Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Jacinto Estima"'
Autor:
Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra, Leonardo Moura, Ana Margarida Ricardo, Luís Mendes, Rui M. L. Ferreira
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 7, p 268 (2023)
Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data c
Externí odkaz:
https://doaj.org/article/449f15a067e84c02a93fe7670dc3dd69
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 1, p 28 (2021)
This article describes a novel approach for toponym resolution with deep neural networks. The proposed approach does not involve matching references in the text against entries in a gazetteer, instead directly predicting geo-spatial coordinates. Mult
Externí odkaz:
https://doaj.org/article/d70188213d4545da893ea303ca2c5df1
Autor:
Jacinto Estima, Marco Painho
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 5, Iss 10, p 183 (2016)
Geographic information has been traditionally produced by mapping agencies and corporations, using highly skilled professionals as well as expensive precision equipment and procedures, in a very costly approach. The production of land use and land co
Externí odkaz:
https://doaj.org/article/e77ee84cd7b3489685397906c36a7913
Autor:
Vyron Antoniou, Cidália Costa Fonte, Linda See, Jacinto Estima, Jamal Jokar Arsanjani, Flavio Lupia, Marco Minghini, Giles Foody, Steffen Fritz
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 5, Iss 5, p 64 (2016)
Geo-tagged photographs are used increasingly as a source of Volunteered Geographic Information (VGI), which could potentially be used for land use and land cover applications. The purpose of this paper is to analyze the feasibility of using this sour
Externí odkaz:
https://doaj.org/article/415b0a5d08084f808754a3b39ef2c285
Autor:
Linda See, Peter Mooney, Giles Foody, Lucy Bastin, Alexis Comber, Jacinto Estima, Steffen Fritz, Norman Kerle, Bin Jiang, Mari Laakso, Hai-Ying Liu, Grega Milčinski, Matej Nikšič, Marco Painho, Andrea Pődör, Ana-Maria Olteanu-Raimond, Martin Rutzinger
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 5, Iss 5, p 55 (2016)
Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst oth
Externí odkaz:
https://doaj.org/article/4872abc2a7ad47dd8c146b21c73d9916
Autor:
Ferreira, Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra, Leonardo Moura, Ana Margarida Ricardo, Luís Mendes, Rui M. L.
Publikováno v:
ISPRS International Journal of Geo-Information; Volume 12; Issue 7; Pages: 268
Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data c
Autor:
Ana M. Ricardo, Rui M. L. Ferreira, Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra
Floods are among the most common natural disasters responsible for severe damages and human losses. Combining numerical modelling with user-friendly tools for geographically referenced data has been adopted to increase preparedness and reduce vulnera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fad023d44839ea3ecc78dc7853cba07a
https://doi.org/10.5194/essd-2023-100
https://doi.org/10.5194/essd-2023-100
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 28, p 28 (2022)
ISPRS International Journal of Geo-Information; Volume 11; Issue 1; Pages: 28
ISPRS International Journal of Geo-Information; Volume 11; Issue 1; Pages: 28
This article describes a novel approach for toponym resolution with deep neural networks. The proposed approach does not involve matching references in the text against entries in a gazetteer, instead directly predicting geo-spatial coordinates. Mult
Publikováno v:
EDULEARN Proceedings.
Publikováno v:
Multimedia Tools and Applications. 79:26197-26223
The use of social media data in disaster and crisis management is increasing rapidly. Particularly in connection to flooding events, geo-referenced images shared by citizens can provide situational awareness to emergency responders, as well as assist