Abstract
In this study, spatial interpolation (SI) of solar radiation (SR) examined with 81 agro-meteorological stations' data at South Eastern of Turkey. The aim is to minimize SI error of SR by using ancillary data, which are highly related to SR, over the heterogeneous agricultural areas that comprise different crop species, irrigation techniques, topographic conditions and others. The Ordinary Kriging (OK) method was used to interpolate SR individual, moreover ancillary data (air temperature (Ta), vapor pressure deficit (VPD), digital elevation model (DEM)) were used to generate interpolation using Ordinary Co-Kriging (OCK) method. The results show that the best SR interpolation was achieved using OCK with ancillary data of 'VPD and Ta together' up to 21% accuracy that can provide better assessment and management of crop development and yield.
| Original language | English |
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| Title of host publication | 2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479941575 |
| DOIs | |
| Publication status | Published - 25 Sept 2014 |
| Event | 2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 - Beijing, China Duration: 11 Aug 2014 → 14 Aug 2014 |
Publication series
| Name | 2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 |
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Conference
| Conference | 2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 |
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| Country/Territory | China |
| City | Beijing |
| Period | 11/08/14 → 14/08/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- ancillary data
- ordinarry cokriging
- ordinary kriging
- solar radiation
- spatial interpolation