You are currently viewing an archived version of Topic Nature of Multispectral Image Data.
If updates or revisions have been published you can find them at Nature of Multispectral Image Data.
Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Nature of multispectral image data. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Explain the concepts of spatial resolution, radiometric resolution, and spectral sensitivity
Draw and explain a diagram that depicts the bands in the electromagnetic spectrum at which Earth’s atmosphere is sufficiently transparent to allow high-altitude remote sensing
Illustrate the spectral response curves for basic environmental features (e.g., vegetation, concrete, bare soil)
Describe an application that requires integration of remotely sensed data with GIS and/or GPS data
Explain the concept of “data fusion” in relation to remote sensing applications in GIS&T
Draw and explain a diagram that depicts the key bands of the electromagnetic spectrum in relation to the magnitude of electromagnetic energy emitted and/or reflected by the Sun and Earth across the spectrum
You are currently viewing an archived version of Topic Nature of Multispectral Image Data. If updates or revisions have been published you can find them at Nature of Multispectral Image Data.
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Nature of multispectral image data. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).