Image Processing Reference
In-Depth Information
LEARNING ACTIVITIES
Internet Resources
•
MODIS home page (
http://modis.gsfc.nasa.gov/
).
•
ASTER home page (
http://asterweb.jpl.nasa.gov/
).
•
MOLAND Project (
http://moland.jrc.it/
).
100 Cities Project at Arizona State University (
•
http://100cities.asu.edu/index.html
).
•
USGS Global Visualization Viewer (
http://glovis.usgs.gov
) - a useful site for
browsing and ordering ASTER, Landsat, and MODIS data. For ASTER data,
visible to near infrared and thermal infrared browse images can be examined at
a minimum resolution of 155 m/pixel. Note that while Landsat and MODIS data
can downloaded free of charge, there is a fee for ASTER data.
Study Questions
•
Go to the GLOVIS website indicated above and compare 155 m/pixel VNIR
browse images for Phoenix, Arizona, USA with Istanbul, Turkey; Baltimore,
Maryland, USA; Madrid, Spain; Riyadh, Saudi Arabia; and Chongqing, China.
Based on the observed physical structure, and regional physiography of each
city, which would you expect to be similar to Phoenix in terms of ecological
function and climate and why?
Why is the spatial resolution of remotely sensed data of critical importance to
•
urban studies?
Is there an optimum scale of landscape metric analysis in urban systems? Why
•
or why not?
What are some of the difficulties inherent in using so-called “hard classifiers” in
•
urban regions?
This chapter presents research focused on questions of urban ecology; what
•
other problems facing urban systems can be addressed using the datasets and
approaches discussed here?
The hypothesis that urban ecological function is directly related to urban struc-
•
ture is not strongly supported by the results presented in this chapter. Consider
why this might be from the standpoint of:
-
The remotely sensed datasets used.
-
The land cover classification approach.
-
The landscape metrics used.
-
The spatial and temporal scales of the analysis.
-
How might further research explore some of these potential sources of
uncertainty?
