Arid
DOI10.1007/s13157-017-0957-6
Change Detection of Land Surface Temperature (LST) and some Related Parameters Using Landsat Image: a Case Study of the Ebinur Lake Watershed, Xinjiang, China
Zhang, Fei1,2,3; Kung, Hsiangte4; Johnson, Verner Carl5; LaGrone, Bethany Iris4; Wang, Juan1,2
通讯作者Zhang, Fei
来源期刊WETLANDS
ISSN0277-5212
EISSN1943-6246
出版年2018
卷号38期号:1页码:65-80
英文摘要

This study assesses and detects land use/cover (LUC) and land surface temperature (LST) change using multi-temporal Landsat TM satellite data. NDVI, albedo and MNDWI were used to analyze the LST qualitatively. The results revealed that the accuracy of LST measurements in watershed is within 1.5 A degrees C. Then, temperature changes between 1998 and 2011 were analyzed. The classifications of land surface temperatures lie in five categories as follows: lower (1.9-8.9 A degrees C), low (8.9-15.9 A degrees C), middle (15.9-22.9 A degrees C), high (22.9-29.9 A degrees C), higher (29.9-36.9 A degrees C), and highest (36.9-43.9 A degrees C). Second, east-west profiles of the characteristics of the distribution of LUC types were made based on 1998 and 2011 images. By comparing LSTs in these two years, one can conclude woodland-grassland has a very strong influence on temperature. Third, LST increased with the increases in the density of salinized and desert lands, but decreased with the increase in vegetation cover. The relationship between MNDWI and LST was significantly negatively correlated. Multiple regression analyses between LST and each index as well as elevation were created to evaluate the watershed thermal environment. This regression showed that NDVI, albedo, MNDWI and a digital elevation model were effective indicators for quantifying the effects of land use/cover change (LUCC) on LST, and the correlation coefficient R was 0.806. Finally, natural and human factors were important factors affecting temperature change. Generally, the temperature of the oasis was lower than the surroundings, which results in a ’cold island effect’.


英文关键词Ebinur Lake watershed Land surface temperature Mono-window algorithm Remote sensing TM image
类型Article
语种英语
国家Peoples R China ; USA
收录类别SCI-E
WOS记录号WOS:000425634800006
WOS关键词MONO-WINDOW ALGORITHM ; REMOTE-SENSING DATA ; URBAN HEAT-ISLAND ; VEGETATION COVER ; NORTHWEST CHINA ; CLIMATE-CHANGE ; ENVIRONMENT ; GENERATION ; RETRIEVAL ; SATELLITE
WOS类目Ecology ; Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构新疆大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/213736
作者单位1.Xinjiang Univ, Resources & Environm Dept, Urumqi 830046, Peoples R China;
2.Xinjiang Univ, Key Lab Oasis Ecol, Minist Educ, Urumqi 830046, Peoples R China;
3.Key Lab Xinjiang Wisdom City & Environm Modeling, Urumqi 830046, Peoples R China;
4.Univ Memphis, Dept Earth Sci, Memphis, TN 38152 USA;
5.Colorado Mesa Univ, Dept Phys & Environm Sci, Grand Junction, CO 81501 USA
推荐引用方式
GB/T 7714
Zhang, Fei,Kung, Hsiangte,Johnson, Verner Carl,et al. Change Detection of Land Surface Temperature (LST) and some Related Parameters Using Landsat Image: a Case Study of the Ebinur Lake Watershed, Xinjiang, China[J]. 新疆大学,2018,38(1):65-80.
APA Zhang, Fei,Kung, Hsiangte,Johnson, Verner Carl,LaGrone, Bethany Iris,&Wang, Juan.(2018).Change Detection of Land Surface Temperature (LST) and some Related Parameters Using Landsat Image: a Case Study of the Ebinur Lake Watershed, Xinjiang, China.WETLANDS,38(1),65-80.
MLA Zhang, Fei,et al."Change Detection of Land Surface Temperature (LST) and some Related Parameters Using Landsat Image: a Case Study of the Ebinur Lake Watershed, Xinjiang, China".WETLANDS 38.1(2018):65-80.
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