Spatial interpolation of climatic variables using land surface temperature and modified inverse distance weighting-Reference-Cited by-同舟云学术

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Spatial interpolation of climatic variables using land surface temperature and modified inverse distance weighting

Published:2015-02-16 Issue:4 Volume:36 Page:1000-1025
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ozelkan Emre¹,Bagis Serdar¹,Ozelkan Ertunga Cem²,Ustundag Burak Berk¹,Yucel Meric³,Ormeci Cankut⁴

Affiliation:

1. Agricultural & Environmental Informatics Research and Application Centre, Istanbul Technical University, Istanbul, Turkey

2. Systems Engineering & Engineering Management, The University of North Carolina at Charlotte, Charlotte, NC, USA

3. National Software Certification Centre, Istanbul Technical University, Istanbul, Turkey

4. Department of Geomatics Engineering, Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1007248

Reference62 articles.

1. Discriminating clear sky from clouds with MODIS

2. Spatial interpolation techniques for climate data in the GAP region in Turkey

3. AN APPROACH TO THE ESTIMATION OF THE SURFACE RADIATIVE PROPERTIES AND RADIATION BUDGETS OF CITIES

4. Identification and optimal estimation of random fields from scattered point-wise data

5. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

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