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Long-Term Change Dynamics Using Landsat Archive for the Region of Waterloo in Ontario, Canada

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Monitoring and Modeling of Global Changes: A Geomatics Perspective

Part of the book series: Springer Remote Sensing/Photogrammetry ((SPRINGERREMO))

Abstract

Urban land use and land cover classification have always been crucial due to the ability and to link many elements of human and physical environments. Timely, accurate, and detailed knowledge of the urban land cover information derived from remote sensing data is increasingly required among a wide variety of communities. This chapter presents a surge of interest that has predominately driven from the recent innovations in data, theories in urban remote sensing, and technologies. The Region of Waterloo was chosen for land use and land cover classification by applying remote sensing techniques to satellite images from 1984 to 2013.

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Authors and Affiliations

  1. Department of Geography and Environmental Management, University of Waterloo, 200 University AVE W., Waterloo, ON, N2L3G1, Canada

    Anqi Fu, Jonathan Li & Saied Pirasteh

Authors
  1. Anqi Fu
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  2. Jonathan Li
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  3. Saied Pirasteh
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Corresponding author

Correspondence to Jonathan Li .

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Editors and Affiliations

  1. Department of Geography & Environmental Management, University of Waterloo, Waterloo, Ontario, Canada

    Jonathan Li

  2. Department of Geography, Florida State University, Tallahassee, Florida, USA

    Xiaojun Yang

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Fu, A., Li, J., Pirasteh, S. (2015). Long-Term Change Dynamics Using Landsat Archive for the Region of Waterloo in Ontario, Canada. In: Li, J., Yang, X. (eds) Monitoring and Modeling of Global Changes: A Geomatics Perspective. Springer Remote Sensing/Photogrammetry. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9813-6_4

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