Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/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![]() | |
通讯作者 | Zhang, Fei |
来源期刊 | WETLANDS
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ISSN | 0277-5212 |
EISSN | 1943-6246 |
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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