NDLI: A Method to Determine Appropriate Spatial Resolution for Hard Image Classification

Content Provider	Springer Nature Link
Author	Sun, Huasheng Wu, Jiaqi Xu, Xinchao
Copyright Year	2015
Abstract	This study analyzed the relationship between the spatial resolution and the hard classification effect based on pixel-based image classification, and then discussed how to determine appropriate spatial resolution. Thematic maps of winter wheat derived from 250 m MODIS image, 19.5 m China-Brazil Earth Resources Satellite (CBERS) image, and 2.44 m QuickBird image were used to examine the classification effect as a case study. It indicated that the “Pareto Boundaries” and the “within-class variability” could be used to determine the coarsest and the highest resolution for hard classification, respectively. The methods proposed in this study should be useful to guide how to select appropriate spatial resolution for land cover mapping.
Starting Page	11
Ending Page	19
Page Count	9
File Format	PDF
ISSN	0255660X
Journal	Journal of the Indian Society of Remote Sensing
Volume Number	44
Issue Number	1
e-ISSN	09743006
Language	English
Publisher	Springer India
Publisher Date	2015-10-10
Publisher Place	New Delhi
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Spatial resolution Hard classification Classification accuracy Land cover mapping Earth Sciences Remote Sensing/Photogrammetry
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Geography, Planning and Development

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A Method to Determine Appropriate Spatial Resolution for Hard Image Classification