DocumentCode :
255219
Title :
Multi-parameter spatial interpolation of solar radiation in heterogeneous structured agricultural areas
Author :
Yazar, Muhammed Fatih ; Ozelkan, Emre ; Berk Ustundag, Burak
Author_Institution :
Inf. Res. & Applic. Center, Istanbul Tech. Univ., Istanbul, Turkey
fYear :
2014
fDate :
11-14 Aug. 2014
Firstpage :
1
Lastpage :
6
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.
Keywords :
crops; interpolation; irrigation; solar radiation; statistical analysis; DEM; OCK method; OK method; SI error; SR interpolation; VPD; agro-meteorological station data; air temperature; ancillary data; crop species; digital elevation model; heterogeneous agricultural areas; heterogeneous structured agricultural areas; irrigation techniques; multiparameter spatial interpolation; ordinary co-kriging method; ordinary kriging method; solar radiation; topographic conditions; vapor pressure deficit; Accuracy; Agriculture; Interpolation; Land surface; Silicon; Solar radiation; Surface topography; ancillary data; ordinarry cokriging; ordinary kriging; solar radiation; spatial interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/Agro-Geoinformatics.2014.6910636
Filename :
6910636
Link To Document :
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