A Remotely Sensed Assessment of Surface Ecological Change over the Gomishan Wetland, Iran

被引:68
|
作者
Qureshi, Salman [1 ]
Alavipanah, Seyed Kazem [2 ]
Konyushkova, Maria [3 ]
Mijani, Naeim [2 ]
Fathololomi, Solmaz [4 ]
Firozjaei, Mohammad Karimi [2 ]
Homaee, Mehdi [5 ]
Hamzeh, Saeid [2 ]
Kakroodi, Ata Abdollahi [2 ]
机构
[1] Humboldt Univ, Inst Geog, Rudower Chaussee 16, D-12489 Berlin, Germany
[2] Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Tehran 1417853933, Iran
[3] Lomonosov Moscow State Univ, Dept Soil Geog, Moscow 119991, Russia
[4] Univ Mohaghegh Ardabili, Fac Agr & Nat Resources, Ardebil 5619913131, Iran
[5] Tarbiat Modares Univ, Dept Irrigat & Drainage, Tehran 14115336, Iran
基金
俄罗斯基础研究基金会; 美国国家科学基金会;
关键词
urban ecosystem; urban ecology; wetlands; spatiotemporal variations; Landsat images; MODIS products; ECOSYSTEM SERVICES; INDEX; CITY; VEGETATION; INTENSITY; HOTSPOTS;
D O I
10.3390/rs12182989
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to the excessive use of natural resources in the contemporary world, the importance of ecological and environmental condition modeling has increased. Wetlands and cities represent the natural and artificial strategic areas that affect ecosystem conditions. Changes in the ecological conditions of these areas have a great impact on the conditions of the global ecosystem. Therefore, modeling spatiotemporal variations of the ecological conditions in these areas is critical. This study was aimed at comparing degrees of variation among surface ecological conditions due to natural and unnatural factors. Consequently, the surface ecological conditions of Gomishan city and Gomishan wetland in Iran were modeled for a period of 30 years, and the spatiotemporal variations were evaluated and compared with each other. To this end, 20 Landsat 5, 7, and 8, and 432 Moderate Resolution Imaging Spectroradiometer (MODIS), monthly land surface temperature (LST) (MOD11C3) and normalized difference vegetation index (NDVI) (MOD13C3) products were utilized. The surface ecological conditions were modeled according to the Remote Sensing-based Ecological Index (RSEI), and the spatiotemporal variation of the RSEI values in the study area (Gomishan city, Gomishan wetland) were evaluated and compared with each other. According to MODIS products, the mean of the LST and NDVI variance values for the study area (Gomishan city, Gomishan wetland) were obtained to be 6.5 degrees C (2.1, 12.1) and 0.009 (0.005, 0.013), respectively. The highest LST and NDVI temporal variations were found for Gomishan wetland near the Caspian Sea. According to Landsat images, Gomishan wetland and Gomishan city have the highest and lowest temporal variations in surface biophysical characteristics, respectively. The mean RSEI for the study area (Gomishan city, Gomishan wetland) was 0.43 (0.65, 0.29), respectively. Additionally, the mean Coefficient of Variation (CV) of RSEI for the study area (Gomishan city, Gomishan wetland) was 0.10 (0.88, 0.51), respectively. The surface ecological conditions of Gomishan city were worse than those of the Gomishan wetland at all dates. Temporal variations in the surface ecological conditions of Gomishan wetland were greater than those of the study area and Gomishan city. These results can provide useful and effective information for environmental planning and decision-making to improve ecological conditions, protect the environment, and support sustainable ecosystem development.
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页数:24
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