Remote sensing urban expansion, landscape configuration and composition - Kowe, Pedzisai
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There have been many textbooks on the topic of urban remote sensing applications, most with a general coverage of the key remote sensing data and characteristics, methods and techniques and spatial data and information extraction for spatial and temporal variability patterns of urban expansion and landscape configurations. It is through such an understanding that current models, methods and techniques in urban planning are incapable of addressing the structural complexity in urban landscapes with multiple anthropogenic drivers across a range of spatial scales. Here we present a simple method…mehr

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Produktbeschreibung
There have been many textbooks on the topic of urban remote sensing applications, most with a general coverage of the key remote sensing data and characteristics, methods and techniques and spatial data and information extraction for spatial and temporal variability patterns of urban expansion and landscape configurations. It is through such an understanding that current models, methods and techniques in urban planning are incapable of addressing the structural complexity in urban landscapes with multiple anthropogenic drivers across a range of spatial scales. Here we present a simple method that explicitly treats spatial pattern and structure of urban landscape by incorporating landscape pattern indices or spatial metrics as derived from remote sensing and GIS data. The Sancaktepe District of Istanbul, the largest city in Turkey is used as a case study.
Autorenporträt
Pedzisai Kowe was born in Zimbabwe. He obtained an M.Sc. in Geoinformation Science and Earth Observation (2010) from the University of Twente, Enschede, The Netherlands. He is currently pursuing a Ph. D in Environmental Science degree specializing in remote sensing with the University of Kwazulu Natal in South Africa.