The investigation of spatiotemporal variations of land surface temperature based, on land use changes using NDVI in southwest of Iran

被引:37
|
作者
Fathizad, Hassan [1 ]
Tazeh, Mandi [2 ]
Kalantari, Saeideh [2 ]
Shojaei, Saeed [1 ]
机构
[1] Yazd Univ, Coll Nat Resources & Desert, Dept Management Arid & Desert Reg, Yazd, Iran
[2] Ardakan Univ, Agr & Nat Resources Dept, Yazd, Iran
关键词
Land surface temperature; Land use; Fuzzy ARTMAP neural network; NDVI; Southwest Iran; EMISSIVITY;
D O I
10.1016/j.jafrearsci.2017.06.007
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Land use changes can bring about changes in land surface temperature (LST) which is influenced by climatic conditions and physical characteristics of the land surface. In this study, spatiotemporal variations of land surface temperature have been investigated in the desert area of Dasht-e-Abbas, Ilam, based on a variety of land use changes. The investigated periods for the study include 1990, 2000 and 2010 using Landsat image data. First, in mapping land use we used the Fuzzy ARTMAP Neural Network Classification method followed by determination of the NDVI Index to estimate land surface temperature. The results show an increase in LST in areas where degradation, land use and land cover changes have occurred. In 1990, 2000 and 2010, the average land surface temperature of the Fair Rangelands was 26.72 degrees C, 30.06 degrees C and 30.95 degrees C, respectively. This rangeland has been reduced by about 5%. For poor rangelands, the average LSTs were 26.95, 32.83 and 34.49 degrees C, respectively which had a 18% reduction. In 1990, 2000 and 2010, the average land surface temperatures of agricultural lands were 24.31 degrees C, 27.87 degrees C and 28.61 degrees C, respectively which has been an increasing trend. The reason can be attributed to changes in cropping patterns of the study area. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:249 / 256
页数:8
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