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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Editorial: Application of remote sensing and non-invasive hydrogeophysics to integrated hydrological models

Authors : Lubczynski, Maciek; Leblanc, Marc; Batelaan, Okke ...

Subjects: Remote sensing; Hydrogeo- physics; Modelisation hydrologique

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04168541 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1217946⟩

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Academic Journal

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Authors : Bouramtane, Tarik; Leblanc, Marc; Kacimi, Ilias ...

Subjects: deep neural network; groundwater level; remote sensing

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://hal.inrae.fr/hal-04296066 ; Frontiers in Water, 2023, 5, ⟨10.3389/frwa.2023.1241451⟩

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Academic Journal

Satellite-based estimation of soil organic carbon in Portuguese grasslands

Authors : Morais, Tiago G.; Jongen, Marjan; Tufik, Camila

Subjects: remote sensing; satellite; cross-validation

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Academic Journal

High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques

Authors : Castro, Ana I. de; Rallo Morillo, Pilar; Suárez García, María Paz ...

Subjects: remote sensing; unmanned aerial vehicle; breeding program

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Academic Journal

Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Authors : de Lannoy, Gabriëlle, J M; Bechtold, Michel; Albergel, Clément ...

Subjects: data assimilation; soil moisture; snow

Source: EISSN: 2624-9375 ; Frontiers in Water ; https://meteofrance.hal.science/meteo-03842227 ; Frontiers in Water, 2022,

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Academic Journal

Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?

Authors : Deneu, Benjamin; Joly, Alexis; Bonnet, Pierre ...

Subjects: Species distribution model; Convolutional neural network; Ecological interpretation

Source: ISSN: 1664-462X ; Frontiers in Plant Science ; https://hal.inrae.fr/hal-03695760 ; Frontiers in Plant Science, 2022, 13,

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Academic Journal

Deep Species Distribution Modeling From Sentinel-2 Image Time-Series: A Global Scale Analysis on the Orchid Family

Authors : Estopinan, Joaquim; Servajean, Maximilien; Bonnet, Pierre ...

Subjects: Remote sensing; Macroecology; Data science

Source: ISSN: 1664-462X ; Frontiers in Plant Science ; https://hal.inrae.fr/hal-03693593 ; Frontiers in Plant Science, 2022, 13, pp.839327.

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Academic Journal

Deep Species Distribution Modeling From Sentinel-2 Image Time-Series: A Global Scale Analysis on the Orchid Family

Authors : Estopinan, Joaquim; Servajean, Maximilien; Bonnet, Pierre ...

Subjects: Remote sensing; Macroecology; Data science

Source: ISSN: 1664-462X ; Frontiers in Plant Science ; https://hal.inrae.fr/hal-03693593 ; Frontiers in Plant Science, 2022, 13, pp.839327.

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Academic Journal

Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?

Authors : Deneu, Benjamin; Joly, Alexis; Bonnet, Pierre ...

Subjects: Species distribution model; Convolutional neural network; Ecological interpretation

Source: ISSN: 1664-462X ; Frontiers in Plant Science ; https://hal.inrae.fr/hal-03695760 ; Frontiers in Plant Science, 2022, 13,

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Academic Journal

Small Object Detection and Tracking in Satellite Videos With Motion Informed-CNN and GM-PHD Filter

Authors : Aguilar, Camilo; Ortner, Mathias; Zerubia, Josiane ...

Subjects: object detection; object tracking; PHD filter

Source: EISSN: 2673-8198 ; Frontiers in Signal Processing ; https://inria.hal.science/hal-03655022 ; Frontiers in Signal Processing, 2022, 2,

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Academic Journal

Deep Species Distribution Modeling From Sentinel-2 Image Time-Series: A Global Scale Analysis on the Orchid Family

Authors : Estopinan, Joaquim; Servajean, Maximilien; Bonnet, Pierre ...

Subjects: Remote sensing; Macroecology; Data science

Source: ISSN: 1664-462X ; Frontiers in Plant Science ; https://hal.inrae.fr/hal-03693593 ; Frontiers in Plant Science, 2022, 13, pp.839327.

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