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Remote sensing & GIS
Case study in general
Objectives
• Integration of remote sensing and GIS
• Understand the procedure for acquiring data and validate with
Remote sensing and GIS
Remote sensing
process
• The flow chart describes the
remote sensing data collection
process in brief.
• Part 1
Remote sensing
process
• Part 2
Remote sensing
process
• Part 3
Application
• Case Study of Characterization of
Al Ain city urban growth using
multi-temporal remote sensing
data and GIS - By Salem Issa and
Nazmi Saleous.
Case study
• In this case study, an attempt has
been undertaken to map ‘urban
areas’ in Al Ain city from large and
medium-scale Landsat imageries
in three different dates spanning
the period 1972–2000 and to
characterize the urban growth of
the city using three different
approaches: qualitative (using
milestone change trajectories in
the city), quantitative (using
spatial metrics), and GIS overlay
analysis.
Study area (Figure 1)
Change analysis
techniques
• The post-classification comparison
approach is used based on
comparing separately the produced
classified LULC maps (1972, 1990,
and 2000) in order to identify the
change in the LULC classes and
provide descriptive information
about the nature of change that
occurred in different dates. Spatial
metrics and GIS overlay analysis are
used to characterize changes in the
urban area class. A total of eight
instances of urban change
trajectories are produced (Figure 3)
Instances of urban trajectories 72 – 2000 (Figure 2)
Application
• Urban areas were extracted using
a semi-automatic method
including manual editing of
boundaries of certain classes
based on authors’ familiarity with
the study area. A value of 1 was
assigned to classes that fall in the
urban category while a value of 0
was given to all other classes
(Table 1).
• Results of the spatial metrics
calculation are shown in (Table 2).
Table 1
Table 2
Change detection
between 1972,
1990, and 2000
• Change detection analysis across 1972,
1990, and 2000 was conducted using the
post-classification comparison method.
The GIS overlay analysis was also
applied on the LULC maps, which
allowed the creation of 216 (=63)
possible combinations of classes over the
study period, hence producing 216
different from-to-to change maps (not
shown here). As our main concern was
on the change characteristics of urban
areas, a map was created using ArcGIS
displaying the eight different instances
of urban change trajectories throughout
the study period (Figure 4).
Al Ain Urban area trajectory maps in 1972, 1990, and
2000. U, urban; N: non-urban.(Figure 3)
Conclusion
• In conclusion, it was found that neither Hafeet Mountain nor the sand
dunes have ever formed a barrier to urban growth and will probably
not do so in the future. Furthermore, it seems that in the short-term,
the city will not witness urban expansion across the sand dunes for
reasons explained above. However, it is thought that policy makers
and planners will be forced to review their decisions to reverse the
expansion from being horizontal, which was the case for the last forty
years, to become vertical in order to minimize the necessary expenses
of reclaiming more lands from sand dunes to urban areas, and to
avoid more investments in kilometers of water pipes, electricity lines,
and other infrastructures.
Al Ain Urban area trajectory maps in 1972, 1990, and
2000. U, urban; N: non-urban.(Figure 3)
Thank you

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Remote sensing & GIS

  • 1. Remote sensing & GIS Case study in general
  • 2. Objectives • Integration of remote sensing and GIS • Understand the procedure for acquiring data and validate with Remote sensing and GIS
  • 3. Remote sensing process • The flow chart describes the remote sensing data collection process in brief. • Part 1
  • 6. Application • Case Study of Characterization of Al Ain city urban growth using multi-temporal remote sensing data and GIS - By Salem Issa and Nazmi Saleous.
  • 7. Case study • In this case study, an attempt has been undertaken to map ‘urban areas’ in Al Ain city from large and medium-scale Landsat imageries in three different dates spanning the period 1972–2000 and to characterize the urban growth of the city using three different approaches: qualitative (using milestone change trajectories in the city), quantitative (using spatial metrics), and GIS overlay analysis. Study area (Figure 1)
  • 8. Change analysis techniques • The post-classification comparison approach is used based on comparing separately the produced classified LULC maps (1972, 1990, and 2000) in order to identify the change in the LULC classes and provide descriptive information about the nature of change that occurred in different dates. Spatial metrics and GIS overlay analysis are used to characterize changes in the urban area class. A total of eight instances of urban change trajectories are produced (Figure 3) Instances of urban trajectories 72 – 2000 (Figure 2)
  • 9. Application • Urban areas were extracted using a semi-automatic method including manual editing of boundaries of certain classes based on authors’ familiarity with the study area. A value of 1 was assigned to classes that fall in the urban category while a value of 0 was given to all other classes (Table 1). • Results of the spatial metrics calculation are shown in (Table 2). Table 1 Table 2
  • 10. Change detection between 1972, 1990, and 2000 • Change detection analysis across 1972, 1990, and 2000 was conducted using the post-classification comparison method. The GIS overlay analysis was also applied on the LULC maps, which allowed the creation of 216 (=63) possible combinations of classes over the study period, hence producing 216 different from-to-to change maps (not shown here). As our main concern was on the change characteristics of urban areas, a map was created using ArcGIS displaying the eight different instances of urban change trajectories throughout the study period (Figure 4). Al Ain Urban area trajectory maps in 1972, 1990, and 2000. U, urban; N: non-urban.(Figure 3)
  • 11. Conclusion • In conclusion, it was found that neither Hafeet Mountain nor the sand dunes have ever formed a barrier to urban growth and will probably not do so in the future. Furthermore, it seems that in the short-term, the city will not witness urban expansion across the sand dunes for reasons explained above. However, it is thought that policy makers and planners will be forced to review their decisions to reverse the expansion from being horizontal, which was the case for the last forty years, to become vertical in order to minimize the necessary expenses of reclaiming more lands from sand dunes to urban areas, and to avoid more investments in kilometers of water pipes, electricity lines, and other infrastructures. Al Ain Urban area trajectory maps in 1972, 1990, and 2000. U, urban; N: non-urban.(Figure 3)