Response of land cover types to land surface temperature derived from Landsat-5 TM in Nanjing Metropolitan Region, China

被引:0
|
作者
Guilin Liu
Qian Zhang
Guangyu Li
Domenico M. Doronzo
机构
[1] Chinese Academy of Sciences,State Key Laboratory of Lake Science and Environment Nanjing Institute of Geography and Limnology
[2] Nanjing Forestry University,College of Landscape Architecture
[3] Ministry of Environmental Protection,Nanjing Institute of Environmental Sciences
[4] National Autonomous University of Mexico,Center of Geosciences
来源
关键词
Land surface temperature; Remote sensing; Land cover; Nanjing Metropolitan Region;
D O I
暂无
中图分类号
学科分类号
摘要
Nanjing (China) has undergone rapid urbanization since the reform and opening up in 1978. The urban heat environment has been affected significantly by human activities. In this paper, we aim at revealing the influence of land cover types on urban heat retrieved from the thermal infrared band of Landsat-5 Thematic Mapper. The results show that the high-temperature area is mainly located in the urban area of Nanjing, while the low-temperature area is located in the forest and water body areas. The average land surface temperature of Qinhuai District is the highest (29.1 °C), while Pukou District has lower temperatures. Geometrically, the city center has the highest temperature, and the land surface temperature gradually decreases with distance from the city center. The land surface temperature of industrial land is the highest, while rivers reveal the lowest temperature in the region (24.3 °C). The size and number of land cover patches have a positive correlation with the heat contribution. The construction land has the significantly positive correlation with land surface temperature, while arable land, forest, water body and wetland have significantly negative correlations. Land surface temperatures in highly growing urban areas are higher than the associated old town, and this is due to the use of new construction materials, and to lower vegetation coverage.
引用
收藏
相关论文
共 50 条
  • [1] Response of land cover types to land surface temperature derived from Landsat-5 TM in Nanjing Metropolitan Region, China
    Liu, Guilin
    Zhang, Qian
    Li, Guangyu
    Doronzo, Domenico M.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (20)
  • [2] Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data
    Kumar, Uttam
    Milesi, Cristina
    Ganguly, Sangram
    Raja, S. Kumar
    Nemani, Ramakrishna R.
    [J]. 2015 IEEE 16TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2015, : 244 - 251
  • [3] Land surface temperature retrieval from LANDSAT TM 5
    Sobrino, JA
    Jiménez-Muñoz, JC
    Paolini, L
    [J]. REMOTE SENSING OF ENVIRONMENT, 2004, 90 (04) : 434 - 440
  • [4] Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere
    Zhou, Ji
    Li, Jing
    Zhang, Lixin
    Hu, Deyong
    Zhan, Wenfeng
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (08) : 2582 - 2602
  • [5] LAND SURFACE TEMPERATURE IN LODZ OBTAINED FROM LANDSAT 5TM
    Jedruszkiewicz, Joanna
    Zielinski, Mariusz
    [J]. CONTEMPORARY TRENDS IN GEOSCIENCE, 2012, 1 (01) : 21 - 29
  • [6] Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China
    Wang, Ruci
    Hou, Hao
    Murayama, Yuji
    Derdouri, Ahmed
    [J]. REMOTE SENSING, 2020, 12 (03)
  • [7] Land-use/land cover change and land surface temperature in Metropolitan Manila, Philippines using landsat imagery
    King Joshua Almadrones-Reyes
    Nikki Heherson A. Dagamac
    [J]. GeoJournal, 2023, 88 : 1415 - 1426
  • [8] Land-use/land cover change and land surface temperature in Metropolitan Manila, Philippines using landsat imagery
    Almadrones-Reyes, King Joshua
    Dagamac, Nikki Heherson A.
    [J]. GEOJOURNAL, 2023, 88 (02) : 1415 - 1426
  • [9] THE LAND SURFACE TEMPERATURE IMPACT TO LAND COVER TYPES
    Ibrahim, I.
    Abu Samah, A.
    Fauzi, R.
    Noor, N. M.
    [J]. XXIII ISPRS CONGRESS, COMMISSION III, 2016, 41 (B3): : 871 - 876
  • [10] Applicability of Multi-date Land Cover Mapping using Landsat-5 TM Imagery in the Northeastern US
    MacLean, Meghan Graham
    Congalton, Russell G.
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2013, 79 (04): : 359 - 368