Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Moritz Lennert"'
Autor:
Stefanos Georganos, Oscar Brousse, Sébastien Dujardin, Catherine Linard, Daniel Casey, Marco Milliones, Benoit Parmentier, Nicole P. M. van Lipzig, Matthias Demuzere, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga, Verónica Andreo, Robert W. Snow, Moritz Lennert
Publikováno v:
International Journal of Health Geographics, Vol 19, Iss 1, Pp 1-18 (2020)
Abstract Background The rapid and often uncontrolled rural–urban migration in Sub-Saharan Africa is transforming urban landscapes expected to provide shelter for more than 50% of Africa’s population by 2030. Consequently, the burden of malaria is
Externí odkaz:
https://doaj.org/article/fb185e8e4e134675b4aa99a567538c9b
Autor:
Stefanos Georganos, Tais Grippa, Sabine Vanhuysse, Moritz Lennert, Michal Shimoni, Stamatis Kalogirou, Eleonore Wolff
Publikováno v:
GIScience & Remote Sensing, Vol 55, Iss 2, Pp 221-242 (2018)
This study evaluates the impact of four feature selection (FS) algorithms in an object-based image analysis framework for very-high-resolution land use-land cover classification. The selected FS algorithms, correlation-based feature selection, mean d
Externí odkaz:
https://doaj.org/article/bfaeb9b3c9464fd0b26ad3e75ed49db0
Autor:
Nicholus Mboga, Stefano D’Aronco, Tais Grippa, Charlotte Pelletier, Stefanos Georganos, Sabine Vanhuysse, Eléonore Wolff, Benoît Smets, Olivier Dewitte, Moritz Lennert, Jan Dirk Wegner
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 8, p 523 (2021)
Multitemporal environmental and urban studies are essential to guide policy making to ultimately improve human wellbeing in the Global South. Land-cover products derived from historical aerial orthomosaics acquired decades ago can provide important e
Externí odkaz:
https://doaj.org/article/85681d387c66413c9526869838b32321
Autor:
Céline Bassine, Julien Radoux, Benjamin Beaumont, Taïs Grippa, Moritz Lennert, Céline Champagne, Mathilde De Vroey, Augustin Martinet, Olivier Bouchez, Nicolas Deffense, Eric Hallot, Eléonore Wolff, Pierre Defourny
Publikováno v:
Data, Vol 5, Iss 4, p 117 (2020)
Land cover maps contribute to a large diversity of geospatial applications, including but not limited to land management, hydrology, land use planning, climate modeling and biodiversity monitoring. In densely populated and highly fragmented landscape
Externí odkaz:
https://doaj.org/article/7317d3332d5345c28bae1831eaaa997f
Autor:
Moritz Lennert
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 1, Pp 62-86 (2015)
Economic geography has begun to explore the options involved in micro-data. New databases have become available and new techniques and an increase in computer power allow their treatment. However, two major issues impede the use of these datasets: th
Externí odkaz:
https://doaj.org/article/1031e088923e431190563f172b0903d9
Autor:
Stefanos Georganos, Assane Niang Gadiaga, Catherine Linard, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wolff, Sébastien Dujardin, Moritz Lennert
Publikováno v:
Remote Sensing, Vol 11, Iss 21, p 2543 (2019)
A systematic and precise understanding of urban socio-economic spatial inequalities in developing regions is needed to address global sustainability goals. At the intra-urban scale, access to detailed databases (i.e., a census) is often a difficult e
Externí odkaz:
https://doaj.org/article/10fbb91bc4e4476f99021d331e7e321f
Autor:
Nicholus Mboga, Stefanos Georganos, Tais Grippa, Moritz Lennert, Sabine Vanhuysse, Eléonore Wolff
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 597 (2019)
Land cover Classified maps obtained from deep learning methods such as Convolutional neural networks (CNNs) and fully convolutional networks (FCNs) usually have high classification accuracy but with the detailed structures of objects lost or smoothed
Externí odkaz:
https://doaj.org/article/ad02f583d2a7460bac27a3d200ee4014
Autor:
Taïs Grippa, Catherine Linard, Moritz Lennert, Stefanos Georganos, Nicholus Mboga, Sabine Vanhuysse, Assane Gadiaga, Eléonore Wolff
Publikováno v:
Data, Vol 4, Iss 1, p 13 (2019)
Built-up layers derived from medium resolution (MR) satellite information have proven their contribution to dasymetric mapping, but suffer from important limitations when working at the intra-urban level, mainly due to their difficulty in capturing t
Externí odkaz:
https://doaj.org/article/74a125dbbf0f4a6283385b84c6e42b79
Autor:
Stefanos Georganos, Tais Grippa, Moritz Lennert, Sabine Vanhuysse, Brian Alan Johnson, Eléonore Wolff
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1440 (2018)
To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis (GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover maps. A crucial step in GEOBIA is the appropriate parametrization of the segme
Externí odkaz:
https://doaj.org/article/8f2aff1e6f744ac199fa269bab76eb4f
Autor:
Taïs Grippa, Stefanos Georganos, Soukaina Zarougui, Pauline Bognounou, Eric Diboulo, Yann Forget, Moritz Lennert, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wolff
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 7, p 246 (2018)
Up-to-date and reliable land-use information is essential for a variety of applications such as planning or monitoring of the urban environment. This research presents a workflow for mapping urban land use at the street block level, with a focus on r
Externí odkaz:
https://doaj.org/article/076d3392d8d9455aacb4db3d2b382488