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典型喀斯特地区地表温度与土地利用变化、NDVI 的关系。

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

机构信息

State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 99 Lincheng West Road, Guiyang, 550081, Guizhou Province, PR China.

University of Chinese Academy of Sciences, Beijing, 100049, PR China.

出版信息

Sci Rep. 2018 Jan 12;8(1):641. doi: 10.1038/s41598-017-19088-x.

Abstract

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.

摘要

地表温度(LST)能够全面反映陆面热量交换过程,对环境变化的研究具有重要意义。然而,针对复杂地形喀斯特山区的 LST 研究相对较少。因此,我们从 Landsat 8 数据中反演了喀斯特山区的 LST,并探讨了其与土地利用/覆被变化(LUCC)和归一化植被指数(NDVI)的关系。结果表明,研究区的 LST 明显受到海拔和下垫面类型的影响。在夏季,研究区出现了异常高温区,可能是由于喀斯特石漠化所致。不同土地利用类型之间的 LST 存在显著差异,建设用地的 LST 最高,林地的 LST 最低。NDVI 和 LST 的空间分布呈现相反的模式。在不同土地利用类型的空间组合下,LST-NDVI 特征空间呈钝角三角形形状,去除水体数据后呈负线性相关。总之,利用 Landsat 8 数据的大气校正模型可以较好地反演 LST。此外,喀斯特山区的 LST 受到海拔、下垫面类型和坡向的控制。本研究为喀斯特地区的土地利用规划和生态环境恢复提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399e/5766486/e13ac8773f70/41598_2017_19088_Fig1_HTML.jpg

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