David Morin
Orcid: 0000-0001-7711-2770
According to our database1,
David Morin
authored at least 21 papers
between 2015 and 2024.
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Bibliography
2024
Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context.
CoRR, 2024
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Mapping the Dieback of Several Tree Species in Centre of France Using Sentinel-2 Derived Indices : a Preliminary Analysis.
Proceedings of the IGARSS 2024, 2024
2022
Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process.
Remote. Sens., 2022
2019
Estimation and Mapping of Forest Structure Parameters from Open Access Satellite Images: Development of a Generic Method with a Study Case on Coniferous Plantation.
Remote. Sens., 2019
Estimation of Forest Parameters Combining High Resolution Radar and Optical Spaceborne Sensors.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Estimation of Forest Parameters Combining Multisensor High Resolution Remote Sensing Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series.
Remote. Sens., 2017
Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem.
Remote. Sens., 2017
2016
Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions.
Remote. Sens., 2016
Int. J. Medical Informatics, 2016
2015
Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series.
Remote. Sens., 2015
An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series.
Remote. Sens., 2015
A Generic Algorithm to Estimate LAI, FAPAR and FCOVER Variables from SPOT4_HRVIR and Landsat Sensors: Evaluation of the Consistency and Comparison with Ground Measurements.
Remote. Sens., 2015
Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery.
Remote. Sens., 2015
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2.
Remote. Sens., 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Benchmarking of algorithms for crop type land-cover maps using Sentinel-2 image time series.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015