Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States

Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States

Land cover classification provides valuable information for prioritizing management and conservation operations across large landscapes. Current regional scale land cover geospatial products within the United States have a spatial resolution that is too coarse to provide the necessary information fo...

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Bibliographic Details
Main Authors: Joseph St. Peter, John Hogland, Nathaniel Anderson, Jason Drake, Paul Medley
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
land-cover classification
spectral analysis
NAIP
remote sensing
neural networks
high spatial resolution
Online Access:http://www.mdpi.com/2220-9964/7/3/107

Internet

http://www.mdpi.com/2220-9964/7/3/107

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