Image Processing Reference
In-Depth Information
Use the matrix you constructed in the above exercise to carryout a feasibility
study for the use of remote sensing in the investigation of one or more of the
following urban problems. Your feasibility study(ies) should articulate the
nature of information that needs to be extracted from the remotely sensed imag-
ery in a given investigation; the spatial, spectral, radiometric, and temporal reso-
lution requirements for the investigation; a list and justification of the type, date,
and number of images needed (you can use more than one sensor type in one
investigation); and a brief highlight or workflow of how you will use the image(s)
to fulfill the purpose of the investigation.
The changing distribution of the world's urban population between 1975 and
1995 (you can choose to keep the scope of your investigation global or limit
it to some regions of the world)
Urban gentrification process in a city of your choice
Post-war urban planning in a city located either in Afghanistan or Bosnia
Environmental impact assessment in a city affected by a storm-surge or flash
floods (e.g., New Orleans after hurricane Katrina)
Comparative study of the urban heat islands effects in Manchester, UK (an
industrial city), and Elenite, Bulgaria (a Black Sea resort)
Planning for a new highway around Mexico City
Comparative study of the nature of spatial form of ethnically segregated areas
in Pretoria, South Africa, in 1988
Relationship between environmental stressors (e.g., air pollution, environ-
mental degradation, deforestation, etc.), socioeconomic income distribution,
and rates of asthma hospitalizations in the city of Singapore
Barnsley MJ, Moller-Jensen L, Barr AL (2001) Inferring urban land use by spatial and structural
pattern recognition. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban
analysis. Taylor & Francis, London, pp 115-144
Blumberg D, Jacobson D (1997) New frontiers: remote sensing in social science research. Am
Sociol 28(3):62-68
Bonnard P (2000) Assessing urban food security, Famine Early Warning System (FEWS) Project
Report. Online document: Accessed 20 Feb 2009
Brivio PA, Zilioli E (2001) Urban pattern characterization through geostatistical analysis of satel-
lite images. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis.
Taylor & Francis, London, pp 39-54
Chardon RE, Schwertz EL (1972) An annotated bibliography of remote sensing applied to urban
areas, 1950-1971. School of Geoscience Louisiana State University, Baton Rouge, LA
Chen K (2002) An approach to linking remotely sensed data and areal census data. Int J Remote
Sens 23:37-48
Chen D, Stow D (2002) The effect of training strategies on supervised classification at different
spatial resolutions. Photogramm Eng Remote Sens 68:1155-1161
Chen D, Stow D, Gong P (2004) Examining the effect of spatial resolution on classification accu-
racy: an urban environmental case. Int J Remote Sens 25:2177-2192
Dickinson LC, Boselly SE, Burgmann WW (1974) Defense meteorological satellite program:
User's guide. Air Weather Service (MAC), US Air Force
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