31 research outputs found
Urban detection, delimitation and morphology: comparative analysis of selective "megacities"
Postprint (published version
The effectiveness of morphology and street networks in determining models of urban growth at different spatial scales analysis
Peer ReviewedPostprint (author’s final draft
Remote sensing for efficient describe residential land use density structures "case study of Barcelona Metropolitan Area"
Most major metropolitan areas face the growing problems of urban sprawl, loss of natural vegetation and open space. Almost everyone has seen these changes to their local environment but without a clear understanding of their impact. Remote sensing technology offers the potential for acquisition of detailed and accurate land-use information for management and planning of urban regions. However, Satellite data is particularly useful for detecting major changes in urban land-use because of
frequent coverage, low cost and the possibility of overlaying images from different dates exactly on top of
each other. The determination of land-use data with high geometric and thematic accuracy is generally
limited by the availability of adequate remote sensing data, in terms of special and temporal resolution
and digital analysis image techniques.
This study introduces a methodology using information on spatial images to describe urban land-use
density and changes. The analysis is based on spatial analysis of land-cover structure mapped from
digitally classified satellite images of the metropolitan region of Barcelona. The results show a useful
separation and characterization of various types of land-uses of this area and several important structural
land-cover features were identified for this study. The analysis shows the importance of the special
measurements as second order image information that can contribute to more detailed mapping of urban
areas and towards a more accurate characterization of spatial urban growth pattern. However, Improve
classification categories one of the image processing targets based on different kind of analyses to obtain
the missing data or to divide the existing one for more class’s levels. The first level of Residential urban
fabric category obtained from satellite images data sources as a homogeneous data (undivided data).
When we are talking about residential density that’s mean the occupation of construction building areas of
lands because the volume is not exist in our case of study so the neighbour categories such as Green,
Street and industrial areas will affect on dividing the Residential density levels. Our data source is formed
by classified Spot 5 (year 2004) satellite image (False Colour image with 10m resolution) which cover the
metropolitan area of Barcelona. This paper focused on the development of a methodology based on
segmentation and buffer zone analysis for urban residential areas that may improve the urban
investigation.Peer Reviewe
Monitoring urban growth around the metropolitan area of Barcelona with spot satellite imagery
The SPOT5 satellite was launched in mid-2002 and offers the possibility of providing images for geographical areas measuring (60 km x by 60km) at a resolution of 2.5 metres. For urban planning applications in large metropolitan area, this degree of detail marks a significant advance over the specifications of previous images in the SPOT series.
In recent years the population of the City of Barcelona has been in decline, in contrast to marked demographic increases in the wider metropolitan area. To date efforts to quantify such urban growth have depended upon the analysis of aerial photography and other more functional relations, utilising information based upon commuting and travel to work flows.
This paper approaches the measurement of metropolitan urban growth from a strictly morphological perspective, drawing upon SPOT satellite imagery dating from 1995 and 2002. At the same time the paper assesses the value of the increased accuracy for urban planning activities from an operational perspective, resulting from the higher resolution of the SPOT5 images, for the monitoring of key urban development issues, both within the confines and beyond the edges of Barcelona’s metropolitan area.Peer ReviewedPostprint (published version
Remote sensing for efficient describe residential land use density structures "case study of Barcelona Metropolitan Area"
Most major metropolitan areas face the growing problems of urban sprawl, loss of natural vegetation and open space. Almost everyone has seen these changes to their local environment but without a clear understanding of their impact. Remote sensing technology offers the potential for acquisition of detailed and accurate land-use information for management and planning of urban regions. However, Satellite data is particularly useful for detecting major changes in urban land-use because of
frequent coverage, low cost and the possibility of overlaying images from different dates exactly on top of
each other. The determination of land-use data with high geometric and thematic accuracy is generally
limited by the availability of adequate remote sensing data, in terms of special and temporal resolution
and digital analysis image techniques.
This study introduces a methodology using information on spatial images to describe urban land-use
density and changes. The analysis is based on spatial analysis of land-cover structure mapped from
digitally classified satellite images of the metropolitan region of Barcelona. The results show a useful
separation and characterization of various types of land-uses of this area and several important structural
land-cover features were identified for this study. The analysis shows the importance of the special
measurements as second order image information that can contribute to more detailed mapping of urban
areas and towards a more accurate characterization of spatial urban growth pattern. However, Improve
classification categories one of the image processing targets based on different kind of analyses to obtain
the missing data or to divide the existing one for more class’s levels. The first level of Residential urban
fabric category obtained from satellite images data sources as a homogeneous data (undivided data).
When we are talking about residential density that’s mean the occupation of construction building areas of
lands because the volume is not exist in our case of study so the neighbour categories such as Green,
Street and industrial areas will affect on dividing the Residential density levels. Our data source is formed
by classified Spot 5 (year 2004) satellite image (False Colour image with 10m resolution) which cover the
metropolitan area of Barcelona. This paper focused on the development of a methodology based on
segmentation and buffer zone analysis for urban residential areas that may improve the urban
investigation.Peer Reviewe
Monitoring urban sprawl from historical aerial photographs and satellite imagery using texture analysis and mathematical morphology approaches
In the last few decades, Urban sprawl refers to the outgrowth of urban areas caused by uncontrolled,uncoordinated and unplanned growth. The rapidity of urban dynamics has a significant impact on the spatial patterns associated with the growth and expansion of metropolitan areas. Spain has been urbanizing large amounts of land, while the total population has hardly increased. Much of the expansion of (sub) urban development has come at the expense of farmland, forest land, and other areas of open space, mostly as the result of low-density, sprawling development. Sound land use planning and open space preservation are important
issues in Spain, but currently very little quantitative information is available describing urban sprawl and land use change. Black and white aerial photography from 1956 and panchromatic satellite imagery from 2005 are used for studies of growth and change of informal settlements in various landscapes in Spain. The digital data is Ortho-rectified, corrected for brightness variations and mosaicked using ER Mapper and Global Mapper software. The texture analysis and mathematical morphology are applied with ENVI and MATLAB.
The focus of this study is to evaluate the capability of using textural analysis for mapping the compact urban areas of Barcelona city in Spain. The significance of this study is due to (1) the use of historical aerial photographs and SPOT imagery for monitoring urban land use change; and (2) the research being on developing Spain cities, which have rapidity of urban dynamics.Peer ReviewedPostprint (published version