Towards a polyalgorithm for land use change detection

One way of analyzing satellite images for land use and land cover change (LULCC) is time series analysis (TSA). Most of the many TSA based LULCC algorithms proposed in the remote sensing community perform well on datasets for which they were designed, but their performance on randomly chosen dataset...

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Bibliographic Details
Published in:	ISPRS journal of photogrammetry and remote sensing Vol. 144; pp. 217 - 234
Main Authors:	Saxena, Rishu, Watson, Layne T., Wynne, Randolph H., Brooks, Evan B., Thomas, Valerie A., Zhiqiang, Yang, Kennedy, Robert E.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2018
Subjects:	aerial photography algorithms anthropogenic activities Change detection data collection environmental impact humans land use and land cover maps land use change Landsat Polyalgorithm Remote sensing Scalable computing Time series analysis Polyalgorithm Scalable computing Time series analysis Change detection Remote sensing
ISSN:	0924-2716, 1872-8235
Online Access:	Get full text
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