Zhang Juan, Wen Guangchao, Wang Enying, et al. Dynamic Monitoring and Evaluation of Ecological Environment at Jiaozuo City Based on Remote Sensing Ecological Index[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 107-114.
DOI:
Zhang Juan, Wen Guangchao, Wang Enying, et al. Dynamic Monitoring and Evaluation of Ecological Environment at Jiaozuo City Based on Remote Sensing Ecological Index[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 107-114. DOI: 10.13961/j.cnki.stbctb.2020.06.016.
Dynamic Monitoring and Evaluation of Ecological Environment at Jiaozuo City Based on Remote Sensing Ecological Index
[Objective] The evolution of ecological environment at Jiaozuo City
He'nan Province in the past 20 years was studied in order to provide reference for the transformation of other resource exhausted cities.[Methods] The data of five Landsat image data are selected
which included images in 2000
2006
2009
2014 and 2019. The index system including four indicators of green degree
humidity
temperature and dryness
and a evaluation model of remote sensing ecological index (RSEI) was established by principal component analysis
which could evaluate quantitatively the ecological environment quality of Jiaozuo City.[Results] ① From 2000 to 2014
the ecological environment of Jiaozuo City can be presented by shape of an inverted "U"
and the quality of ecological environment rose in the next five years. ② The slow urbanization process and the transformation of industrial structure from the secondary industry to the tertiary industry have improved the ecological environment quality of Jiaozuo City. ③ In the regression analysis
the importance of the four selected indicators on the ecological environment in Jiaozuo City was:dryness > humidity > greenness > heat.[Conclusion] Remote sensing ecological index can effectively monitor and evaluate the ecological environment quality of resource exhausted cities.
Baig M H A, Zhang L, Shuai T, et al. Derivation of a tasselled cap transformation based on Landsat 8 at satellite reflectance[J]. Remote Sensing Letters, 2014,5(5):423-431.