RS
Mehdi feyzolahpour
Abstract
The purpose of this research is to investigate the relationship between LST and LULC in Heyran region. LULC indices consist of normalized difference of vegetation index (NDVI), normalized difference of built-up index (NDBI) and modified normalized difference of water index (MNDWI). The area of the studied ...
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The purpose of this research is to investigate the relationship between LST and LULC in Heyran region. LULC indices consist of normalized difference of vegetation index (NDVI), normalized difference of built-up index (NDBI) and modified normalized difference of water index (MNDWI). The area of the studied area is 156.95 square kilometers, out of which in 1401, about 122.7 square kilometers are dedicated to forest area and only 33.2 square kilometers are dedicated to agricultural land. The values of the MNDWI index in the richest region in 2017 had an area equal to 12.27 square kilometers and faced a sharp decrease in 1401 and reached 1.68 square kilometers. Built-up areas (NDBI) increased until 2017 and decreased significantly until 1401. The maximum land surface temperature (LST) has reached from 35.42 degrees Celsius in 2013 to 39.04 degrees Celsius in 1401. The area with a temperature of 20 to 25 degrees Celsius has increased from 67.9 square kilometers to 124 square kilometers. Finally, Pearson correlation relationships showed that NDVI and MNDWI index had a negative correlation with LST index and there was a positive correlation between LST index and NDBI index. The highest positive correlation of 0.77 between LST and NDBI belongs to the spring of 2017, and the highest negative correlation of -0.71 belongs to the MNDWI and LST index, which was registered in the fall of 2017.
Alireza Entezari; Abolghasem Amir Ahmadi; Kazem Aliabadi; Maryem Khosravian; Majid Ebrahimi
Volume 3, Issue 8 , December 2016, , Pages 113-139
Abstract
Received: 2015.01.26 Accepted: 2016.11.02 Alireza Entezari[1]* Abolghasem Amir-Ahmadi[2] Kazem Aliabadi[3] Maryam Khosravian[4] Majid Ebrahimi[5] Abstract Land surface temperature estimated to cater to the wide range of remote sensing, lack of monitoring and limited meteorological stations. With regard ...
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Received: 2015.01.26 Accepted: 2016.11.02 Alireza Entezari[1]* Abolghasem Amir-Ahmadi[2] Kazem Aliabadi[3] Maryam Khosravian[4] Majid Ebrahimi[5] Abstract Land surface temperature estimated to cater to the wide range of remote sensing, lack of monitoring and limited meteorological stations. With regard to the monitoring of land surface temperature in a limited number of weather stations as part of the need for broad distribution across the surface temperature at the same time, land surface temperature was calculated. Parishan lake because of the proximity to the metropolis of Shiraz shows the temperature and humidity play an important moderating role in this city. Drought in recent decades and the subsequent reduction in the water level of the lake has had adverse effects on the surrounding areas, especially in Shiraz temperature and humidity. The purpose of this research is to estimate land surface temperature using SEBAL (SEBAL) (modified surface energy algorithm for land) in Parishan Basin and relationship with land use / cover (LULC). For this purpose, use ETM+ images from 2000 and 2013 and after the various stages processing of image to extract the land use plans based on support vector machine (SVM) was developed during a period of 13 years. By applying SEBAL algorithm on satellite images was prepared heat map. For this purpose implement this method, was calculated the thermal radiance corrected (Rc), the emissivity of the surface of the thermal band (ε), spectral radiance (Lλ), the reflectance of each band (ρλ) and surface albedo (α). The results of this study showed the most of that land use changes in the use of the lake there is about was destroyed 35/97% of the lakes in the course of 13 years and much of it have land use changes uncultivated land and agricultural. In addition, increased desertification and loss of vegetation, it affects increasing land surface temperature (LST). The highest temperature (LST) is evident in the salt marsh and bare rock outcrops are considerable with the passing years and the increasing temperature. The results have been applied in the study of natural resources protection and can be helpful natural resource conservation programs. [1]- Department of Geomorphology and Climatology, Hakim Sabzevari University, Sabzevar (Corresponding Autor),Email:entezari@hsu.ac.ir. [2]- MS.c of Remote Sensing and GIS, Coach of Hakim Sabzevari University, Sabzevar. [3]- MSc Student of Applied Climatology, Hakim Sabzevari University, Sabzevar. [4]- MSc Student of Applied Climatology, Hakim Sabzevari University, Sabzevar. [5]- Ph.D Student of Geomorphology, Hakim Sabzevari University, Sabzevar.
