Abstract
Abstract. In this study, the trend of vegetation dynamics in Kermanshah city assessed using NDVI MOD13Q1 product over the time period of 2000–2017. Based on time series imagery the pick of vegetation phenology stage (maximum NDVI) identified, then the trend of vegetation dynamic was investigated using the Ordinary Least Square regression and the Theil-Sen approaches. To generate a pixel-wise trend map, a pixel-based vegetation dynamics was also implemented. A non-parametric Mann-Kendall statistics approach was used to examine a statistically significant trend analysis. The mean maximum NDVI observed for the first half or second half of April. Trend analysis using regression and Theil-Sen methods indicated a no-trend in vegetation fractions. The pixel-based trend assessment using regression showed that a 50% of the study area faced a positive trend and reaming part faced a negative trend. The Theil-Sen method revealed the no-trend for a large majority of area. The Mann-Kendall test indicated that only 20 percent of the area shows a statistically significant trend.
Highlights
Urban green spaces play a vital role in creating the proper living conditions and activities for urban communities with diverse environmental, social, cultural, economic, and aesthetic functions
In order to focus on the highest phenological period, we used only the normalized difference vegetation index (NDVI) dataset captured over the spring season
According to the figure 3 the results of the mean NDVI trend analysis using the least squares regression and the Theil-Sen approaches showed almost no-trend with a slope of zero
Summary
Urban green spaces play a vital role in creating the proper living conditions and activities for urban communities with diverse environmental, social, cultural, economic, and aesthetic functions. Vegetation covers, similar to other ecosystem components, are interacting with their biological and non-biological agents over time, and rarely remain unchanged (Yang et al, 2012; De Jong et al, 2013). Vegetation changes act as a driver for changing habitat and cause disturbance in ecosystem conditions and performances. One of the most important issues in the environmental topics is changing in vegetation condition (Rannow and Neubert, 2014). Detecting and evaluating of vegetation changes as a key step in determining the driver forces and recognizing the mechanism of change with the aim of ensuring sustainable management and optimal use of essential resources are critical (Abbas Zadeh Tehrani and Saberi, 2013; Arakhy, 2012). It is important to mention that, in this study we focused on the vegetation dynamics that can be caused by climatic changing or environmental factors
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