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author:

Wang, Lin (Wang, Lin.) [1] (Scholars:王琳) | Xu, Hanqiu (Xu, Hanqiu.) [2] (Scholars:徐涵秋)

Indexed by:

EI PKU CSCD

Abstract:

This paper, taking Fuzhou urban area as an example studied the urban ET variations and its relationship with urban build-up land and vegetation using two Landsat images of 2003 and 2013. The result reveals that the ET has been sharply decreased by 30.62% in urban areas. The regression analysis shows that ET has a strong negative linear correlation with urban build-up land and an obvious positive linear correlation with vegetation. Apparently, urban expansion, build-up land increase and vegetation reduction are the key factors contributing to the decreasing of ET in urban areas. © 2016, Science Press. All right reserved.

Keyword:

Evapotranspiration Regression analysis Remote sensing Vegetation

Community:

  • [ 1 ] [Wang, Lin]College of Environment and Resources, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Wang, Lin]Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Wang, Lin]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou; 350116, China
  • [ 4 ] [Xu, Hanqiu]College of Environment and Resources, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Xu, Hanqiu]Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Xu, Hanqiu]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou; 350116, China

Reprint 's Address:

  • 徐涵秋

    [xu, hanqiu]college of environment and resources, fuzhou university, fuzhou; 350116, china;;[xu, hanqiu]fujian provincial key laboratory of remote sensing of soil erosion and disaster protection, fuzhou; 350116, china;;[xu, hanqiu]institute of remote sensing information engineering, fuzhou university, fuzhou; 350116, china

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Source :

Journal of Tongji University

ISSN: 0253-374X

CN: 31-1267/N

Year: 2016

Issue: 2

Volume: 44

Page: 255-261

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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