• INFRARED
  • Vol. 43, Issue 8, 44 (2022)
Jing MA1、2, Jun-yao LI1, Ya-qiu ZHANG1, and Yu-ting CAI1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1672-8785.2022.08.007 Cite this Article
    MA Jing, LI Jun-yao, ZHANG Ya-qiu, CAI Yu-ting. Study on Ecological Quality Evaluation of Urban Remote Sensing Based on Mobile Window Method[J]. INFRARED, 2022, 43(8): 44 Copy Citation Text show less

    Abstract

    In order to further improve the accuracy of urban ecological monitoring, the concept of "regional scale" is introduced on the basis of previous studies on urban ecological remote sensing monitoring. And the interaction between different ground objects in a small area is fully considered. The moving window-remote sensing ecology index (MW-RSEI) is used to analyze the remote sensing images based on every pixel in hunnan district of Shenyang. The experimental results show that MW-RSEI model and remote sensing ecology index (RSEI) are consistent in the overall ecological evaluation trend. MW-RSEI has a more obvious representation of detailed regions in urban ecology. Considering the influence of buildings and vegetation around bare land, the proportion of poor ecological area is only 6%, and the proportion of good ecological evaluation is 11%. The results of ecological evaluation in the study area are relatively continuous, and there is no obvious fault phenomenon, which is of practical significance and more consistent with the actual ecological distribution. The MW-RSEI model is more suitable for urban ecological monitoring and can provide technical references for related departments.
    MA Jing, LI Jun-yao, ZHANG Ya-qiu, CAI Yu-ting. Study on Ecological Quality Evaluation of Urban Remote Sensing Based on Mobile Window Method[J]. INFRARED, 2022, 43(8): 44
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