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Year 2020, Volume: 2 Issue: 1, 24 - 28, 01.06.2020

Yunus Kaya Nizar Polat

Abstract

References

  • Chandel, N. S., Tiwari, P. S., Singh, K. P., Jat, D., Gaikwad, B. B., Tripathi, H. ve Golhani, K., (2019). Yield prediction in wheat (Triticum aestivum L.) using spectral reflectance indices. Current Scıence, Vol. 116, No. 2.
  • Çatal Reis, H., Bayram, B., (2015). Landsat Uydu Görüntüleri Kullanılarak Kontrolsüz Sınıflandırma Yöntemi ile Bitki Örtüsü Değişimi: Konya Yunak Örneği. 15.Türkiye Harita Bilimsel ve Teknik Kurultayı, Ankara, Türkiye.
  • Esetlili, M.T., Özen, F., Akyürek, B.N., Kurucu, Y., & Bolca, M., (2015). Uzaktan Algılama Tekniği ile Pamuk Tarla Verimi Tahmin Doğruluğunun Arttırılmasında Kırmızı Kenar (Rededge) Band Kullanımının Katkısı. Journal of Agriculture Faculty of Ege University, Vol.52(2), p:161-169.
  • Kayahan, N., (2013). Uzaktan algılama kullanılarak silajlık mısır veriminin tahminlenmesi. Master’s Thesis, Konya, Turkey.
  • Sönmez, N.K., Sarı, M. (2005). Verim Tahmini Çalışmalarında Yeni Yaklaşımlar, Uzaktan Algılama ve Agrometeorolojik Yöntemler, Derim, 21(2), 5-18.
  • Yılmaz, H.M., Mutluoğlu, Ö., Ulvi, A., Yaman, A., & Bilgilioğlu, S.S. (2018). İnsansız Hava Aracı ile Ortofoto Üretimi ve Aksaray Üniversitesi Kampüsü Örneği. Geomatik Journal 2018; 3(2);103-110.
  • URL 1: http://tuik.gov.tr (Last access: 13.04.2019)
  • URL 2: https://earthexplorer.usgs.gov/ (Last access: 13.04.2019)
  • URL 3: https://scihub.copernicus.eu/dhus/#/home (Last access: 13.04.2019)

INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX

Year 2020, Volume: 2 Issue: 1, 24 - 28, 01.06.2020

Yunus Kaya Nizar Polat

Abstract

Agriculture has a significant place in our country's economy because of its ecology and climatic conditions suitable for agriculture and having rich lands. Among the agricultural products in Turkey, the most produced crop is wheat. Therefore, wheat has a significant contribution to the national economy and food resource. Today, due to the rapid growth of the population in the global and regional scale and the insufficiency of agricultural areas, it has become very important to obtain maximum efficiency in the existing agricultural areas. For this reason, it is necessary to monitor and record the phenological stages of agricultural plants. At this point, multi-band satellite images provide serious convenience during the collection and analysis of the necessary data. In this study, the phenological stages of the cultivated wheat plants were investigated in the General Directorate of Agricultural Enterprises located in the Ceylanpınar district of Şanlıurfa province. In this context, using the data of Landsat-8 and Sentinel-2A multi-band satellite data for 2017 and 2018, the vegetation index for phenological stages were examined.

Keywords

Agriculture Wheat Remote sensing Satellite Data Vegetation Index

References

  • Chandel, N. S., Tiwari, P. S., Singh, K. P., Jat, D., Gaikwad, B. B., Tripathi, H. ve Golhani, K., (2019). Yield prediction in wheat (Triticum aestivum L.) using spectral reflectance indices. Current Scıence, Vol. 116, No. 2.
  • Çatal Reis, H., Bayram, B., (2015). Landsat Uydu Görüntüleri Kullanılarak Kontrolsüz Sınıflandırma Yöntemi ile Bitki Örtüsü Değişimi: Konya Yunak Örneği. 15.Türkiye Harita Bilimsel ve Teknik Kurultayı, Ankara, Türkiye.
  • Esetlili, M.T., Özen, F., Akyürek, B.N., Kurucu, Y., & Bolca, M., (2015). Uzaktan Algılama Tekniği ile Pamuk Tarla Verimi Tahmin Doğruluğunun Arttırılmasında Kırmızı Kenar (Rededge) Band Kullanımının Katkısı. Journal of Agriculture Faculty of Ege University, Vol.52(2), p:161-169.
  • Kayahan, N., (2013). Uzaktan algılama kullanılarak silajlık mısır veriminin tahminlenmesi. Master’s Thesis, Konya, Turkey.
  • Sönmez, N.K., Sarı, M. (2005). Verim Tahmini Çalışmalarında Yeni Yaklaşımlar, Uzaktan Algılama ve Agrometeorolojik Yöntemler, Derim, 21(2), 5-18.
  • Yılmaz, H.M., Mutluoğlu, Ö., Ulvi, A., Yaman, A., & Bilgilioğlu, S.S. (2018). İnsansız Hava Aracı ile Ortofoto Üretimi ve Aksaray Üniversitesi Kampüsü Örneği. Geomatik Journal 2018; 3(2);103-110.
  • URL 1: http://tuik.gov.tr (Last access: 13.04.2019)
  • URL 2: https://earthexplorer.usgs.gov/ (Last access: 13.04.2019)
  • URL 3: https://scihub.copernicus.eu/dhus/#/home (Last access: 13.04.2019)
There are 9 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Yunus Kaya 0000-0003-2319-4998

Nizar Polat 0000-0002-6061-7796

Publication Date June 1, 2020
Published in Issue Year 2020 Volume: 2 Issue: 1

Cite

APA Kaya, Y., & Polat, N. (2020). INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX. Mersin Photogrammetry Journal, 2(1), 24-28.
AMA Kaya Y, Polat N. INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX. MEPHOJ. June 2020;2(1):24-28.
Chicago Kaya, Yunus, and Nizar Polat. “INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX”. Mersin Photogrammetry Journal 2, no. 1 (June 2020): 24-28.
EndNote Kaya Y, Polat N (June 1, 2020) INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX. Mersin Photogrammetry Journal 2 1 24–28.
IEEE Y. Kaya and N. Polat, “INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX”, MEPHOJ, vol. 2, no. 1, pp. 24–28, 2020.
ISNAD Kaya, Yunus - Polat, Nizar. “INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX”. Mersin Photogrammetry Journal 2/1 (June 2020), 24-28.
JAMA Kaya Y, Polat N. INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX. MEPHOJ. 2020;2:24–28.
MLA Kaya, Yunus and Nizar Polat. “INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX”. Mersin Photogrammetry Journal, vol. 2, no. 1, 2020, pp. 24-28.
Vancouver Kaya Y, Polat N. INVESTIGATION OF PHENOLOGICAL STAGES OF WHEAT PLANT USING VEGETATION INDEX. MEPHOJ. 2020;2(1):24-8.
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