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author:

Qiu, Bingwen (Qiu, Bingwen.) [1] (Scholars:邱炳文) | Li, Haiwen (Li, Haiwen.) [2] | Chen, Chongcheng (Chen, Chongcheng.) [3] (Scholars:陈崇成) | Tang, Zhenghong (Tang, Zhenghong.) [4] | Zhang, Ke (Zhang, Ke.) [5] | Berry, Joe (Berry, Joe.) [6]

Indexed by:

EI Scopus SCIE

Abstract:

Efficient and timely quantification of landscape changes of urbanization, devegetation, and inundation in China is important for decision making in sustainable development. This study proposed a novel and automatic approach to track landscape changes in China based on 500 m 8-day composite MODIS datasets from 2001 to 2017. An overall accuracy of 94.09% was achieved on the basis of 5,178 references sites. Results showed that newly impervious surface areas (ISA), bare lands, and inundated water bodies accounted for 0.51%, 0.23%, and 0.25% of the total land area in China, respectively. Rapid urbanization transformation was observed with the average annual land urbanization rate of 9.53%, almost three-times higher than the global rate of urbanization. The speediest period of urbanization was exhibited in 2009 and 4,938.89 km(2) of newly formed ISA were generated in this single year. The most obvious period of devegetation, which converted vegetation to bare lands, was observed from 2006 to 2009, with 2000-2100 km(2) yr(-1). Urbanization and devegetation dominantly occurred in humid/semihumid regions (>85%), particularly in the Yangtze River Delta. The remarkable devegetation was strongly associated with newly ISA; however, significant reduction of devegetation was observed in arid/semiarid regions in 2010s. Besides one hotspot surrounding newly ISA, the other hotspot of inundation in remote highlands was highlighted and distinct reduction in inundation was evidenced after 2010. A free download link for these datasets is attached ().

Keyword:

automatic mapping devegetation inundation spatiotemporal patterns urbanization

Community:

  • [ 1 ] [Qiu, Bingwen]Fuzhou Univ, Natl Engn Res Ctr Geospatial Informat Technol, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Li, Haiwen]Fuzhou Univ, Natl Engn Res Ctr Geospatial Informat Technol, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Chen, Chongcheng]Fuzhou Univ, Natl Engn Res Ctr Geospatial Informat Technol, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Fujian, Peoples R China
  • [ 4 ] [Zhang, Ke]Fuzhou Univ, Natl Engn Res Ctr Geospatial Informat Technol, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Fujian, Peoples R China
  • [ 5 ] [Tang, Zhenghong]Univ Nebraska, Community & Reg Planning Program, Lincoln, NE 68558 USA
  • [ 6 ] [Berry, Joe]Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA

Reprint 's Address:

  • 邱炳文

    [Qiu, Bingwen]Fuzhou Univ, Natl Engn Res Ctr Geospatial Informat Technol, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Fujian, Peoples R China

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Source :

LAND DEGRADATION & DEVELOPMENT

ISSN: 1085-3278

Year: 2019

Issue: 15

Volume: 30

Page: 1802-1812

3 . 7 7 5

JCR@2019

3 . 6 0 0

JCR@2023

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:188

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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