Titlebook: Geo-Spatial Technologies in Urban Environments; Policy, Practice, an Ryan R. Jensen,Jay D. Gatrell,Daniel McLean Book 20072nd edition Sprin

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Mapping, Measuring, and Modeling Urban Growth,uburban home ownership (Hayden 2003). The baby boom followed. As a result of the boom and international immigration, the U.S. population grew from 151 million to 300 million between 1950 and 2007. To accommodate this expanding population growth, cities and towns in the U.S. rapidly spread into their rural hinterlands.

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Geotechnologies, Public Policy, & Practical Applications,ban systems. Similarly, hyper-spectral sensors offer high resolution options to assess a variety of urban surfaces. With respect to both technologies, falling costs associated with both LIDAR and hyperspectral data are making these increasingly viable methods for urban data collection.

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Intraurban Population Estimation Using Remotely Sensed Imagery,agrarian regions to cities. This increased urbanization is not just a developing country phenomenon. Urban areas of North America in 1900 were home to only 50% of the continent’s population. In 2000, the percentage of North American urban inhabitants rose to 75%.

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Using Satellite Data to Estimate Urban Leaf Area Index,remain topics of contemporary scientific study. Land cover conversion in urban areas is typically faster than in wildland areas, thus there is a need for rapid measurement methods of urban biophysical variables that are repeatable and economically efficient.

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https://doi.org/10.1007/978-3-658-25172-7metric methods or LIDAR) and proximity to hazards (distance). Second, they can be used to actively map risk (e.g., active wildfires detected through remote sensing). Finally, these geospatial technologies can be integrative through visualization tools and models often delivered through internet-based mapping and services.

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Remote Sensing Change Detection in Urban Environments,ings, roads, and even patios in the urban environment. Basically, there are two types of change detection methods: 1) detection of the change using various image enhancement methods, and 2) extraction of detailed types of land-cover change based on the use of classification techniques (.; .)

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Assessment of Risk in Urban Environments Using Geo-Spatial Analysis,metric methods or LIDAR) and proximity to hazards (distance). Second, they can be used to actively map risk (e.g., active wildfires detected through remote sensing). Finally, these geospatial technologies can be integrative through visualization tools and models often delivered through internet-based mapping and services.