Land surface temperature - Based spatial interpolation using a modified inverse distance weighting method

Emre Ozelkan, Serdar Bagis, B. Berk Ustundag, Meric Yucel, Ertunga Cem Ozelkan, Cankut Ormeci

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

11 Atıf (Scopus)

Özet

The aim of this study is to design a spatial interpolation system integrating long years' monthly average (LYMA) land surface temperature (LST) and air temperature (Ta) data from meteorological stations. A new modified Inverse Distance Weighting (M-IDW) method is proposed for this purpose along with a sustainable geographical information system (GIS). An application is presented for Eastern Thrace, which is located in Southeast Europe. The results show that if sufficient amount of image and cloudless pixels are assembled in the LST computation, the natural structure and characteristic were reflected better using the proposed system as compared to the standard IDW. The proposed method seems to yield more accurate results than standard IDW particularly in spring, summer and autumn.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2013 2nd International Conference on Agro-Geoinformatics
Ana bilgisayar yayını alt yazısıInformation for Sustainable Agriculture, Agro-Geoinformatics 2013
Sayfalar110-115
Sayfa sayısı6
DOI'lar
Yayın durumuYayınlandı - 2013
Etkinlik2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013 - Fairfax, VA, United States
Süre: 12 Ağu 201316 Ağu 2013

Yayın serisi

Adı2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013

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???event.eventtypes.event.conference???2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013
Ülke/BölgeUnited States
ŞehirFairfax, VA
Periyot12/08/1316/08/13

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