Urban Thermal Field Mining Using Remote Sensing Images

DOI

10.2991/wartia-16.2016.275How to use a DOI?

Keywords

Remote Sensing, Data Mining, Urban Thermal Field, Shanghai

Abstract

Information mining of urban thermal field is the key in the study of the urban public security and sustainable development. The moderate-resolution imaging spectroradiometer (MODIS) remote sensing images in 2010 were used to mine the urban thermal field information with the mono window algorithm; furthermore, the relationship between urban thermal field and urban construction land was analyzed. The experimental results show that: (1) the urban thermal field’s intensity in September is at its maximum, following is August and July, the others obviously weaker than in the above three months. (2) the urban construction land has the biggest contribution to the urban thermal field in Shanghai area, and there is a closely relationship between the urban construction land and the urban thermal field.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shiqiang Zhou
AU  - Lan Liu
AU  - Chengfan Li
AU  - Jingyuan Yin
PY  - 2016/05
DA  - 2016/05
TI  - Urban Thermal Field Mining Using Remote Sensing Images
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1317
EP  - 1321
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.275
DO  - 10.2991/wartia-16.2016.275
ID  - Zhou2016/05
ER  -