جستجوی مقالات مرتبط با کلیدواژه « Blue Zones » در نشریات گروه « علوم انسانی »

Water resources are one of the most important components of land life and sustainable development. In the present study, the study of time series changes in the area of ​​Jazmourian Playa water areas, using the surface reflection data of Landsat 8 satellite from 2013 to 2019, was considered and the Modified Normalized Water Difference Index (MNDWI) was used to separate the water areas on the images. Then the trend of changes in the area of ​​water areas was estimated. All of these processes and satellite image analysis were performed in the Google Earth Engine software environment, which is a web and open source system for performing spectral and radiometric analyzes on satellite images. ArcGIS 10.5 software was also used to prepare spatial maps. . Findings showed that the area of ​​the seasonal lake of Jazmourian Lake is estimated to be 21426 Km based on MNDWI index, approximately 1515 Km based on automatic water extraction index (AWEI) and 1610 Km2 based on water absorption ratio (WRI) index. On the other hand, the analysis of surface water production of Landsat images showed that the highest rate of change was related to temporary seasonal and new seasonal water zones, so that changes in temporary seasonal zones occupied an area of ​​about 11245 km2 and new seasonal surface zones about 35355 km2. Is. Jazmourian plain water intake is related to the occurrence of seasonal floods and increased rainfall in the basin, so that a high correlation (R2 = 0.89) between the annual rainfall of the basin and the increase in the area of ​​water areas resulting from the MNDWI index has been observed.

The ability of a system to detect changes depends on its capacity to estimate variables on a scale. In any case, observing changes at successive times is the first step towards identifying the active processes and change forces. The assessment of land use change and land cover has been considered as one of the main techniques of assessing environmental changes and has played a major role in environmental planning. Vegetation change and land use due to human activities are among important issues in regional and developmental planning. Given the advantages and capabilities of satellite data, this technology can help identify and discover these changes. In this research, the investigation of the land cover change of the Lake Urmia basin was based on the use of the MODIS Annual Coverage (MCD12Q1) with the HDF format and spatial resolution of 500 m. These images were categorized as Type I with 17 classes of land cover. Then, the image was taken annually by the mask region border and a geometric correction which Converted to UTM system Through entering the annual descriptive information tables into the Excel software, the change trend of land cover area was estimated between the years 2005 and 2016. The review of Tables 2 and 3 showed that there were significant variations in coverage over the period of 2005 to 2016. The area of the water zones had been declining since 2009. The grasslands had a relatively stable area between 2005 and 2015 and showed a decreasing trend over the last two years. Urban coverage during this period had not changed much, and the population growth seemed to be moderated by increasing urban densities. Between 2009 and 2014, water level changes were steeper than they were in previous years. In addition, since 2014, the slope had become even more intense. The area of the water zones in 2008 had a slight and noticeable decline compared to its following and preceding years. According to the MODIS image information, the proportion of land area and water zones in 2016, compared to 2005, were respectively 1.39 and 0.69. Between 2005 and 2016, the greatest increase in the area of use was related to agricultural land and solid or dense floor coverings, respectively with an increase of 1648 and 837.  The greatest reduction in the use of the area was related to water zones and desert cover, respectively with decreasing 1383 and 1159 km2. The results of the research showed that satellite images ha high potential for rapid decoupling of agricultural land, the preparation of map of different types of crops in the region, and determining under cultivation with a relatively accurate accuracy in a regional scale.