Publications

Zhou, SQ; Liu, L; Li, CF; Yin, JY (2016). Urban Thermal Field Mining Using Remote Sensing Images. PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS, 81, 1319-1323.

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.

DOI:

ISSN:
2352-5401