Eric Chavanon

Affiliations:
  • University of Toulouse, France


According to our database1, Eric Chavanon authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A Dynamic L-System-Based Architectural Maize Model for 3-D Radiative Transfer Simulation.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Bi-directional Monte-Carlo modelling of solar-induced chlorophyll fluorescence images for 3D vegetation canopies in the DART model.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023


2022
Correction of Directional Effects in Sentinel-2 and -3 Images with Sentinel-3 Time Series and Dart 3D Radiative Transfer Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Quantitative Analysis of DART Calibration Accuracy for Retrieving Spectral Signatures Over Urban Area.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Using the Negative Soil Adjustment Factor of Soil Adjusted Vegetation Index (SAVI) to Resist Saturation Effects and Estimate Leaf Area Index (LAI) in Dense Vegetation Areas.
Sensors, 2021

2020
Simulation of Solar-Induced Chlorophyll Fluorescence from 3D Canopies with the Dart Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Recent Improvements in the Dart Model for Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence, Satellite Image Inversion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Why To Model Remote Sensing Measurements In 3d? Recent Advances In Dart: Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence And Satellite Image Inversion.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2018
Simulation of Chlorophyll Fluorescence for Sun- and Shade-Adapted Leaves of 3D Canopies with the Dart Model.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Dart: A Tool For Studying Earth Surfaces - Time Series of Urban Radiative Budget From Eo Satellites.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Time series of urban radiative budget maps derived from EO satellites using a physical remote sensing model.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016
Dart: Radiative Transfer modeling for simulating terrain, airborne and satellite spectroradiometer and LIDAR acquisitions and 3D radiative budget of natural and urban landscapes.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Modeling specular reflectance and polarization in DART model for simulating remote sensing images of natural and urban landscapes.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016


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