Satellite-based and mesoscale regression modeling of monthly air and soil temperatures over complex terrain in Turkey

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dc.authorid0000-0003-1099-4363en_US
dc.authorid0000-0002-0156-1657en_US
dc.authorid0000-0003-4008-8927en_US
dc.contributor.authorEvrendilek, Fatih
dc.contributor.authorKarakaya, Nusret
dc.contributor.authorGüngör, Kerem
dc.contributor.authorAslan, Güler
dc.date.accessioned2021-06-23T19:33:54Z
dc.date.available2021-06-23T19:33:54Z
dc.date.issued2012
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractSimple regression algorithms were developed to quantify spatio-temporal dynamics of minimum and maximum air temperatures (T-min and T-max respectively) and soil temperature for a depth of 0-5 cm (Tsoil-5cm) across complex terrain in Turkey using Moderate Resolution Imaging Spectroradiometer (MODIS) data at a 500-m resolution. A total of 762 16-day MODIS composites (127 images x 6 bands) between 2000 and 2005 were averaged over a monthly basis to temporally match monthly T-min, T-max, and Tsoil-5cm from 83 meteorological stations. A total of 60 (28 temporally averaged plus 32 time series-based) linear regression models of T-min, T-max, and Tsoil-5cm were developed using best subsets procedure as a function of a combination of 12 explanatory variables: six MODIS bands of blue, red, near infrared (NIR), middle infrared (MIR), normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI); four geographical variables of latitude, longitude, altitude, and distance to sea (DtS); and two temporal variables of month, and year. The best multiple linear regression models elucidated 65% (RMSE = 5.9 degrees C), 65% (RMSE = 5.1 degrees C), and 57% (RMSE = 6.9 degrees C) of variations in T-min, T-max, and Tsoil-5cm, respectively, under a wide range of T-min (-34 to 25 degrees C), T-max (0.2-47 degrees C) and Tsoil-5cm (-9 to 40 degrees C) observed at the 83 stations. (C) 2011 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2011.08.023
dc.identifier.endpage2066en_US
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-80054903856en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2059en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2011.08.023
dc.identifier.urihttps://hdl.handle.net/20.500.12491/7272
dc.identifier.volume39en_US
dc.identifier.wosWOS:000298027300049en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorEvrendilek, Fatih
dc.institutionauthorKarakaya, Nusret
dc.institutionauthorAslan, Güler
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir and Soil Temperaturesen_US
dc.subjectAncillary Dataen_US
dc.subjectComplex Terrainen_US
dc.subjectMODISen_US
dc.subjectSpatio-temporal Modelingen_US
dc.titleSatellite-based and mesoscale regression modeling of monthly air and soil temperatures over complex terrain in Turkeyen_US
dc.typeArticleen_US

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