کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
506852 | 865057 | 2015 | 7 صفحه PDF | دانلود رایگان |
• We monitor the traditional fluctuations of Bakhtegan Lake across time and space.
• We use a 40-year archive of Landsat images for measuring the areal changes.
• We perform a descriptive analysis on the trend of change.
• We adopt a cellular automata (CA) model for predicting the future status of the lake and then calibrate the CA model.
• We discuss the societal, ecological, and environmental consequences of the process of lake shrinkage.
Recent developments of geospatial technologies and models have provided environmentalists and naturalists with a wide variety of facilities and approaches for improved monitoring and management of environmental resources. Rich temporal remote sensing datasets, e.g., Landsat imagery as well as geospatial modeling techniques, facilitate the process of monitoring and modeling environmental phenomena. The main objective of this paper is to monitor the spatiotemporal patterns of fluctuations of a dynamic lake in the south of Iran – Bakhtegan Lake – which has been influenced by extreme climate change conditions. To do so, a temporal coverage of 12 Landsat images from 1973 to 2013, was used to delineate the boundaries of the lake over time and analyze the occurred changes. Next, a cellular automata (CA) approach was adopted for simulating two main processes: ‘lake expansion’ and ‘lake shrinkage’. The CA model was then calibrated based on a statistical comparison of the simulated and actual images of one timestamp. Application of Kappa index analysis measures the performance of the model at a value of 83 percent. The calibrated CA model was then applied and the future status of the lake (by 2017) was modeled; this suggested a further 45 percent shrinkage in addition to its recent 42 percent shrinkage. In conclusion, the socio-ecological impacts and consequences of the lake's fluctuations are discussed in detail and some complementary recommendations are proposed.
Journal: Computers & Geosciences - Volume 78, May 2015, Pages 37–43