Modelling and Remote Sensing of Land Surface Temperature in Turkey

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dc.authoridsahin, mehmet/0000-0001-7942-9253
dc.contributor.authorSahin, Mehmet
dc.contributor.authorYildiz, B. Yigit
dc.contributor.authorSenkal, Ozan
dc.contributor.authorPestemalci, Vedat
dc.date.accessioned2024-12-24T19:24:58Z
dc.date.available2024-12-24T19:24:58Z
dc.date.issued2012
dc.departmentSiirt Üniversitesi
dc.description.abstractThis study introduces artificial neural networks (ANNs) for the estimation of land surface temperature (LST) using meteorological and geographical data in Turkey (26-45A degrees E and 36-42A degrees N). A generalized regression neural network (GRNN) was used in the network. In order to train the neural network, meteorological and geographical data for the period from January 2002 to December 2002 for 10 stations (Adana, Afyon, Ankara, EskiAYehir, A degrees stanbul, A degrees zmir, Konya, Malatya, Rize, Sivas) spread over Turkey were used as training (six stations) and testing (four stations) data. Latitude, longitude, elevation and mean air temperature are used in the input layer of the network. Land surface temperature is the output. However, land surface temperature has been estimated as monthly mean by using NOAA-AVHRR satellite data in the thermal range over 10 stations in Turkey. The RMSE between the estimated and ground values for monthly mean with ANN temperature(LSTANN) and Becker and Li temperature(LSTB-L) method values have been found as 0.077 K and 0.091 K (training stations), 0.045 K and 0.003 K (testing stations), respectively.
dc.identifier.doi10.1007/s12524-011-0158-3
dc.identifier.endpage409
dc.identifier.issn0255-660X
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84864086208
dc.identifier.scopusqualityQ1
dc.identifier.startpage399
dc.identifier.urihttps://doi.org/10.1007/s12524-011-0158-3
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6214
dc.identifier.volume40
dc.identifier.wosWOS:000305983300006
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of The Indian Society of Remote Sensing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectGeneralized regression neural network
dc.subjectLand surface temperature
dc.subjectSatellite data
dc.titleModelling and Remote Sensing of Land Surface Temperature in Turkey
dc.typeArticle

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