THE DETERMINATION OF THE COTTON PRODUCTIVITY AND LOSSES UNDER THE EFFECT OF SALINITY BY USING GEOGRAPHICAL INFORMATION SYSTEM (GIS) AND REMOTE SENSING (RS) GAP Region, Akçakale Sampling, TURKEY
COĞRAFİ BİLGİ SİSTEMİ (CBS) ve UZAKTAN ALGILAMA (UA) İLE TUZLULUĞUN ETKİSİ ALTINDA PAMUKTA VERİM KAYBININ BELİRLENMESİ GAP Bölgesi, Akçakale Örneği, TÜRKİYE.

Author : Murat AYDOĞDU -Mustafa H. AYDOĞDU - Mehmet Ali ÇULLU
Number of pages : 617-630

Abstract

GAP (Southeastern Anatolian Project), is the biggest integrated, multi-sectorial, sustainable regional development project of Turkey. It covers many sectors for development including agriculture and irrigation too. GAP covers nine provinces together with many districts. Akcakale district is one of them, located in Harran plain, and confronted with the problem of salinity because of the high base water level and evaporation rate. Severe levels of salinity is significantly affect the efficiency of the plant yields in some areas. Main crop pattern is cotton in Harran plain beacuse of many reasons. Turkey ranks second after China in the world in cotton imports in 2009 with an amount of 957 000 tons. In this study, from the cotton fields of different salinity levels (0-20 cm depth) were evaluated from the disturbed soil samples. And also Landsat TM satellite image of the region were also taken and studied. Thus, growth of cotton during growing period and the yield of cotton were monitored. At the same time exchange of salt in the soil was monitored, too. In recent years by using remote sensing technologies, yields can be estimated using information from the selected sample areas for the large areas. For this purpose, the study analyzed for different salinity levels and yield values of land have been associated with satellite data. And finally yield of cotton cultivated areas in the Akcakale district calculated according to the effect of salinity and found that 1 840 625 kg of yield losses has been occurred due to salinity and the resulting income loss was 935 711 USD in 2009.

Keywords

GAP, Salinity, Cotton Yield, Satellite Data, NDVI

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