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Spatio-temporal sub-pixel land cover mapping of remote sensing imagery using spatial distribution information from same-class pixels

Li, Xiaodong; Chen, Rui; Foody, Giles M.; Wang, Lihui; Yang, Xiaohong; Du, Yun; Ling, Feng

Authors

Xiaodong Li

Rui Chen

GILES FOODY giles.foody@nottingham.ac.uk
Professor of Geographical Information

Lihui Wang

Xiaohong Yang

Yun Du

Feng Ling



Abstract

© 2020 by the authors. The generation of land cover maps with both fine spatial and temporal resolution would aid the monitoring of change on the Earth's surface. Spatio-temporal sub-pixel land cover mapping (STSPM) uses a few fine spatial resolution (FR) maps and a time series of coarse spatial resolution (CR) remote sensing images as input to generate FR land cover maps with a temporal frequency of the CR data set. Traditional STSPM selects spatially adjacent FR pixels within a local window as neighborhoods to model the land cover spatial dependence, which can be a source of error and uncertainty in the maps generated by the analysis. This paper proposes a new STSPM using FR remote sensing images that pre-and/or post-date the CR image as ancillary data to enhance the quality of the FR map outputs. Spectrally similar pixels within the locality of a target FR pixel in the ancillary data are likely to represent the same land cover class and hence such same-class pixels can provide spatial information to aid the analysis. Experimental results showed that the proposed STSPM predicted land cover maps more accurately than two comparative state-of-the-art STSPM algorithms.

Citation

Li, X., Chen, R., Foody, G. M., Wang, L., Yang, X., Du, Y., & Ling, F. (2020). Spatio-temporal sub-pixel land cover mapping of remote sensing imagery using spatial distribution information from same-class pixels. Remote Sensing, 12(3), https://doi.org/10.3390/rs12030503

Journal Article Type Article
Acceptance Date Feb 1, 2020
Online Publication Date Feb 4, 2020
Publication Date Feb 1, 2020
Deposit Date Mar 4, 2020
Publicly Available Date Mar 4, 2020
Journal Remote Sensing
Electronic ISSN 2072-4292
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 12
Issue 3
Article Number 503
DOI https://doi.org/10.3390/rs12030503
Keywords General Earth and Planetary Sciences
Public URL https://nottingham-repository.worktribe.com/output/4089998
Publisher URL https://www.mdpi.com/2072-4292/12/3/503

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