Object-based Land Cover Classification and Change Analysis in the Baltimore Metropolitan Area Using Multitemporal High Resolution Remote Sensing Data

Object-based Land Cover Classification and Change Analysis in the Baltimore Metropolitan Area Using Multitemporal High Resolution Remote Sensing Data

Accurate and timely information about land cover pattern and change in urbanareas is crucial for urban land management decision-making, ecosystem monitoring andurban planning. This paper presents the methods and results of an object-basedclassification and post-classification change detection of mul...

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Bibliographic Details
Main Authors: Morgan Grove, Austin Troy, Weiqi Zhou
Format: Article
Language:English
Published: MDPI AG 2008-03-01
Series:Sensors
Subjects:
Object-based image analysis
post-classification change detection
high-spatial resolution image
urban landscape
Baltimore
LTER
Online Access:http://www.mdpi.com/1424-8220/8/3/1613/

Internet

http://www.mdpi.com/1424-8220/8/3/1613/

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