Title :
Study on Rural Settlement Hollowization Process During 23 Years in the Northeast Loess Plateau of China Based on Analysis of RS&GIS
Author :
Wenyong, Feng ; Nai-Ang, Wang ; Haiyan, Wei ; Cuiyun, Wang ; Qingguang, Liu
Author_Institution :
Dept. of Resources & Environ., Lanzhou Univ., Lanzhou
fDate :
July 31 2006-Aug. 4 2006
Abstract :
Based on the field investigation and analysis of RS data of rural settlements in the study area during the 23 years from 1979 to 2002, we reached the following main conclusions. First, four principles to define the rural settlement hollowization are provided: house-age principle, house-function-change principle, house-abandon principle and population-sharply-decrease principle in the core-zone of a rural settlement. Second, the space model of rural settlement hollowization is divided into three types: ring-shape type, fan-shape type and belt-shape type. Third, the description of the state of rural settlement hollowization by absolute-hollowization rate and relative-hollowization rate shows the velocity and level of the different rural settlement hollowization. Fourth, one hollowization-setllement space is divided into three belts: the core zone, the buffer belt and the new belt. This paper provides five time and space process models from 1979 to 2002: core-zone-grow process, core-zone-swell process, buffer-belt-grow process, buffer-belt-swell process and new-belt- grow process. Fifth, three driving powers of rural settlement hollowization are discovered: lower land-using cost, lower house building cost and lower house moving cost.
Keywords :
geographic information systems; remote sensing; town and country planning; AD 1979 to 2002; China; GIS; house-abandon principle; house-age principle; house-function-change principle; northeast Loess Plateau; population-sharply-decrease principle; remote sensing; rural settlement hollowization process; Airplanes; Belts; Costs; Data analysis; Economic indicators; Extraterrestrial phenomena; Geography; Remote sensing; Rivers; US Department of Agriculture;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.376