Remotely sensed monitoring of urban heat island in Chongqing

被引:0
|
作者
Tian, Yongzhong [1 ,1 ]
Gao, Yanghua [1 ]
Yi, Jia
Zhu, Lifen [2 ,3 ]
机构
[1] Chongqing Inst Meteorol Sci, Chongqing 401147, Peoples R China
[2] Res Ctr Econ Upper Reaches Yangtze River Chongqin, Chongqing 400067, Peoples R China
[3] Business Univ, Chongqing 400067, Peoples R China
来源
GEOINFORMATICS 2007: REMOTELY SENSED DATA AND INFORMATION, PTS 1 AND 2 | 2007年 / 6752卷
关键词
heat island; land surface temperature; mono-window algorithm; NDVI; remote sensing;
D O I
10.1117/12.760716
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
With the globe climate warming and the extension of urban area, urban heat island has become a serious problem of urban environment. How to effectively monitor the structure and the change of urban heart island is becoming the focus of research on urban environment. Taking the urban core area of Chongqing as the research object, this paper uses Landsat TM/ETM+ imageries in 1988, 2001 and 2006, as well as the observing data of climate station, to study the urban ground temperature. The retrieve method of ground temperature is discussed, including mono-window algorithm, and the process how to get the four parameters of the algorithm. The retrieved ground temperature is standardized with extremum and classified into five temperature zones. The buffer analysis is carried out to detect the spatial structure and its change of urban heart island. The study shows that the character of heart island in Chongqing is great different from that in plain cities. Owing to the effect of special terrain of Chongqing, the heart island has clear hierarchy. The study also shows that the intension and extension of hear island is greatly enlarged from 1988 to 2006 due to the outspread of urban area.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Assessment of urban heat island using satellite remotely sensed imagery: a review
    Ngie, Adeline
    Abutaleb, Khaled
    Ahmed, Fethi
    Darwish, Ahmed
    Ahmed, Mahmoud
    SOUTH AFRICAN GEOGRAPHICAL JOURNAL, 2014, 96 (02) : 198 - 214
  • [2] A new perspective to assess the urban heat island through remotely sensed atmospheric profiles
    Hu, Leiqiu
    Brunsell, Nathaniel A.
    REMOTE SENSING OF ENVIRONMENT, 2015, 158 : 393 - 406
  • [3] Characterization of the urban heat Island effect from remotely sensed data based on a hierarchical model
    Ford, Lucas
    Wang, Dingbao
    Kumar, Mukesh
    Sankarasubramanian, A.
    JOURNAL OF HYDROLOGY X, 2024, 25
  • [4] Urban Heat Island Effect Analysis around Hangzhou Bay between 2005 and 2009 Using Remotely Sensed Data
    Zhang, Zili
    Yu, Haiyan
    Hu, Zunying
    Zhou, Bin
    Han, Mingchun
    ELECTRICAL INFORMATION AND MECHATRONICS AND APPLICATIONS, PTS 1 AND 2, 2012, 143-144 : 639 - 643
  • [5] Utilizing Remotely Sensed Observations to Estimate the Urban Heat Island Effect at a Local Scale: Case Study of a University Campus
    Addas, Abdullah
    Goldblatt, Ran
    Rubinyi, Steven
    LAND, 2020, 9 (06)
  • [6] Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data-A Review of Recent Developments and Methodology
    Shi, Hua
    Xian, George
    Auch, Roger
    Gallo, Kevin
    Zhou, Qiang
    LAND, 2021, 10 (08)
  • [7] Assessment of Urban Heat Islands Using Remotely Sensed Data
    Kaya, Sinasi
    Basar, Umut Gul
    Karaca, Mehmet
    Seker, Dursun Zafer
    EKOLOJI, 2012, 21 (84): : 107 - 113
  • [8] Thermal dynamics of Jaipur: Analyzing urban heat island effects using in-situ and remotely sensed data
    Mathew, Aneesh
    Sarwesh, P.
    Khandelwal, Sumit
    Raja Shekar, Padala
    Omeiza Alao, Joseph
    Abdo, Hazem Ghassan
    Almohamad, Hussein
    Abdullah Al Dughairi, Ahmed
    COGENT ENGINEERING, 2023, 10 (02):
  • [9] Maximum Nighttime Urban Heat Island (UHI) Intensity Simulation by Integrating Remotely Sensed Data and Meteorological Observations
    Zhou, Ji
    Chen, Yunhao
    Wang, Jinfei
    Zhan, Wenfeng
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2011, 4 (01) : 138 - 146
  • [10] The Use of Remotely Sensed Data for Analysis of the Influence of the Urban Environment on the Seasonal Growth of Arboreal Vegetation
    Zhigunova, S. N.
    Mikhaylenko, O. I.
    Fedorov, N. I.
    FOURTH INTERNATIONAL SCIENTIFIC CONFERENCE ECOLOGY AND GEOGRAPHY OF PLANTS AND PLANT COMMUNITIES, 2018, : 254 - 260