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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2013 2nd International Conference on Agro-Geoinformatics
Subtitle of host publicationInformation for Sustainable Agriculture, Agro-Geoinformatics 2013
Pages110-115
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013 - Fairfax, VA, United States
Duration: 12 Aug 201316 Aug 2013

Publication series

Name2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013

Conference

Conference2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013
Country/TerritoryUnited States
CityFairfax, VA
Period12/08/1316/08/13

Keywords

  • Geographical information system
  • Land surface temperature
  • Modified inverse distance weighting
  • Spatial interpolation
  • Temperature

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