| Technology Application |
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Spatial-temporal features of construction land expansion in Changzhutan (Changsha-Zhuzhou-Xiangtan) area based on remote sensing |
| YI Fengjia1,2,3, LI Rendong1,2, CHANG Bianrong1,2,3, QIU Juan1,2,3 |
1. Institute of Geodesy and Geophysics Chinese Academy of Sciences, Wuhan 430077, China;
2. Key Laboratory for Environment and Disaster Monitoring and Evaluation, Wuhan 430077, China;
3. Faculty of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract Construction land expansion will increasingly become a main feature of land-use and land-cover change in China. The study of construction land expansion can provide sustained support for the development of the local economy. The authors used RS and GIS integrated technology to acquire Landsat TM data in 2000, 2005 and 2010 respectively and, on such a basis, obtained land expansion and its spatial distribution information. ESI (expansion speed index) and EII (expansion intensity index) were used to analyze the spatial-temporal features at time scales of 10 years and 5 years. The DI (dominance index) was used to analyze the spatial trends of construction land expansion. The result shows that the quantity of construction land was increasingly growing in different periods, of which the ESI and EII in the first 5 years were obviously higher than those in the last 5 years. Construction land area increased by about 39 400 hm2, and the construction land expansion area accounted for the total change of 57.3% and 42.7% respectively. Construction land expansion caused the change of the quantities and spatial patterns of cultivated land and forest region. The cultivated land that was changed into construction land had three modes in space: a radial outward expansion with the old city as the center, the extension of the influencing range along the river, the even spreading of new construction land throughout the region. In addition, forest land was changed into construction land, which was mainly distributed around the residence and along the traffic area.
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| Keywords
remote sensing
leaf area index(LAI)
vegetation index
MODIS/ASTER airborne simulator(MASTER)
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Issue Date: 02 March 2015
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2015,
Vol. 27
