Dynamic Monitoring of Ecological Quality in Eastern Ukraine Amidst the Russia-Ukraine Conflict - Details

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Zhang, C. (Zhang, C..) ^[1] | Xu, Z. (Xu, Z..) ^[2] | Yang, Y. (Yang, Y..) ^[3] | Sun, L. (Sun, L..) ^[4] | Li, H. (Li, H..) ^[5]

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Abstract：

To　evaluate　the　spatiotemporal　changes　in　the　ecological　environment　of　eastern　Ukraine　since　the　Russia-Ukraine　conflict,　this　study　used　MODIS　images　from　March　to　September　2020　and　2022　to　calculate　the　Remote　Sensing–Based　Ecological　Index.　In　2022,　compared　with　2020,　conflict　zones　exhibited　reduced　improvement　and　increased　slight　degradation,　whereas　nonconflict　areas　showed　marginal　enhancement.　Through　propensity　score　matching,　the　research　con-firmed　the　causal　relationship　between　conflict　and　ecological　trends.　Pathway　analysis　revealed　that　the　conflict　contributed　to　0.016　units　increase　in　ecological　quality　while　reducing　the　improvement　rate　by　0.042　units.　This　study　provides　empirical　support　for　understanding　the　correlation　between　conflicts　and　specific　environmental　factors,　offering　technical　references　for　ecological　quality　assessments　in　other　conflict　areas　and　future　evaluations　by　the　Ukrainian　government.　©　2024　American　Society　for　Photogrammetry　and　Remote　Sensing.

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[ 1 ] [Zhang C.]College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
[ 2 ] [Xu Z.]College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
[ 3 ] [Xu Z.]Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, 350108, China
[ 4 ] [Yang Y.]College of Environment and Safety Engineering, Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou, 350108, China
[ 5 ] [Sun L.]Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, 350108, China
[ 6 ] [Li H.]Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, The Academy of Digital China, Fuzhou University, Fuzhou, 350108, China

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Photogrammetric Engineering and Remote Sensing

ISSN： 0099-1112

Year： 2024

Issue： 7

Volume： 90

Page： 427-435

1 . 0 0 0

JCR@2023

CAS Journal Grade：4

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