Investigation of Relationship Between Rainfall and Vegetation Index by Using NOAA/AVHRR Satellite Images

Use of satellite images is known as a new technique to study changes in vegetation cover. On the other hand, rainfall plays a key role on the condition of vegetation cover. This article investigates the changes in vegetation and its relation to rainfall days and monthly time intervals over the (2000-2003) period. The region of study is part of Azerbaijan province located in an area surrounded. Using geo-statistical methods, rainfall maps were generated based on the rain gauges in the data collected by area. Maps of daily Normalized Difference Vegetation index (NDVI) were transformed days images using into day composite technique. By maximum preparing a layer representing terrain-mapping units (TMU), the correlation between vegetation cover and rainfall was investigated in different land units. The results demonstrate varying degree of correlation. Specifically, the correlation in alluvial and flood plains was strongest. Meanwhile, the correlation in monthly time days interval was better compares to interval. The multi-variable regression was also determined as the most suited correlation relationship.