Land Cover Change Detection in Urban Lake Areas Using Multi-Temporary Very High Spatial Resolution Aerial Images
| Autor: | Sun Chuanming, Zhang Wenyuan, Zhaobin Liu, Song-Yin Zheng, Tan Guoxin, Xiaohan Kong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Hydraulic engineering
010504 meteorology & atmospheric sciences Geography Planning and Development High density Land cover 010501 environmental sciences Aquatic Science 01 natural sciences Biochemistry lcsh:Water supply for domestic and industrial purposes land cover Urban planning lcsh:TC1-978 Urbanization High spatial resolution CART change detection Shahu Lake multi-temporal image 0105 earth and related environmental sciences Water Science and Technology lcsh:TD201-500 Land cover change detection Urban expansion Environmental science Cartography Change detection |
| Zdroj: | Water, Vol 10, Iss 2, p 1 (2018) Water; Volume 10; Issue 2; Pages: 1 |
| ISSN: | 2073-4441 |
| Popis: | The availability of very high spatial resolution (VHR) remote sensing imagery provides unique opportunities to exploit meaningful change information in detail with object-oriented image analysis. This study investigated land cover (LC) changes in Shahu Lake of Wuhan using multi-temporal VHR aerial images in the years 1978, 1981, 1989, 1995, 2003, and 2011. A multi-resolution segmentation algorithm and CART (classification and regression trees) classifier were employed to perform highly accurate LC classification of the individual images, while a post-classification comparison method was used to detect changes. The experiments demonstrated that significant changes in LC occurred along with the rapid urbanization during 1978–2011. The dominant changes that took place in the study area were lake and vegetation shrinking, replaced by high density buildings and roads. The total area of Shahu Lake decreased from ~7.64 km2 to ~3.60 km2 during the past 33 years, where 52.91% of its original area was lost. The presented results also indicated that urban expansion and inadequate legislative protection are the main factors in Shahu Lake’s shrinking. The object-oriented change detection schema presented in this manuscript enables us to better understand the specific spatial changes of Shahu Lake, which can be used to make reasonable decisions for lake protection and urban development. |
| Databáze: | OpenAIRE |
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