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Year 2020, Volume: 4 Issue: 3, 130 - 134, 28.09.2020

Abstract

Thanks

Eskişehir Teknik Üniversitesi İnşaat Mühendisliği Hidrolik Bölümü'nden Prof. Dr. Mustafa Tombul'a bize destek ve yardımlarından dolayı teşekkür ederiz.

References

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  • Seiler, R.A., Kogan, F., Sullivan, J., AVHRR-based vegetation and temperature condition indices for drought detection in Argentina. Adv. Space Res. , 1998. 21: p. 481–484.
  • Nicholson, S.E., Farrar, T.J., The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana: I. NDVI response to rainfall. . Remote Sens. Environ. , 1994. 50: p. 107–120.
  • Kogan, F.N., Application of vegetation index and brightness temperature for drought detection. Adv. Space Res., 1995. 15: p. 91–100.
  • Kogan, F.N., Global drought watch from space. Bulletin of the American Meteorological Society, 1997.
  • Kavak, K.Ş., Uzaktan Algılamanın Temel Kavramları ve Jeolojideki Uygulama Alanları. Jeoloji Muhendisliği Dergisi, 1998. 52: p. 63-74.
  • B. Bulut, M.T.Y., Türkiye’deki 2007 ve 2013 Yılı Kuraklıklarının NOAH Hidrolojik Modeli ile İncelenmesi. Tek.Dergi., 2016. 27: p. 7619–7634.
  • Güneş, A., Bilgisayar Programlarının Program Geliştirme Deneyimi Kazanmalarında Karar Tablolarının Kullanımı. İstanbul Aydın Üniversitesi Dergisi, 2009 1(2): p. 80-93.
  • Tarım ve Orman Bakanlığı, Asi ve Seyhan Havzaları Taşkın Yönetim Planının Hazırlanması Projesi. Seyhan Havzası Taşkın Yönetim Planı Stratejik Çevresel Değerlendirme Taslak Kapsam Belirleme Raporu, 2019.
  • Solano, R.D., K.; Jacobson, A.; Huete, A., MODIS Vegetation Index User’s Guide (MOD13 Series); Version 2.0; Vegetation Index and Phenology Lab. The University of Arizona: Tucson, AZ, USA, 2010: p. 1-38.
  • Didan, K.M., A.B.; Solano, R.; Huete, A., MODIS Vegetation Index User’s Guide (MOD13 Series); Version 3.0. University of Arizona: Tucson, AZ, USA., 2015.
  • Mary Pax Lenney, C.E.W., John B.Collins , Hassan Hamdi, The status of agricultural lands in Egypt: The use of multitemporal NDVI features derived from landsat TM. Remote Sensing of Environment, 1996. 56: p. 8-20.
  • Peters AJ, W.-S.E., Ji L, Vina A, Hayes M, Svoboda MD., Drought monitoring with NDVI-based standardized vegetation index. Photogram Eng Remote Sens, 2002. 68: p. 71-75.
  • Gadisso, B.E., Drought Assessment for the Nile Basin using Meteosat Second Generation data with special emphasis on the upper blue nile region. International Institute For Geo-information Science and Earth Observation Enschede, The Netherlands, March, 2007.
  • V. D. Yulistya, A.W., E. Kusratmoko, Assessment of agricultural drought in paddy field area using Vegetation Condition Index (VCI) in Sukaresmi District, Cianjur Regency. IOP Conference Series: Earth and Environmental Science, 2019. 311.

Drought Monitoring Based On Satellite Data Of Seyhan Basin

Year 2020, Volume: 4 Issue: 3, 130 - 134, 28.09.2020

Abstract

The occurrence of drought is mainly a climatic phenomenon which cannot be eliminated. However, its effects can be reduced if actual spatio-temporal information related to crop status is available to the decision makers. In this study, it is tried to evaluate the effectiveness of remote sensing and geographic information system techniques in order to monitor the spatial-temporal dimension of drought. This study covers the period from July 27 to August 11, 2014-2019. This study was carried out considering the vegetation changes of the Seyhan Basin between July and August. VCI (Vegetation Condition Index) drought monitoring was performed using 16-day NDVI time series and land cover maps. In this study, NDVI (Normalized Difference Vegetation Index) based equations developed by Kogan were used in drought monitoring. In the result 27 July-11 August 2014 was observed drought than other periods.

