Evaluation of Ecological Environmental Quality based on Multi-Temporal Remote Sensing Data

  • Jie Li
  • , Kun Tan
  • , Depin Ou
  • , Yu Chen
  • , Kailei Xu
  • , Jianwei Ding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The quality of ecological environment is closely related to human life and the method of the evaluating the ecological environmental quality is the main factors for the accuracy of the models. We proposed a novel Ecological Environmental Quality Evaluation (EEQE) model which is constructed by combining the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Principal Component Analysis method (PCA) etc. The natural factors, meteorological factors, topographical factors and anthropogenic activities factors are also considered in the EEQE model which can be utilized to effectively assess the quality of the ecological environment. The results showed that the ecological environmental quality of five cities with good level and excellent level is most about 80%. Besides, we also analyzed the correlations between ecological environmental quality and the impact factors. The results indicate that the dominant factors of the ecological environment quality in Huai'an, Lianyungang, Suqian, Xuzhou and Yancheng are precipitation, land surface temperature, net primary productivity, wetness and slope respectively.

Original languageEnglish
Title of host publication2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728146157
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2019 - Shanghai, China
Duration: 5 Aug 20197 Aug 2019

Publication series

Name2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2019

Conference

Conference10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2019
Country/TerritoryChina
CityShanghai
Period5/08/197/08/19

Keywords

  • DEMATEL
  • PCA
  • ecological environmental quality evaluation
  • impact factors
  • multi-Temporal remote sensing

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