COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHAN

In this paper, satellite image, remote sensing technique and geographic information system technique are main technical bases. Spectral and other factors comprehensive analysis and visual interpretation are main methods. We use GF-1 and Landsat8 remote sensing satellite image of Wuhan as data source...

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Main Authors: Y. Liu, Q. Liu, W. Fan, G. Wang
Format: Article
Language:English
Published: Copernicus Publications 2018-04-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1173/2018/isprs-archives-XLII-3-1173-2018.pdf
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spelling doaj-beb1361d72514b65a2e13384008045a82020-11-25T01:39:11ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-04-01XLII-31173117710.5194/isprs-archives-XLII-3-1173-2018COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHANY. Liu0Q. Liu1W. Fan2G. Wang3Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, ChinaHeilongjiang Institute of Geomatics Engineering, Harbin 150081, ChinaSatellite Surveying and Mapping Application Center, NASG, Beijing 100048, ChinaSatellite Surveying and Mapping Application Center, NASG, Beijing 100048, ChinaIn this paper, satellite image, remote sensing technique and geographic information system technique are main technical bases. Spectral and other factors comprehensive analysis and visual interpretation are main methods. We use GF-1 and Landsat8 remote sensing satellite image of Wuhan as data source, and from which we extract vegetation distribution, urban heat island relative intensity distribution map and urban flood submergence range. Based on the extracted information, through spatial analysis and regression analysis, we find correlations among heat island effect, vegetation coverage and urban flood. The results show that there is a high degree of overlap between of urban heat island and urban flood. The area of urban heat island has buildings with little vegetation cover, which may be one of the reasons for the local heavy rainstorms. Furthermore, the urban heat island has a negative correlation with vegetation coverage, and the heat island effect can be alleviated by the vegetation to a certain extent. So it is easy to understand that the new industrial zones and commercial areas which under constructions distribute in the city, these land surfaces becoming bare or have low vegetation coverage, can form new heat islands easily.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1173/2018/isprs-archives-XLII-3-1173-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Y. Liu
Q. Liu
W. Fan
G. Wang
spellingShingle Y. Liu
Q. Liu
W. Fan
G. Wang
COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHAN
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet Y. Liu
Q. Liu
W. Fan
G. Wang
author_sort Y. Liu
title COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHAN
title_short COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHAN
title_full COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHAN
title_fullStr COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHAN
title_full_unstemmed COUPLING ANALYSIS OF HEAT ISLAND EFFECTS, VEGETATION COVERAGE AND URBAN FLOOD IN WUHAN
title_sort coupling analysis of heat island effects, vegetation coverage and urban flood in wuhan
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2018-04-01
description In this paper, satellite image, remote sensing technique and geographic information system technique are main technical bases. Spectral and other factors comprehensive analysis and visual interpretation are main methods. We use GF-1 and Landsat8 remote sensing satellite image of Wuhan as data source, and from which we extract vegetation distribution, urban heat island relative intensity distribution map and urban flood submergence range. Based on the extracted information, through spatial analysis and regression analysis, we find correlations among heat island effect, vegetation coverage and urban flood. The results show that there is a high degree of overlap between of urban heat island and urban flood. The area of urban heat island has buildings with little vegetation cover, which may be one of the reasons for the local heavy rainstorms. Furthermore, the urban heat island has a negative correlation with vegetation coverage, and the heat island effect can be alleviated by the vegetation to a certain extent. So it is easy to understand that the new industrial zones and commercial areas which under constructions distribute in the city, these land surfaces becoming bare or have low vegetation coverage, can form new heat islands easily.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1173/2018/isprs-archives-XLII-3-1173-2018.pdf
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AT qliu couplinganalysisofheatislandeffectsvegetationcoverageandurbanfloodinwuhan
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