Investigation of arid vegetation compatibility toward precipitation variation with NDVI index (a case study, Ardakan-Aghda plain)

Subject Areas : forest

منیرالسادات  Tabatabaii Zadeh ¹ (دانشجوی دکتری بیابان زدایی، مرکز تحقیقات کشاورزی و منابع طبیعی استان یزد، یزد، ایران)
فاطمه  Hadian ² (کارشناس ارشد مرتعداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، اصفهان، ایران)
S.Z  Hosseini ³ (استادیار دانشکده منابع طبیعی، دانشگاه یزد، یزد، ایران)
جلال  Barkhordari ⁴ (عضو هیئت علمی مرکز تحقیقات کشاورزی و منابع طبیعی استان یزد، یزد، ایران)
حسن  Khosravi ⁵ (استادیار دانشکده منابع طبیعی، دانشگاه تهران، تهران، ایران)

Received: 2013-11-23 Accepted : 2014-06-08 Published : 2014-05-22

Keywords: Correlation, Precipitation, Remote Sensing, Arid,

Abstract :

Drought monitoring is a important management program, but have some limitation as economical, huge and arduous natural areas. Then nowadays have been used satellite images for drought monitoring and management of areas as fastest and low cost method. In this research have been used NOAA satellite images and annual/seasonal precipitation data during 2005-1982 then studied effect of Precipitation on vegetation cover in a part of Yazd province (Ardakan- Aghda area). The 92 precipitation maps have been prepared For determination of precipitation value in every vegetation type by using climate data and classified by distance weighting  interpolation   method. The results show an alone vegetation index could not define vegetation cover of study area that necessary to used multi-regression methods with other climatic factors. Furthermore, this index is not useful for arid area because have very low correlation between INDVI index and precipitation then is necessary to use other indexes and satellite images with more quality.

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