| Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review J Verrelst, G Camps-Valls, J Muñoz-Marí, JP Rivera, F Veroustraete, ... ISPRS Journal of Photogrammetry and Remote Sensing 108, 273-290, 2015 | 693 | 2015 |
| Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and-3 J Verrelst, J Muñoz, L Alonso, J Delegido, JP Rivera, G Camps-Valls, ... Remote Sensing of Environment 118, 127-139, 2012 | 557 | 2012 |
| Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods–A comparison J Verrelst, JP Rivera, F Veroustraete, J Muñoz-Marí, JGPW Clevers, ... ISPRS Journal of Photogrammetry and Remote Sensing 108, 260-272, 2015 | 359 | 2015 |
| A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems J Delegido, J Verrelst, CM Meza, JP Rivera, L Alonso, J Moreno European Journal of Agronomy 46, 42-52, 2013 | 312 | 2013 |
| Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence? J Verrelst, JP Rivera, C van der Tol, F Magnani, G Mohammed, J Moreno Remote Sensing of Environment 166, 8-21, 2015 | 249 | 2015 |
| Spectral band selection for vegetation properties retrieval using Gaussian processes regression J Verrelst, JP Rivera, A Gitelson, J Delegido, J Moreno, G Camps-Valls International Journal of Applied Earth Observation and Geoinformation 52 …, 2016 | 214 | 2016 |
| Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval J Verrelst, JP Rivera, J Moreno, G Camps-Valls ISPRS journal of photogrammetry and remote sensing 86, 157-167, 2013 | 162 | 2013 |
| Toward a semiautomatic machine learning retrieval of biophysical parameters JPR Caicedo, J Verrelst, J Muñoz-Marí, J Moreno, G Camps-Valls IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 156 | 2014 |
| Multiple cost functions and regularization options for improved retrieval of leaf chlorophyll content and LAI through inversion of the PROSAIL model JP Rivera, J Verrelst, G Leonenko, J Moreno Remote Sensing 5 (7), 3280-3304, 2013 | 144 | 2013 |
| Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study J Verrelst, C van der Tol, F Magnani, N Sabater, JP Rivera, G Mohammed, ... Remote Sensing of Environment 176, 139-151, 2016 | 138 | 2016 |
| Optimizing LUT-based RTM inversion for semiautomatic mapping of crop biophysical parameters from Sentinel-2 and-3 data: Role of cost functions J Verrelst, JP Rivera, G Leonenko, L Alonso, J Moreno IEEE Transactions on Geoscience and Remote Sensing 52 (1), 257-269, 2013 | 128 | 2013 |
| Gaussian process retrieval of chlorophyll content from imaging spectroscopy data J Verrelst, L Alonso, JPR Caicedo, J Moreno, G Camps-Valls IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012 | 124 | 2012 |
| Hyperspectral dimensionality reduction for biophysical variable statistical retrieval JP Rivera-Caicedo, J Verrelst, J Muñoz-Marí, G Camps-Valls, J Moreno ISPRS journal of photogrammetry and remote sensing 132, 88-101, 2017 | 108 | 2017 |
| Brown and green LAI mapping through spectral indices J Delegido, J Verrelst, JP Rivera, A Ruiz-Verdú, J Moreno International Journal of Applied Earth Observation and Geoinformation 35 …, 2015 | 104 | 2015 |
| On the semi-automatic retrieval of biophysical parameters based on spectral index optimization JP Rivera, J Verrelst, J Delegido, F Veroustraete, J Moreno Remote Sensing 6 (6), 4927-4951, 2014 | 102 | 2014 |
| Active learning methods for efficient hybrid biophysical variable retrieval J Verrelst, S Dethier, JP Rivera, J Munoz-Mari, G Camps-Valls, J Moreno IEEE Geoscience and Remote Sensing Letters 13 (7), 1012-1016, 2016 | 88 | 2016 |
| Emulation of leaf, canopy and atmosphere radiative transfer models for fast global sensitivity analysis J Verrelst, N Sabater, JP Rivera, J Muñoz-Marí, J Vicent, G Camps-Valls, ... Remote Sensing 8 (8), 673, 2016 | 84 | 2016 |
| DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection S Belda, L Pipia, P Morcillo-Pallarés, JP Rivera-Caicedo, E Amin, ... Environmental Modelling & Software 127, 104666, 2020 | 78 | 2020 |
| Retrieval of canopy water content of different crop types with two new hyperspectral indices: Water Absorption Area Index and Depth Water Index N Pasqualotto, J Delegido, S Van Wittenberghe, J Verrelst, JP Rivera, ... International journal of applied earth observation and geoinformation 67, 69-78, 2018 | 74 | 2018 |
| A survey of active learning for quantifying vegetation traits from terrestrial earth observation data K Berger, JP Rivera Caicedo, L Martino, M Wocher, T Hank, J Verrelst Remote Sensing 13 (2), 287, 2021 | 72 | 2021 |
Jochem verrelstPost-doc researcher, Image Processing Laboratory (IPL), University of ValenciaGeverifieerd e-mailadres voor uv.es
