Rapid land use change has take place in Wuhan, the largest mega-city in central China during the last decade.
Remotely sensed imagery together with geographical information system have long been utilized to monitor spatial and
temporal land use change. The aim of this paper is to find out the land use change and the trend of urban growth in
Wuhan, China using satellite images. The Landsat TM image acquired in 1991 and the Landsat ETM image acquired in
2002 were used to monitor land use change in Wuhan. The images were geo-referenced according to Gauss-Kruger
projection with Krasovsky spheroid, by using 1:50, 000 topographical maps. The image processing is implemented by
using Erdas Imagine package. The RMS error has been controlled under the limit of 1 pixel. The geo-referenced images
were classified as seven land use types: cultivated land, forest land, grassland, urban and villages, transportation, water
bodies and barren land. Two land use maps were produced for each date. The geo-referenced, classified images were
compared pixel by pixel to locate and quantify land use changes that took place from 1991 to 2002 period. The further
change detection analysis in a later stage is performed in ArcGIS. The transition matrix was produced and the
quantitative information on the size of land use change from one type to another was compiles. The results of study
indicate that the conversion of land use from cultivated land to urban was prominent, the rapid urban sprawl has
occupied lots of cultivated land and water bodies, the urban area significantly increased 30%, most of which are
converted from cultivated land. these valuable cultivated land need careful protection by providing land use plans to
guide urban growth going toward the right directions. The results obtained from this application also indicate that the use
of satellite imageries is very useful for mapping land use changes, and the monitoring land use change is essential for
land use planning and urban sustainable development.
Various accessibility measures have been developed for evaluating transit service efficiency. The exponential or logistic
type of accessibility model makes use of the phenomenon of distance decay around transit stops, in which distance is a
key variable. To reflect the effect of overlapping service between adjacent stops, a weighted distance is developed. The
weighted distance is the Euclidean distance weighted by accessible number of transit lines, which is derived either by the
integral distance function or the inverse distance weighted interpolation. By combining disaggregated population data,
the service capabilities of all bus stops are computed. The stops can be categorized based on the service capability to
provide new insight for transit planning and evaluation.
Remote sensing technology integrated with GIS (Geographical Information System) is an effective tool for urban
expansion and pattern analysis. This paper presents a GIS/Remote sensing-aided procedure for urban space pattern
evolving process at a regional scale in Wuhan city, Hubei Province of China, where grow rapidly in the past several
decades. Firstly, a series of geospatial dataset was constructed, such as remote sensing images, regionalism maps,
transport system maps and land use types maps. By using data of the different temporal TM and ETM+ images, three
indices, i. e. Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI) and Soil
Adjusted Vegetation Index (SAVI) were calculated. Then, the three index bands were used to compose a new image and
a maximum likehood-based supervised classification was carried out. The extraction result from the composed image
show that a 90.3% overall accuracy validated by SPOT5 images in the same period. The methods mentioned above
correctly identified different land use types in the study area. Secondly, the changing information of land use was then
merged into the ETM+ images through layers stacked or image data fusion. The new data fusion image was formed for
evolving process analysis of urban pattern. Other data sources, such as regionalism maps, transport system maps,
annotation maps, had been also overlay in GIS environment. Six urban expansion areas were distinguished by the
analysis of multi-temporal remote sensing images. The results coincide well with the field census data. Finally, the
features and characteristics of urban expansion in Wuhan in 1990s were also described.
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