References

  • Brown, J.F., Wardlow, B.D., Tadesse, T., Hayes, M.J., Reed, B.C, The Vegetation Drought Response Index (VegDRI): a new integrated approach for monitoring drought stress in vegetation. GISc. Remote Sens., 2008. 45: p. 16–46.
  • Seiler, R.A., Kogan, F., Sullivan, J., AVHRR-based vegetation and temperature condition indices for drought detection in Argentina. Adv. Space Res. , 1998. 21: p. 481–484.
  • Nicholson, S.E., Farrar, T.J., The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana: I. NDVI response to rainfall. . Remote Sens. Environ. , 1994. 50: p. 107–120.
  • Kogan, F.N., Application of vegetation index and brightness temperature for drought detection. Adv. Space Res., 1995. 15: p. 91–100.
  • Kogan, F.N., Global drought watch from space. Bulletin of the American Meteorological Society, 1997.
  • Kavak, K.Ş., Uzaktan Algılamanın Temel Kavramları ve Jeolojideki Uygulama Alanları. Jeoloji Muhendisliği Dergisi, 1998. 52: p. 63-74.
  • B. Bulut, M.T.Y., Türkiye’deki 2007 ve 2013 Yılı Kuraklıklarının NOAH Hidrolojik Modeli ile İncelenmesi. Tek.Dergi., 2016. 27: p. 7619–7634.
  • Güneş, A., Bilgisayar Programlarının Program Geliştirme Deneyimi Kazanmalarında Karar Tablolarının Kullanımı. İstanbul Aydın Üniversitesi Dergisi, 2009 1(2): p. 80-93.
  • Tarım ve Orman Bakanlığı, Asi ve Seyhan Havzaları Taşkın Yönetim Planının Hazırlanması Projesi. Seyhan Havzası Taşkın Yönetim Planı Stratejik Çevresel Değerlendirme Taslak Kapsam Belirleme Raporu, 2019.
  • Solano, R.D., K.; Jacobson, A.; Huete, A., MODIS Vegetation Index User’s Guide (MOD13 Series); Version 2.0; Vegetation Index and Phenology Lab. The University of Arizona: Tucson, AZ, USA, 2010: p. 1-38.
  • Didan, K.M., A.B.; Solano, R.; Huete, A., MODIS Vegetation Index User’s Guide (MOD13 Series); Version 3.0. University of Arizona: Tucson, AZ, USA., 2015.
  • Mary Pax Lenney, C.E.W., John B.Collins , Hassan Hamdi, The status of agricultural lands in Egypt: The use of multitemporal NDVI features derived from landsat TM. Remote Sensing of Environment, 1996. 56: p. 8-20.
  • Peters AJ, W.-S.E., Ji L, Vina A, Hayes M, Svoboda MD., Drought monitoring with NDVI-based standardized vegetation index. Photogram Eng Remote Sens, 2002. 68: p. 71-75.
  • Gadisso, B.E., Drought Assessment for the Nile Basin using Meteosat Second Generation data with special emphasis on the upper blue nile region. International Institute For Geo-information Science and Earth Observation Enschede, The Netherlands, March, 2007.
  • V. D. Yulistya, A.W., E. Kusratmoko, Assessment of agricultural drought in paddy field area using Vegetation Condition Index (VCI) in Sukaresmi District, Cianjur Regency. IOP Conference Series: Earth and Environmental Science, 2019. 311.
There are 15 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Ali Alkan

Savaş Uğur Temelli

Publication Date September 28, 2020
Published in Issue Year 2020 Volume: 4 Issue: 3

Cite

IEEE A. Alkan and S. U. Temelli, “Drought Monitoring Based On Satellite Data Of Seyhan Basin”, IJESA, vol. 4, no. 3, pp. 130–134, 2020.

ISSN 2548-1185
e-ISSN 2587-2176
Period: Quarterly
Founded: 2016
Publisher: Nisantasi University
e-mail:ilhcol@gmail.com