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Remote Sensing Change Detection in Urban Environments

  • John R. Jensen
  • Jungho Im

Abstract

Timely and accurate change information in the urban environment is essential for successful planning and management. The change detection may range from 1) monitoring general land cover/land use found in multiple dates of imagery, to 2) anomaly (e.g., subsidence) detection on hazardous waste sites. Remote sensing approaches to change detection have been widely used due to its cost-effectiveness, extensibility, and temporal frequency. Since the advent of high-spatial resolution satellite imagery, it has become increasing popular to detect, analyze, and monitor detailed changes such as new buildings, 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 (Chan et al. 2001; Jensen 2005)

Keywords

Change Detection Lidar Data Digital Surface Model Differential Global Position System Differential Global Position System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • John R. Jensen
    • 1
  • Jungho Im
    • 1
  1. 1.Department of GeographyUniversity of South CarolinaColumbia

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