Evaluating spectral indices for winter wheat health status monitoring in Bloemfontein using Lsat 8 data

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dc.contributor.author Mashaba, Zinhle
dc.contributor.author Chirima, George
dc.contributor.author Botai, Joel Ongego
dc.contributor.author Combrinck, Ludwig
dc.contributor.author Munghemezulu, Cilence
dc.date.accessioned 2017-05-19T09:11:44Z
dc.date.available 2017-05-19T09:11:44Z
dc.date.issued 2016-09
dc.description.abstract Monitoring wheat growth under different weather and ecological conditions is vital for a reliable supply of wheat yield estimations. Remote sensing techniques have been applied in the agricultural sector for monitoring crop biophysical properties and predicting crop yields. This study explored the application of Land Surface Temperature (LST)-vegetation index relationships for winter wheat in order to determine indices that are sensitive to changes in the wheat health status. The indices were derived from Landsat 8 scenes over the wheat growing area across Bloemfontein, South Africa. The vegetation abundance indices evaluated were the Normalised Difference Vegetation Index (NDVI) and the Green Normalised Difference Vegetation Index (GNDVI). The moisture indices evaluated were the Normalised Difference Water Index (NDWI) and the Normalised Difference Moisture Index (NDMI). The results demonstrated that LST exhibited an opposing trend with the vegetation abundance indices and an analogous trend with the moisture indices. Furthermore, NDVI proved to be a better index for winter wheat abundance as compared to the GNDVI. The NDWI proved to be a better index for determining water stress in winter wheat as compared to the NDMI. These results indicate that NDVI and NDWI are very sensitive to LST. These indices can be comprehensive indicators for winter wheat health status. These pilot results prove that LST-vegetation index relationships can be used for agricultural applications with a high level of accuracy. en_ZA
dc.description.department Geography, Geoinformatics and Meteorology en_ZA
dc.description.librarian am2017 en_ZA
dc.description.sponsorship The Agricultural Research Council en_ZA
dc.description.uri http://www.sajg.org.za/index.php/sajg en_ZA
dc.identifier.citation Mashaba, Z, Chirima, G, Botai, J, Combrinck, L & Munghemezulu, C 2016, 'Evaluating spectral indices for winter wheat health status monitoring in Bloemfontein using Lsat 8 data', South African Journal of Geomatics, vol. 5, no. 2, pp. 227-243. en_ZA
dc.identifier.issn 2225-8531
dc.identifier.uri http://hdl.handle.net/2263/60576
dc.language.iso en en_ZA
dc.publisher CONSAS Conference en_ZA
dc.rights CONSAS Conference en_ZA
dc.subject Wheat growth en_ZA
dc.subject Weather en_ZA
dc.subject Land surface temperature (LST) en_ZA
dc.subject Normalised Difference Vegetation Index (NDVI) en_ZA
dc.subject Green Normalised Difference Vegetation Index (GNDVI) en_ZA
dc.title Evaluating spectral indices for winter wheat health status monitoring in Bloemfontein using Lsat 8 data en_ZA
dc.type Article en_ZA


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