4.7 Article

Relationship among land surface temperature and LUCC, NDVI in typical karst area

期刊

SCIENTIFIC REPORTS
卷 8, 期 -, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41598-017-19088-x

关键词

-

资金

  1. International cooperation research projects of the national natural science fund committee [41571130074, 41571130042]
  2. Science and technology cooperation projects [2014-3]
  3. Science and Technology Plan of Guizhou Province of China [2012-6015, 2013-3190, 2017-2966]
  4. United Fund of karst science research center [U1612441]
  5. National Key Research Program of China [2016YFC0502300, 2016YFC0502102, 2013CB956700, 2014BAB03B02]

向作者/读者索取更多资源

Land surface temperature (LST) can reflect the land surface water-heat exchange process comprehensively, which is considerably significant to the study of environmental change. However, research about LST in karst mountain areas with complex topography is scarce. Therefore, we retrieved the LST in a karst mountain area from Landsat 8 data and explored its relationships with LUCC and NDVI. The results showed that LST of the study area was noticeably affected by altitude and underlying surface type. In summer, abnormal high-temperature zones were observed in the study area, perhaps due to karst rocky desertification. LSTs among different land use types significantly differed with the highest in construction land and the lowest in woodland. The spatial distributions of NDVI and LST exhibited opposite patterns. Under the spatial combination of different land use types, the LST-NDVI feature space showed an obtuse-angled triangle shape and showed a negative linear correlation after removing water body data. In summary, the LST can be retrieved well by the atmospheric correction model from Landsat 8 data. Moreover, the LST of the karst mountain area is controlled by altitude, underlying surface type and aspect. This study provides a reference for land use planning, ecological environment restoration in karst areas.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据