Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits)
University of Maryland, College Park · MD · GEOG417
Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits) is a subject at University of Maryland, College Park, MD. It covers topics like radiation-science, remote-sensing, soil-science, spatial-sciences. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.
University of Maryland, College Park
GEOG417
3.00
Topics covered
Degrees that include Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits)
Frequently asked questions
What is Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits) about?
Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits) covers topics like radiation-science, remote-sensing, soil-science, spatial-sciences.
Which degrees include Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits)?
Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits) is part of 1 degree, including Remote Sensing (Z151).
How many credit points is Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits)?
Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits) at University of Maryland, College Park is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits) taught?
Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits) is taught at University of Maryland, College Park, MD.
Studying Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets (3 Credits)?
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Sources: University of Maryland, College Park public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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