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)
Publication in refereed journal


Times Cited
Web of Science6WOS source URL (as at 07/07/2020) Click here for the latest count
Altmetrics Information
.

Other information
AbstractSeasonal 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.
All Author(s) ListHu JR, Zhang YZ
Journal nameIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year2013
Month8
Day1
Volume Number6
Issue Number4
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1913 - 1920
ISSN1939-1404
eISSN2151-1535
LanguagesEnglish-United Kingdom
KeywordsChange detection; LULC classes; maximum likelihood; MODIS data; PRD
Web of Science Subject CategoriesEngineering; Engineering, Electrical & Electronic; Geography, Physical; GEOGRAPHY, PHYSICAL; Imaging Science & Photographic Technology; IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY; Physical Geography; Remote Sensing; REMOTE SENSING

Last updated on 2020-08-07 at 02:33