DocumentCode
493
Title
Seasonal Change of Land-Use/Land-Cover (LULC) Detection Using MODIS Data in Rapid Urbanization Regions: A Case Study of the Pearl River Delta Region (China)
Author
Jinrong Hu ; Yuanzhi Zhang
Author_Institution
Yuen Yuen Res. Centre for Satellite Remote Sensing, Chinese Univ. of Hong Kong, Shatin, China
Volume
6
Issue
4
fYear
2013
fDate
Aug. 2013
Firstpage
1913
Lastpage
1920
Abstract
Seasonal changes were detected using multi-temporal MODIS images from March 2008 to December 2009 over the Pearl River Delta (PRD) region, China, to determine temporal and spatial changes of land-use/land-cover (LULC) classes in rapid urbanizing regions. The maximum likelihood method was applied to extract five types of LULC classes. A post-classification change detection technique was used to determine the types changed. Cropland, water and bare land had some seasonal changes, while urban and woodland had very little seasonal change. Results demonstrate that the urban area had a slight but continuous increase from early 2008 to late 2009, while the other land-use types had different increases or decreases at the same period. The study provides an example of seasonal change detection of LULC types using MODIS data in regions of rapid urbanization, such as the PRD in China.
Keywords
geophysical image processing; maximum likelihood estimation; rivers; terrain mapping; vegetation mapping; AD 2008 03 to 2009 12; China; LULC; MODIS data; PRD region; Pearl River Delta Region; bare land; cropland; land-use types; land-use/land-cover detection; maximum likelihood method; multitemporal MODIS images; postclassification change detection technique; rapid urbanization regions; seasonal change; spatial changes; temporal changes; urban area; water; woodland; Accuracy; Earth; MODIS; Market research; Meteorology; Remote sensing; Rivers; Change detection; LULC classes; MODIS data; PRD; maximum likelihood;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2012.2228469
Filename
6403896
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