Fundamentals of Remote Sensing Imaging and Preliminary Analysis

  • Siamak Khorram
  • Stacy A. C. Nelson
  • Cynthia F. van der Wiele
  • Halil Cakir
Living reference work entry


Airborne and satellite digital image acquisition, preprocessing, and data reduction techniques as applied to remotely sensed data for the purpose of extracting useful Earth resources information are discussed in this chapter. The image processing and postprocessing tools are described in the next chapter. The concepts discussed in this chapter include:
  • Image acquisition considerations including currently available remotely sensed data

  • Image characteristics in terms of spatial, spectral, radiometric, and temporal resolutions

  • Preprocessing techniques such as geometric distortion removals, atmospheric correction algorithms, image registration, enhancement, masking, and data transformations

  • Data reduction, fusion, and integration techniques

  • International policies governing acquisition and distribution of remotely sensed data


Remote sensing data acquisition Data fusion Digital image processing Digital image data integration Electromagnetic spectrum Hyperspectral imaging Light detection and ranging (LiDAR) Multispectral imaging Radio detection and ranging (RADAR) Radiometric resolution Satellite remote sensing Spatial resolution Spectral resolution Temporal resolution Geospatial data integration 


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Copyright information

© Springer Science+Business Media New York (outside the USA) 2016

Authors and Affiliations

  • Siamak Khorram
    • 1
    • 2
  • Stacy A. C. Nelson
    • 2
  • Cynthia F. van der Wiele
    • 3
  • Halil Cakir
    • 4
  1. 1.Department of Environmental Science, Policy, and ManagementUniversity of CaliforniaBerkeleyUSA
  2. 2.Center for Geospatial Analytics, North Carolina State UniversityRaleighUSA
  3. 3.Region IV NEPA Program OfficeUS Environmental Protection AgencyResearch Triangle ParkUSA
  4. 4.Air Quality Analysis Group/AQAD/OAQPSUS Environmental Protection AgencyResearch Triangle ParkUSA

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