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Pierre-Alexis Herrault
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2020 – today
- 2024
- [j7]Clément Bressant
, Pierre-Alexis Herrault
, Anne Puissant
:
Fine-Scale Phenology of Urban Trees From Satellite Image Time Series: Toward a Comprehensive Analysis of Influencing Factors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11685-11706 (2024) - 2021
- [j6]Pierre-Alexis Herrault
, Quentin Poterek
, B. Keller, D. Schwartz, D. Ertlen:
Automated detection of former field systems from airborne laser scanning data: a new approach for Historical Ecology. Int. J. Appl. Earth Obs. Geoinformation 104: 102563 (2021) - 2020
- [j5]Quentin Poterek
, Pierre-Alexis Herrault
, Grzegorz Skupinski, David Sheeren
:
Deep Learning for Automatic Colorization of Legacy Grayscale Aerial Photographs. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2899-2915 (2020)
2010 – 2019
- 2018
- [j4]Sébastien Bonthoux, Solenne Lefèvre, Pierre-Alexis Herrault
, David Sheeren
:
Spatial and Temporal Dependency of NDVI Satellite Imagery in Predicting Bird Diversity over France. Remote. Sens. 10(7): 1136 (2018) - 2017
- [j3]Sylvain Ferrant
, Adrien Selles
, Michel Le Page
, Pierre-Alexis Herrault, Charlotte Pelletier
, Ahmad Al Bitar
, Stephane Mermoz
, Simon Gascoin
, Alexandre Bouvet
, Mehdi Saqalli
, Benoit Dewandel
, Yvan Caballero
, Shakeel Ahmed
, Jean-Christophe Maréchal
, Yann Kerr
:
Detection of Irrigated Crops from Sentinel-1 and Sentinel-2 Data to Estimate Seasonal Groundwater Use in South India. Remote. Sens. 9(11): 1119 (2017) - 2016
- [j2]Pierre-Alexis Herrault
, Laure Gandois
, Simon Gascoin
, Nikita Tananaev
, Théo Le Dantec, Roman Teisserenc
:
Using High Spatio-Temporal Optical Remote Sensing to Monitor Dissolved Organic Carbon in the Arctic River Yenisei. Remote. Sens. 8(10): 803 (2016) - 2015
- [j1]Pierre-Alexis Herrault, David Sheeren, Mathieu Fauvel, Martin Paegelow:
Vectorisation automatique des forêts dans les minutes de la carte d'état-major du 19e siècle. Rev. Int. Géomatique 25(1): 35-51 (2015) - 2013
- [c1]Pierre-Alexis Herrault
, David Sheeren, Mathieu Fauvel, Martin Paegelow:
Automatic Extraction of Forests from Historical Maps Based on Unsupervised Classification in the CIELab Color Space. AGILE Conf. 2013: 95-112
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