Monitoring vegetation cover in Chongqing between 2001 and 2010 using remote sensing data
- 369 Downloads
In this study, we applied asymmetric Gaussian function fitting to reconstruct a high-quality MODIS normalized difference vegetation index (NDVI) time series dataset. Following this, we retrieved vegetation cover data from the Chongqing area between 2001 and 2010 using this dataset, applying a dimidiate pixel method. We then used several analytical indices to analyze spatial and temporal changes and trends related to these changes. We determined that a reconstruction of the MODIS NDVI dataset using asymmetric Gaussian fitting in conjunction with a data quality weight coefficient improved data quality and created a foundation for accurate estimations of vegetation cover. We also determined that vegetation cover in the Chongqing area decreased gradually from east to west. During the 10-year study period, vegetation cover in the Chongqing area generally increased, changing from low to high coverage. This increase in vegetation cover was mainly the result of ecological protection policies and improving climate conditions. We also found that changes in vegetation cover were mainly the result of urban construction and afforestation initiatives, but vegetation cover improved overall.
KeywordsTIMESAT Dimidiate pixel model Vegetation cover Dynamic change analysis
This study was supported by the National Foundation of Natural Sciences of China (No. 31570612).We would like to thank Brian DOONAN for his help in writing this paper as well as to the journal editors and anonymous reviewers for their comments on an earlier version of this manuscript.
- Goirán, S.B., Aranibar, J.N., & Gomez, M.L. (2012). Heterogeneous spatial distribution of traditional livestock settlements and their effects on vegetation cover in arid groundwater coupled ecosystems in the Monte Desert (Argentina). Journal of Arid Environments, 87, 188–197.Google Scholar
- Kyle, G., & Duncan, D.H. (2012). Arresting the rate of land clearing: change in woody native vegetation cover in a changing agricultural landscape. Landscape and Urban Planning, 106, 165–173.Google Scholar
- Lan, J. C., Sun, Y. C., Xiao, S. Z., & Yuan, D. X. (2016). Polycyclic aromatic hydrocarbon contamination in a highly vulnerable underground river system in Chongqing, Southwest China. Journal of Geochemical Exploration, 168, 65–71.Google Scholar
- Miao, C., Sun, Q., Borthwick, A. G. L., Duan, Q. (2016b). Linkage between hourly precipitation events and atmospheric temperature changes over China during the warm season. Scientific Reports 6 (art. 22543).Google Scholar
- Xiao, Y., Xiao, Q., Ouyang, Z., Qin, M. (2015). Assessing changes in water flow regulation in Chongqing region, China. Environmental Monitoring and Assessment, 187 (art. 362).Google Scholar
- Zhang, J., Zhengjun, L., & Xiaoxia, S. (2009). Changing landscape in the Three Gorges Reservoir Area of Yangtze River from 1977 to 2005: land use/land cover, vegetation cover changes estimated using multi-source satellite data. International Journal of Applied Earth Observation and Geoinformation, 11(6), 403–412.CrossRefGoogle Scholar