Markowicz, Krzysztof M Chiliński, Michał T
Published in
Sensors (Basel, Switzerland)
The aerosol scattering coefficient and Ångström exponent (AE) are important parameters in the understanding of aerosol optical properties and aerosol direct effect. These parameters are usually measured by a nephelometer network which is under-represented geographically; however, a rapid growth of air-pollution monitoring, using low-cost particle s...
Cobano-Delgado, Veronica Lorent-Bedmar, Vicente
Published in
International journal of environmental research and public health
The threat of depopulation in the rural areas making up what has become to be known as "empty Spain" is currently an extremely urgent national issue. Women are a fundamental pillar of rural sustainability, but the lack of decent living conditions has led to their mass exodus to the country's cities. We analysed the factors undermining their health ...
Gaudfrin, Florian
Le lidar est un instrument de télédétection active similaire au radar opérant dans la partie optique du spectre électromagnétique. Le principe est d’illuminer un milieu diffusant, soit solide (ex. végétation, peinture) soit dilué (ex. atmosphère, panache de fumée), et d’en collecter la lumière rétrodiffusée. Dans notre étude, deux processus d’inter...
Carvalho, Marcela Saux, Bertrand Le Trouvé-Peloux, Pauline Champagnat, Frédéric Almansa, Andrés
Aerial or satellite imagery is a great source for land surface analysis, which might yield land use maps or elevation models. In this investigation, we present a neural network framework for learning semantics and local height together. We show how this joint multi-task learning benefits to each task on the large dataset of the 2018 Data Fusion Con...
TODKAR, Shreedhar Savant Le Bastard, Cédric Baltazart, Vincent Ihamouten, Amine Dérobert, Xavier
International audience
Baqué, Rémi Dreuillet, Philippe Oriot, Hélène
ONERA is one of the leading organizations in experimental research on aeronautic topics. Works on Airborne Radar began forty years ago with the first airborne demonstrator named RAMSES. At the end of the aircraft's life (Transall C160), ONERA invested in the transfer of sensors to a Falcon 20 jet. This new platform, called SETHI, participated to it...
Viallefont-Robinet, Françoise
In the frame of the monitoring of Sentinel 2 MSI sensors in orbit, a method for inter-band calibration validation, using Antarctic site, has been developed and tested. The method relies on the directional hemispheric reflectance found in ASTER data base. In order to consider that the spectral shape of the directional directional reflectance is the ...
Daudt, Rodrigo Chan-Hon-Tong, Adrien Le Saux, Bertrand Boulch, Alexandre
In this paper we discuss the issues of using inexact and inaccurate ground truth in the context of supervised learning. To leverage large amounts of Earth observation data for training algorithms, one often has to use ground truth which was not been carefully assessed. We address both the problems of training and evaluation. We first propose a weak...
Gressier, Amélie Caillault, Karine
Optronic sensors on board satellites are used for remote sensing and telecommunications, but are submitted to meteorological conditions and among them cloud cover and aerosols. Aerosol presence in the field of view could be one of the key factor limiting performances of these sensors. The goal of this study is to predict optical transmission of a s...
Castillo-Navarro, Javiera Audebert, Nicolas Boulch, Alexandre Le Saux, Bertrand Lefèvre, S.
This paper explores different aspects of semantic segmentation of remote sensing data using deep neural networks. Learning with deep neural networks was revolutionized by the creation of ImageNet. Remote sensing benefited of these new techniques, however Earth Observation (EO) datasets remain small in comparison. In this work, we investigate how we...
