Urban ecological environment monitoring and evaluation based on remote sensing ecological index

Peng-gen Cheng; Cheng-zhuo Tong; Xiao-yong Chen; Yun-ju Nie

doi:10.1117/12.2207385

9 December 2015 Urban ecological environment monitoring and evaluation based on remote sensing ecological index

Peng-gen Cheng, Cheng-zhuo Tong, Xiao-yong Chen, Yun-ju Nie

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98083Z (2015) https://doi.org/10.1117/12.2207385
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

At present, the dynamic change monitoring of urban ecological environment has became an important guarantee measure for urban management, planning and construction. In this paper, taking Nanchang city as a case study, the remote sensing ecological index (RSEI) which is based on the natural factors is used to study the changes of the urban ecological environment. The Landsat images in the three different time periods of 1996, 2005, and 2013 in Nanchang were selected. To extract the four factors of green level, moisture, dryness and heat respectively as sub-indexs of the ecological assessment, in which the single window algorithm was used to calculate the heat. Based on the four factors, the RSEI in each year was finally calculated. The results show that the ecological environment in Nanchang deteriorated in the past 17 years, the value of the RSEI has decreased from 0.385 in 1996 to 0.267 in 2005, falling by 30.65%, but the ecological environment has improved in the later period, with the value of RSEI value rising to 0.413, increased by 54.68% compared with the results in 2005. It is indicates that the urban ecological environment of Nanchang has been significantly improved after some effective measures such as urban greening, pollution control, environmental protection were taken.

Citation Download Citation

Peng-gen Cheng, Cheng-zhuo Tong, Xiao-yong Chen, and Yun-ju Nie "Urban ecological environment monitoring and evaluation based on remote sensing ecological index", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083Z (9 December 2015); https://doi.org/10.1117/12.2207385

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