Monitoring urban ecological parameters using remotely sensed data

Taiyang Zhong; Xianjing Huang; Yuandan Ma

doi:10.1117/12.831393

30 October 2009 Monitoring urban ecological parameters using remotely sensed data

Taiyang Zhong, Xianjing Huang, Yuandan Ma

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74980K (2009) https://doi.org/10.1117/12.831393
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Urban ecological parameters, such as land surface emissivity, temperature, and dryness, play important role in urban ecological system. The present study aimed to explore these ecological parameters using Landsat ETM+ data. The land surface emissivity (LSE) was calculated from the normalized vegetation index (NDVI) considering different cases; land surface temperature (LST) was retrieved from the thermal band based on the method of mono-window algorithm; and land surface dryness (LSD) was derived from the NDVI via LST space, in which the two edges for the minimum and maximum LST values (LSTmin and LSTmax) were simulated using NDVI values. The results showed that there was an obvious gradient as progressed from the core city out into the countryside for the three parameters. The values for LST and LSD over water surface and vegetated surface were obvious lower than that over impervious surface, demonstrating water and vegetation had the ability to improve environmental quality. These simulation results could provide quantitative evaluations and suggestions for the environmental planning and management by government.

Citation Download Citation

Taiyang Zhong, Xianjing Huang, and Yuandan Ma "Monitoring urban ecological parameters using remotely sensed data", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980K (30 October 2009); https://doi.org/10.1117/12.831393

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