تحلیل فضایی مخاطرات محیطی

تحلیل فضایی مخاطرات محیطی

برآورد دمای سطح زمین (LST) و مقایسه آن با شاخص های NDMI، NDWI و NDVI به منظور بررسی تنش آبی با تاکید بر تغییرات کاربری اراضی (LULC) در سیستم ماشین بردار پشتیبانی(SVM) (منطقه مورد مطالعه: تالاب انزلی)

نویسنده
مهدی فیض اله پور
دانشگاه زنجان
10.61186/jsaeh.10.2.131
چکیده
دمای سطح زمین پارامتر مهمی در مطالعات بیوسفر، یخ کره و تغییرات آب و هوایی به شمار می رود. در این تحقیق با بهره گیری از سنجه OLI و TIRS ماهواره لندست 8، مقادیر LST، NDVI، NDMI و NDWI برای منطقه تالاب انزلی محاسبه گردید. بررسی ها نشان داد که حداقل دمای LST برای سال های 2013، 2018 و 2023 به ترتیب معادل 94/13، 36/22 و 6/14 بوده و حداکثر مقادیر آن برای همین سال‌ها به ترتیب معادل 7/35، 58/40 و 6/31 درجه سانتیگراد برآورد شده است. وضعیت پوشش گیاهی، دسترسی به منابع آبی و تنش آبی برای منطقه مورد مطالعه با شاخص های NDVI، NDWI و NDMI برآورد گردید. برای برآورد این شاخص ها از باندهای 3، 4، 5، 6 و 10 ماهواره لندست8 استفاده شد. مقادیر حاصله با مقادیر LST مقایسه گردید. نمودارهای پراکنش نشان می دهند که بیشترین همبستگی منفی بین LST و NDMI به میزان 65/0- برقرار بوده و بیشترین همبستگی مثبت بین شاخص های NDWI و LST به میزان 23/0 برقرار می باشد. در کل بررسی ها نشان داده است که بین دو شاخص NDMI و NDVI با شاخص LST رابطه همبستگی منفی برقرار بوده است. برای بررسی تغییرات کاربری اراضی(LULC) نیز از روش ماشین بردار پشتیبانی(SVM) استفاده شد. نتایج نشان داد که در منطقه مورد مطالعه که از وسعتی معادل 81/686 کیلومتر مربع برخوردار است زمین های کشاورزی با گسترش قابل توجهی روبرو بوده و از 329 کیلومتر مربع در سال 2013 به 7/487 کیلومتر مربع رسیده است. در این بین پهنه های جنگلی با کاهش شدیدی مواجه شده و از 8/34 کیلومتر مربع به 73/1 کیلومتر مربع کاهش یافته اند.
کلیدواژه‌ها
LST
NDWI
NDMI
NDVI
کاربری اراضی
تالاب انزلی

عنوان مقاله English

Estimating land surface temperature (LST) and comparing it with NDMI, NDWI and NDVI indices in order to investigate water stress with an emphasis on land use changes (LULC) in the support vector machine (SVM) system (study area: Anzali wetland)

نویسنده English

mehdi feyzolahpour
Assistant Professor of Geomorphology, Zanjan University, Zanjan, Iran
چکیده English

Earth's surface temperature is considered an important parameter in biosphere, ice globe and climate change studies. In this research, LST, NDVI, NDMI and NDWI values were calculated for the Anzali wetland area using the OLI and TIRS measurements of the Landsat 8 satellite. Investigations showed that the minimum LST temperature for the years 2013, 2018 and 2023 was equal to 13.94, 22.36 and 14.6, respectively, and its maximum values for these years were equal to 35.7, 40.58 and 31.6. 31.6 degrees Celsius is estimated respectively. Vegetation status, access to water resources and water stress for the study area were estimated with NDVI, NDWI and NDMI indices. Bands 3, 4, 5, 6 and 10 of Landsat 8 satellite were used to estimate these indicators. The obtained values were compared with LST values. The distribution charts show that the highest negative correlation between LST and NDMI is established at the rate of -0.65 and the highest positive correlation between the NDWI and LST indices is established at the rate of 0.23. In general, the investigations have shown that there is a negative correlation between the NDMI and NDVI indices with the LST index. The Support Vector Machine (SVM) method was also used to investigate land use changes (LULC). The results showed that in the studied area, which has an area of 686.81 square kilometers, agricultural lands have faced significant expansion and reached 487.7 square kilometers from 329 square kilometers in 2013. In the meantime, forest areas have faced a sharp decrease and have decreased from 34.8 square kilometers to 1.73 square kilometers.

کلیدواژه‌ها English

LST
NDWI
NDMI
NDVI
Land use
Anzali wetland
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تحلیل فضایی مخاطرات محیطی
دوره 10، شماره 2 - شماره پیاپی 38
تابستان 1402
صفحه 131-148