Modelling of air temperature using remote sensing and artificial neural network in Turkey

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dc.authoridsahin, mehmet/0000-0001-7942-9253
dc.contributor.authorSahin, Mehmet
dc.date.accessioned2024-12-24T19:25:21Z
dc.date.available2024-12-24T19:25:21Z
dc.date.issued2012
dc.departmentSiirt Üniversitesi
dc.description.abstractThe aim of this research was to forecast monthly mean air temperature based on remote sensing and artificial neural network (ANN) data by using twenty cities over Turkey. ANN contained an input layer, hidden layer and an output layer. While city, month, altitude, latitude, longitude, monthly mean land surface temperatures were chosen as inputs, and monthly mean air temperature was chosen as output for network. Levenberg-Marquardt (LM) learning algorithms and tansig, logsig and linear transfer functions were used in the network. The data of Turkish State Meteorological Service (TSMS) and Technological Research Council of Turkey-Bilten for the period from 1995 to 2004 were chosen as training when the data of 2005 year were being used as test. Result of research was evaluated according to statistical rules. The best linear correlation coefficient (R), and root mean squared error (RMSE) between the estimated and measured values for monthly mean air temperature with ANN and remote sensing method were found to be 0.991-1.254 K, respectively. (C) 2012 COSPAR. Published by Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.asr.2012.06.021
dc.identifier.endpage985
dc.identifier.issn0273-1177
dc.identifier.issn1879-1948
dc.identifier.issue7
dc.identifier.scopus2-s2.0-84864764050
dc.identifier.scopusqualityQ1
dc.identifier.startpage973
dc.identifier.urihttps://doi.org/10.1016/j.asr.2012.06.021
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6370
dc.identifier.volume50
dc.identifier.wosWOS:000307919400011
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofAdvances in Space Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectAir temperature
dc.subjectArtificial neural network
dc.subjectNOAA
dc.subjectAVHRR
dc.subjectRemote sensing
dc.subjectSatellite
dc.titleModelling of air temperature using remote sensing and artificial neural network in Turkey
dc.typeArticle

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