Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Review of Land Cover Classification Based on Remote Sensing Data

Authors
Yi Wang, Ming-Yuan He, Jie Xiang, Ze-Ming Zhou
Corresponding Author
Yi Wang
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.152How to use a DOI?
Keywords
Land cover classification; Land use; remote sensing data.
Abstract
Land use and land cover change is one of the focuses in the study of global change in recent year. Land cover characteristics, at the global and regional scale, are very important for evaluating global environment status and simulating global environment scenario in the future. In order to provide some useful reference for this kind of study in China, the paper introduces the most recent progresses of international researches on land cover classification from four aspects including remote sensing data, classification method, land cover classification system and outcome comparison. The author believes making a classification system not only reflects the Chinese condition but also being compatible with other international systems, building a public and updating land use/cover database, are the most important things to be solved.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.152How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yi Wang
AU  - Ming-Yuan He
AU  - Jie Xiang
AU  - Ze-Ming Zhou
PY  - 2016/12
DA  - 2016/12
TI  - Review of Land Cover Classification Based on Remote Sensing Data
PB  - Atlantis Press
SP  - 751
EP  - 756
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.152
DO  - https://doi.org/10.2991/icwcsn-16.2017.152
ID  - Wang2016/12
ER  -