Mimar Sinan Fine Arts University Institutional Repository
DSpace@MSGSÜ digitally stores academic resources such as books, articles, dissertations, bulletins, reports, research data published directly or indirectly by Mimar Sinan Fine Arts University in international standarts, helps track the academic performance of the university, provides long term preservation for resources and makes publications available to Open Access in accordance with their copyright to increase the effect of publications.Search MSGSÜ
Functional linear regression models for scalar responses on remote sensing data: an application to Oceanography
| dc.contributor.author | Acar-Denizli, Nihan | |
| dc.contributor.author | Delicado, Pedro | |
| dc.contributor.author | Basarir, Gulay | |
| dc.contributor.author | Caballero, Isabel | |
| dc.date.accessioned | 2025-01-09T20:14:06Z | |
| dc.date.available | 2025-01-09T20:14:06Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 978-3-319-55846-2 | |
| dc.identifier.isbn | 978-3-319-55845-5 | |
| dc.identifier.issn | 1431-1968 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-55846-2_3 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14124/8728 | |
| dc.description | 4th International Workshop on Functional and Operatorial Statistics (IWFOS) -- JUN 15-17, 2017 -- A Coruna, SPAIN | en_US |
| dc.description.abstract | Remote Sensing (RS) data obtained from satellites are a type of spectral data which consist of reflectance values recorded at different wavelengths. This type of data can be considered as a functional data due to the continous structure of the spectrum. The aim of this study is to propose Functional Linear Regression Models (FLRMs) to analyze the turbidity in the coastal zone of Guadalquivir estuary from satellite data. With this aim different types of FLRMs for scalar response have been used to predict the amount of Total Suspended Solids (TSS) on RS data and their results have been compared. | en_US |
| dc.description.sponsorship | Spanish Ministry of Economy and Competitiveness; European Regional Development Fund [MTM2013-43992-R] | en_US |
| dc.description.sponsorship | This research was partially supported by the Spanish Ministry of Economy and Competitiveness, and European Regional Development Fund grant MTM2013-43992-R. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer International Publishing Ag | en_US |
| dc.relation.ispartof | Functional Statistics and Related Fields | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Functional linear regression models for scalar responses on remote sensing data: an application to Oceanography | en_US |
| dc.type | conferenceObject | en_US |
| dc.authorid | Caballero, Isabel/0000-0001-7485-0989 | |
| dc.authorid | Acar-Denizli, Nihan/0000-0002-0012-8632 | |
| dc.department | Mimar Sinan Güzel Sanatlar Üniversitesi | en_US |
| dc.identifier.doi | 10.1007/978-3-319-55846-2_3 | |
| dc.identifier.startpage | 15 | en_US |
| dc.identifier.endpage | 21 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.identifier.wosquality | N/A | |
| dc.identifier.wos | WOS:000426342800003 | |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.snmz | KA_20250105 |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||
This item appears in the following Collection(s)
-
Ꮃeb of Science [1851]
Web of Science platform














