Thibault Catry

Orcid: 0000-0001-9514-1751

According to our database1, Thibault Catry authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Detection of Large-Scale Floods Using Google Earth Engine and Google Colab.
Remote. Sens., November, 2023

Sentinel-1 Based Cusum Capabilities As A Forest / Non-Forest Mask In Tropical Areas.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Contribution of Sentinel-3A Radar Altimetry Data to the Study of the Water Level Variations in Lake Buyo (West of Côte d'Ivoire).
Remote. Sens., 2022

2021
Fast Unsupervised Multi-Scale Characterization of Urban Landscapes Based on Earth Observation Data.
Remote. Sens., 2021

Monitoring loss of tropical forest cover from Sentinel-1 time-series: A CuSum-based approach.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Mapping coastal marine ecosystems of the National Park of Banc d'Arguin (PNBA) in Mauritania using Sentinel-2 imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Deforestation Monitoring Using Sentinel-L SAR Images in Humid Tropical Areas.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Toward an Early Warning System for Health Issues Related to Particulate Matter Exposure in Brazil: The Feasibility of Using Global PM2.5 Concentration Forecast Products.
Remote. Sens., 2020

A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires.
Remote. Sens., 2020

A Sentinel-1 Based Processing Chain for Detection of Cyclonic Flood Impacts.
Remote. Sens., 2020

2017
Regionalization of a Landscape-Based Hazard Index of Malaria Transmission: An Example of the State of Amapá, Brazil.
Data, 2017

2016
Mapping soil typologies using geomorphologic features extracted from dem and SAR data: A environmental factor affecting malaria transmission in the Amazon.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Multi-sensor data fusion for identifying malaria environmental features.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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