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Handbook of Satellite Applications pp 1017–1046Cite as

Processing and Applications of Remotely Sensed Data

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Abstract

Digital image processing, post-processing, and data integration techniques as applied to airborne and satellite remotely sensed data for the purpose of extracting useful Earth resources information will be discussed in this chapter. Image preprocessing and data reduction tools are described in the previous chapter. The concepts discussed in this chapter include:

  • Image processing techniques such as unsupervised image classifications, supervised image classifications, neural network classifiers, simulated annealing classifiers, and fuzzy logic classification systems

  • The most widely accepted indices and land use/land cover classification schemes

  • Post-processing techniques such as filtering and change detection

  • Accuracy assessment and validation of results

  • Data integration and spatial modeling including examples of integration of remotely sensed data with other conventional survey and map form data for Earth observation purposes

*Dr. Halil Cakir did not contribute to this article as an employee of the US Environmental Protection Agency nor does this article reflect the views of this agency.

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Author information

Authors and Affiliations

  1. Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94720, USA

    Siamak Khorram

  2. Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA

    Stacy A. C. Nelson

  3. Center for Geospatial Analytics, North Carolina State University, 5123; Jordan Hall, Campus Box 7106, Raleigh, NC, 27695, USA

    Siamak Khorram & Stacy A. C. Nelson

  4. Region IV NEPA Program Office, US Environmental Protection Agency, 109 T. W. Alexander Drive, Research Triangle Park, NC, 27711, USA

    Cynthia F. van der Wiele

  5. Air Quality Analysis Group/AQAD/OAQPS, US Environmental Protection Agency, 109 T. W. Alexander Drive, Research Triangle Park, NC, 27711, USA

    Halil Cakir

Authors
  1. Siamak Khorram
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  2. Stacy A. C. Nelson
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  3. Cynthia F. van der Wiele
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  4. Halil Cakir
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Corresponding author

Correspondence to Siamak Khorram .

Editor information

Editors and Affiliations

  1. International Space University, Arlington, Virginia, USA

    Joseph N. Pelton

  2. Global Space Institute, Chapel Hill, North Carolina, USA

    Scott Madry

  3. Centro Regional de Enseñanza de Ciencia y Tecnología del Espacio para América Latina y el Caribe (CRECTEALC), Santa María Tonantzintla, Puebla, Mexico

    Sergio Camacho-Lara

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Khorram, S., Nelson, S.A.C., van der Wiele, C.F., Cakir, H. (2017). Processing and Applications of Remotely Sensed Data. In: Pelton, J., Madry, S., Camacho-Lara, S. (eds) Handbook of Satellite Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-23386-4_92

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