AN EXAMINATION OF RELATIONSHIP BETWEEN VEGETATION AND RAINFALL IN AHIR MOUNT (KAHRAMANMARAŞ) USING MODIS NDVI DATA (2000-2010)

  • Mehmet Ali Çelik
  • Murat Karabulut
Keywords: Ahır Mount, Vegetation, MODIS NDVI, Remote Sensing, Rainfall

Abstract

Collecting information about vegetation on a regular basis is important issue. It is very difficult to study vegetation on a regular basis for large areas, because of huge volume of data coming from traditional methods. On the other hand, remote sensing techniques offer reliable data with less time and labor force.  In Turkey vegetation studies have been done by using manual methods which require more labor and money. These studies also do not include continuous data, thus results commonly do not cover whole area and space.  In contrast,  remote sensing techniques remove all those disadvantages of manual methods. In remote sensing there are several methods to study vegetation status. Normalized Difference Vegetation Index (NDVI) is the most used technique. In this study we used MODIS NDVI data with  spatial (250 m) and temporal resolution (daily).  The aim of the study is to examine relationships between rainfall and NDVI on Ahır Dağ which is located in the north of city of Kahramanmaraş. Several statistical techniques such as correlation, regression and mann kendall have been

used to examine vegetation. Results showed that there is a significant relationship between rainfall and vegetation biomass production. Especially three-months cumulative rainfall total represent significant relationship.

References

[1] Box, E., Holben, B. N., & Kalb, V. (1989). "Accuracy of AVHRR Vegetation Index as a Predictor of Biomass, Primary Productivity CO² Flux." Vegetation, 71-89.
[2] Davenport, M. L., & Nicholson, S. E. (1993). On the Relation Between Rainfall and Normalized Difference Vegetation Indeks for Diverse Vegetation Types in East Africa. International Journal of Remote Sensing , 14 (12), 2369-2389.
[3] Eidenshink, J. C., & Faudeen, J. L. (1994). The 1-km AVHRR Global Land Data Set: First Stages in Implementation. International Journal of Remote Sensing (15), 3443–3462.
[4] Huete, A., Leeuwen, W. V., & Justice, C. (1999). MODIS Vegetatıon Index (MOD13) Algorithm Theoretical Basis Document. Arizona.
[5] Karabulut, M. (2003). An Examination of Relationships Between Vegetation and Rainfall Using Maximum Value Composite AVHRR-NDVI Data. Turkish Journal of Botanic (27), 93-101.
[6] Karabulut, M. (2002). Ekstrem İklim Koşulları ile Bitki Örtüsü Arasındaki İlişkilerin Uzaktan Algılama Yöntemleri ile İncelenmesi. Klimatoloji Çalıştayı 2002 (s. 49-59). İzmir: Ege Üniversitesi.
[7] Karabulut, M. (2006). NOAA AVHRR Verilerini Kullanarak Türkiye'de Bitki Örtüsünün İzlenmesi ve İncelenmesi. Coğrafi Bilimler Dergisi.
[8] Karabulut, M., & Cosun, F. (2009). Kahramanmaraş İlinde Yağışların Trend Analizi. Coğrafi Bilimler Dergisi, 7 (1), 65-83.
[9] Mao, D., Wang, Z., Luo, L., & Ren, C. (2011). Integrating AVHRR and MODIS Data to Monitor NDVI Changes and their Relationship with Climatic Parameters in Northeast China. International Journal of Applied Earth Observation and Geoinformation, 1.
[10] Zhi, W. S. (2011). The Relationship of Vegetation Greeness Period and Climate Precipition Change in the North-South Transect of Easthern China. Procedia Environmental Sciences 10, 282-288.
Published
2013-01-21
How to Cite
[1]
M. Çelik and M. Karabulut, “AN EXAMINATION OF RELATIONSHIP BETWEEN VEGETATION AND RAINFALL IN AHIR MOUNT (KAHRAMANMARAŞ) USING MODIS NDVI DATA (2000-2010)”, JAST, vol. 6, no. 1, pp. 123-133, Jan. 2013.
Section
Articles