DocumentCode
526952
Title
Researches on remote sensing monitoring of newly-construction land based on double-difference model in Chongqing city, China
Author
Qigang, Zhou ; Fei, Yang ; Zezhong, Ma ; Qiang, Guo
Author_Institution
Tourism & Territorial Resources Sch., Chongqing Technol. & Bus. Univ., Chongqing, China
Volume
1
fYear
2010
fDate
17-18 July 2010
Firstpage
786
Lastpage
789
Abstract
In this paper, applying Normalized difference vegetation index (NDVI) to build double-difference model with TM images, identified the regions of newly-construction land expansion in Chongqing city. After be standardized, the NDVI was applied to build double-difference model. Applying TM images in the year of 1988, 2000 and 2007, the process of newly-construction land expansion was revealed base on double-difference model. The results indicate that the change of newly-construction land expansion was obvious in Chongqing city from 1988 to 2007.The total area of newly-construction land expansion quantity in the years from 1988 to 2000 was small than the years from 2000 to 2007 in Chongqing city. The region with largest expansion area was transformed from Yubei district to Dadukou district. The total speed of newly-construction land expansion quantity in the years from 1988 to 2000 was slow than the years from 2000 to 2007 in Chongqing city. The region with fast speed of expansion was always Yuzhong district. The regions of newly-construction land located around center parts mainly in Chongqing city from 1998 to 2000, and located on center parts from 2000 to 2007. This research can provide a new method to government to monitor urban expansion.
Keywords
remote sensing; town and country planning; vegetation; double difference model; newly construction land expansion; normalized difference vegetation index; remote sensing monitoring; urban expansion monitoring; Biological system modeling; Cities and towns; Construction industry; Meteorology; Monitoring; Remote sensing; Rivers; Chongqing; NDVI; construction land; double-difference model; remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7387-8
Type
conf
DOI
10.1109/ESIAT.2010.5567256
Filename
5567256
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