Remote Sensing Image Interpretation for Urban Environment Analysis: Methods, System and Examples

Remote Sensing

Peijun Du¹  Pei Liu²  Junshi Xia⁴  Li Feng¹  Sicong Liu⁵  Kun Tan³ 

[1] Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China; E-Mail:;School of Survey and Mapping, Henan Polytechnic University, Jiaozuo 454003, China; E-Mail:Jiangsu Key laboratory of Resources and Environment Information Engineering, China University of Mining and Technology, Xuzhou 221116, China;;GIPSA-lab, Grenoble Institute of Technology, F-38400 Grenoble, France; E-Mail:;Remote Sensing Laboratory, University of Trento, I-38123 Trento, Italy; E-Mail:

关键词: urban remote sensing;    Urban Environment Analysis System (UEAS);    Land Use/Land Cover (LULC) classification;    Urban Heat Islands (UHIs);    Land Surface Temperature (LST);    Change Detection (CD);   

DOI  :  10.3390/rs6109458

来源: mdpi

【 摘 要 】

Remote sensing imagery has been widely used in urban growth and environment analysis with many effective and advanced strategies being developed. However, most of these approaches are separated from each other. There is an urgent need to combine different modules into some practical processing chains. Firstly, we present a comprehensive analysis of key processing chains in applying remote sensing images to urban environment analysis from such aspects as Land Use/Land Cover (LULC), urban landscape ecology, Urban Heat Islands (UHIs), vegetation and water monitoring, change detection, urban ecological security assessment and urban environmental mapping. Secondly, an integrated system, namely Urban Environment Analysis System (UEAS), is implemented based on the aforementioned processing chains to analyze urban environment using multi-temporal and multi-source remotely sensed data. Several case studies are demonstrated to confirm the effectiveness of the integrated system and the combined processing chains. The contributions of this paper lie in introducing ensemble learning to urban environment remote sensing, combining remote sensing derived information with thematic models for urban environment assessment, and developing an integrated system for urban environment analysis.

【 授权许可】

CC BY   
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