Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3
2011 · Remote Sensing of Environment · 514 citations
https://doi.org/10.1016/j.rse.2011.11.002
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Jochem Verrelst
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Jochem Verrelst is an academic researcher from Parc Científic de la Universitat de València. The author has contributed to research in topics: Remote Sensing in Agriculture & Remote Sensing and LiDAR Applications & Spectroscopy and Chemometric Analyses. The author has an h-index of 58, co-authored 241 publications.
ORCID: 0000-0002-6313-2081Papers by this author
worksCrop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
2020 · Remote Sensing of Environment · 385 citations
https://doi.org/10.1016/j.rse.2020.111758
Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India
2019 · International Journal of Applied Earth Observation and Geoinformation · 88 citations
https://doi.org/10.1016/j.jag.2019.102027
Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine
2021 · Remote Sensing · 79 citations
https://doi.org/10.3390/rs13030403
Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI
2020 · Remote Sensing · 51 citations
https://doi.org/10.3390/rs12060915
A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy
2023 · Ecological Indicators · 50 citations
https://doi.org/10.1016/j.ecolind.2023.110911
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