGARSS2021, 12-16 July, Brussels, Belgium

Paper

Presentation

36 2021 Emulation of Sun-Induced Fluorescence from radiance data recorded by the HyPlantairborne imaging spectrometer

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

IGARSS2021, 12-16 July, Brussels, Belgium

Paper

Presentation

35 2021 On the potential of emulating solar-induced chlorophyll fluorescence from multispectral UAV data for applications in breeding research–An example from the agricultural research station Campus Klein-Altendorf in Germany

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

EARSEL 2021 Presentation
34 2021 Progress in hybrid models for applications in remote sensing of vegetation

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

EARSEL 2021 Presentation
33 2021 Gaussian Process Regression hyperparameter optimization for image time series gap-filling of Earth observation data and crop monitoring

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

EGU 2021 Presentation
32 2021 Development of hybrid models for the operational retrieval of vegetation traits from the hyperspectral CHIME mission

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

EGU 2021 Presentation
31 2021 Crop phenology monitoring from Landsat 8 and Sentinel-2 green LAI time series at the Nile Delta Amin, E., Belda, S., Pipia, L., Szantoi, Z., El Baroudy, A., Moreno J., Verrelst, J. EGU 2021 Presentation
30 2021 Mapping vegetation variables in Google Earth Engine using Gaussian Process Regression models Salinero-Delgado, M., Pipia, L.,  Amin, E., Belda, S., Verrelst, J. EGU 2021 Presentation
29 2020 Fluorescence-based Photosynthesis Estimates for Vegetation Productivity Monitoring from Space: 2 years of SENTIFLEX activities Verrelst, J., Amin, E., Belda, S., Burriel, H., De Grave, C., Estevez, J., Morata, M., Morcillo-Pallarés, P., Pipia, L., Reyes, P., Salinero, M., Tramontana, G. ESA EO for Agriculture under Pressure Presentation 
28  2020 Intelligent Sampling for Retrieval of Crop Characteristics With Active Learning Berger, K., Wocher, M., Rivera-Caicedo, J.P., Verrelst, J.

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

Video

27  2020 Mapping Vegetation Variables in Google Earth Engine Using Gaussian Process Regression Models Salinero, M., Pipia. L., Amin, E., Belda. S., Verrelst, J.

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

Video

26  2020 Systematic Assessment of Emulators for Atmospheric Correction in the O2A Absorption Band Vicent, J., Verrelst, J., Sabater, N., Muñoz-Mari, J., Camps-Valls. G., Moreno, J.

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

Video

25  2020 DATimeS: a new machine learning time series GUI toolbox for gap-filling of Earth observation data and crop monitoring Belda, S., Pipia. L., Amin, E., Salinero, M., Rivera-Caicedo, J.P., Verrelst, J.

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

Video

24 2020

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

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

EGU 2020

Poster

23 2020

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

22  2020

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

21  2019

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

20  2019 Assessing maize nitrogen content from hyperspectral data through MLRA: preliminary results in a Precision Farming framework

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

19  2019

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.

Presentation
18 2019

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

Presentation
17 2019

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

Berger, K., Verrelst, J., Wocher, M., Danner, M., Zhihui, W., Mauser, W., Hank, T.

WHISPERS and SWIIMS workshops, Amsterdam September 24-26

Presentation
16 2019

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.

Poster
15 2019 Status on the vegetation properties retrieval algorithms for hyperspectral satellite missions FLEX & CHIME De Grave, C., Verrelst, J., Morcillo Pallarés, P., Rivera-Caicedo, J.P., Moreno, J. International Cooperation in Spaceborne Imaging Spectroscopy, ESA-ESRIN, 9-11 July 2019, Frascati, Italy Presentation
14  2019 Opportunities & Limitations of Crop Nitrogen Products Retrieval from Future Imaging Spectroscopy Data Berger, K., Verrelst, J., Wocher, M., Danner, M., Wang, Z., Mauser, W., Hank, T. Workshop on International Cooperation in Spaceborne Imaging Spectroscopy, ESA-ESRIN, 9-11 July 2019, Frascati, Italy Poster
13 2019

DATimeS, a new and effective toolbox for land management

Belda, S., Morcillo, P., Pipia, L., Rivera, J.P., Amin, E., Verrelst, J.

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

Poster
12 2019 S1-S2 synergy for cloud-induced vegetation parameter gap filling Pipia, L., Muñoz, J., Amin, E., Burriel, H., Belda, S., Camps-Valls, G., Verrelst, J.

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

Poster
11 2019 Prototyping FLEX FLORIS and Sentinel-3 OLCI Vegetation Products in Support of Forthcoming FLEX Photosynthesis Estimates Verrelst, J., De Grave, C., Amin, E., Rivera-Caicedo, J.P., Morcillo Pallarés, P., Pipia, L., Belda, S., Moreno, J.

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

Presentation
10 2019

The S3 SYN product for biophysical variables retrieval: an assessment

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

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

Presentation
9 2019
A machine learning based approach for estimating gross carbon dioxide fluxes from eddy covariance net ecosystem exchange measurements

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

EGU General Assembly, 07-12 April, Vienna, Austria  Presentation
8 2019

DATimeS, a new and effective toolbox for land management

Belda, S., Lumbierres, M., Morcillo Pallarés, P., Pipia, L., Rivera Caicedo, J.P., Amin, E., Verrelst, J. EGU General Assembly, 07-12 April, Vienna, Austria
Poster
7 2019 FLEX mission: Status on the retrieval models for the traditional biophysical variables
(LAI, Cab, fAPAR, FCover).
De Grave, C., Verrelst, J., Morcillo Pallarés, P., Rivera-Caicedo, J.P., Moreno, J. International Network on Remote Sensing of Terrestrial and Aquatic Fluorescence, 05-08 March, Davos, Switzerland Presentation
6 2019

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

Morcillo Pallarés, P., Rivera Caicedo, J.P., Belda, S., De Grave, C., Burriel, H., Damm, A., Moreno, J., Verrelst, J.
 
International Network on Remote Sensing of Terrestrial and Aquatic Fluorescence, 05-08 March, Davos, Switzerland Poster
5 2019

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

Morcillo Pallarés, P., Rivera-Caicedo, J.P., Belda, S., De Grave, C., Burriel, H., Moreno, J., Verrelst, J. 11th EARSeL Imaging Spectroscopy Workshop, 06-08 February, Brno, Czech Republic Poster
4 2019 Exploring the synergetic use of OLCI and
FLORIS spectra for the retrieval of Cab and LAI.
De Grave, C., Verrelst, J., Morcillo Pallarés, P., Rivera-Caicedo, J.P., Moreno, J. 11th EARSeL Imaging Spectroscopy Workshop, 06-08 February, Brno, Czech Republic Presentation
3 2019

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

Verrelst, J., Rivera-Caicedo, J.P., Vicent, J., Morcillo Pallarés, P., Estévez, J., Moreno, J. 11th EARSeL Imaging Spectroscopy Workshop, 06-08 February, Brno, Czech Republic Presentation
2 2018

Approximating experimental vegetation spectroscopy data through emulation

Verrelst, J., Rivera, J.P., Vicent, J., Moreno, J. IGARSS2018, 22-27 July, Valencia, Spain. Presentation
1 2018

Progress in emulation for radiative transfer modeling and mapping

Verrelst, J., Rivera, J.P., Moreno, J.

IGARSS2018, 22-27 July, Valencia, Spain.

Presentation

 

 

Book Chapters

# YEAR TITLE AUTHORS PRESS Link
4 2022

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
3 2019

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

Chapter
2 2019

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.

Chapter
1 2019

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.

 Chapter

 

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