Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kleanthis, Karamvasis"'
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1380 (2020)
Time Series Interferometric Synthetic Aperture Radar (TSInSAR) methods have been widely and successfully applied for spatiotemporal ground deformation monitoring. The main groups of methodological approaches are often referred to as Persistent Scatte
Externí odkaz:
https://doaj.org/article/e560ffbc0fca4997a525c4d5202f549a
Publikováno v:
Water
Volume 13
Issue 21
Water, Vol 13, Iss 2943, p 2943 (2021)
Volume 13
Issue 21
Water, Vol 13, Iss 2943, p 2943 (2021)
A new automatic, free and open-source python toolbox for the mapping of floodwater is presented. The output of the toolbox is a binary mask of floodwater at a user-specified time point within geographical boundaries. It exploits the high spatial (10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920cff9a21ab214d5aff3f61ec5e8610
https://doi.org/10.3390/w13212943
https://doi.org/10.3390/w13212943
Autor:
Milto Miltiadou, Vito De Pasquale, Pol Kolokoussis, Marco Polignano, Anastasia Sarelli, Marco de Gemmis, Bogdan Despotov, Kleanthis Karamvasis, Vasilis Kopsacheilis, Michail Vaitis, Dominik Grether, Ilias Ioannou, Virginie Lafon, Sergio Samarelli, Olivier Regniers, Konstantinos Topouzelis, Jenny Malig, Christiana Papoutsa
Publikováno v:
Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018).
SEO-DWARF (Semantic Earth Observation Data Web Alert and Retrieval Framework) is a project funded by the European Union Horizon 2020 research and innovation programme. The main objective of the project is to realize the content-based search of Earth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd8852d894e2defba7bf0fccb0d53cd8
https://doi.org/10.1117/12.2325839
https://doi.org/10.1117/12.2325839
Autor:
Vassilia Karathanassi, Vito De Pasquale, Polychronis Kolokoussis, Kleanthis Karamvasis, Giulio Ceriola
Publikováno v:
Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::916e19f00dcc463b377a9c68fc889eaa
https://doi.org/10.1117/12.2326205
https://doi.org/10.1117/12.2326205
Publikováno v:
ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W2, Pp 91-96 (2017)
DOAJ-Articles
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W2, Pp 91-96 (2017)
DOAJ-Articles
Coastal zones are vulnerable to erosion and loss by level sea rise. Subsidence caused by the reduction of fluvial sediments in coastal zones found close to dams, is another important deformation factor. Quantification of the deformation rate of coast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6e710b84e3a2c14a4b40115b51d0e66
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W2/91/2017/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W2/91/2017/
Publikováno v:
SPIE Proceedings.
In recent years, many efforts have been made in order to assess forest stand parameters from remote sensing data, as a mean to estimate the above-ground carbon stock of forests in the context of the Kyoto protocol. Synthetic aperture radar interferom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::768080348bdf13f9b53b395c5b7683a6
https://doi.org/10.1117/12.2192581
https://doi.org/10.1117/12.2192581
Autor:
Kleanthis, Karamvasis, Polychronis, Kolokoussis, Vassilia, Karathanassi, De Pasquale, Vito, Ceriola, Giulio
Publikováno v:
Proceedings of SPIE; 7/20/2018, Vol. 10773, p1-8, 8p
Publikováno v:
Remote Sensing; Volume 12; Issue 9; Pages: 1380
Remote Sensing, Vol 12, Iss 1380, p 1380 (2020)
Remote Sensing, Vol 12, Iss 1380, p 1380 (2020)
Time Series Interferometric Synthetic Aperture Radar (TSInSAR) methods have been widely and successfully applied for spatiotemporal ground deformation monitoring. The main groups of methodological approaches are often referred to as Persistent Scatte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4600916f93b490ef1c6f7a0264011d7