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The maps below describe physical parameters and urban structure types on block level

 

Remote Sensing in Urban Planning – A Common Future

The combination of data from multiple sensors allow the development of specialized map products that meet the needs of decision makers.
 
Optical satellite-based sensors offer low, medium and high resolution data
collected at varying orbits and time intervals.
 
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Products from these data sets can be complimented by
space-based radar sensor data, airborne remote sensing products,
and vector data to produce a unique view of the study area.

 

The maps are derived from:
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a 3D city model 
(created from a digital elevation model based on interferometric surface area radar),
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impervious surfaces and areas of vegetation from satellite data
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and city block data from street networks (sample map below).

 

Remotely sensed  data is often multi-dimensional, allowing for spatial and qualitative analysis of physical, demographic, social, and economic aspects. Improving sensor capabilities make satellite data even more useful in dense urban areas.  

 

ANALYTICALLY

Created by Maura Blanchard for

GPH 909 Interpretation of Remote Sensing Imagery

Salem State University,  December 2017 

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