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Integration of Multi-Source Remote Sensing Data for Spatial-Temporal Change Monitoring of Ecological Environment in the Yellow River Delta  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Integration of Multi-Source Remote Sensing Data for Spatial-Temporal Change Monitoring of Ecological Environment in the Yellow River Delta

作者:Liu, Chunting[1];Ma, Yin[2];Liu, Xiaoqian[3]

第一作者:Liu, Chunting

通讯作者:Liu, XQ[1]

机构:[1]Shandong Jianzhu Univ, Sch Surveying & Geo Informat, Jinan, Shandong, Peoples R China;[2]China Univ Geosci, Sch Informat Engn, Beijing, Peoples R China;[3]Beijing Union Univ, Coll Appl Arts & Sci, Beijing, Peoples R China

第一机构:Shandong Jianzhu Univ, Sch Surveying & Geo Informat, Jinan, Shandong, Peoples R China

通讯机构:[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, Beijing, Peoples R China.|[114172]北京联合大学应用文理学院;[11417]北京联合大学;

年份:2022

卷号:31

期号:5

起止页码:4757-4765

外文期刊名:POLISH JOURNAL OF ENVIRONMENTAL STUDIES

收录:;Scopus(收录号:2-s2.0-85138675669);WOS:【SCI-EXPANDED(收录号:WOS:000888867900024)】;

基金:This research was supported by National Natural Science Foundation of China (41877523).

语种:英文

外文关键词:ecological environment; remote sensing; comprehensive evaluation index; high-efficiency ecological economic zone in Yellow River Delta

摘要:Rapid and timely evaluation of ecological environment change is of great significance to the sustainable development of the region. Owing to climate change and more anthropological intervention, ecological environment is deteriorating in the Yellow River Delta High-Efficiency Ecological Economic Zone (YRDHEEZ). To evaluate ecological environment change of the YRDHEEZ, a comprehensive evaluation index (CEI) was built in this investigation, which integrated vegetation cover (VC), land surface temperature (LST) and fine particulate matter ( PM2.5) concentration. The experimental results demonstrated that significant regional differences existed in the ecological environment of the YRDHEEZ from 2000 to 2018. The ecological environmental changes in most districts and counties are complex and diverse. More specifically, regions with improvement, moderate improvement and the unchanged ecological environment accounted for more than 70 % of the study area, which suggested that the ecological environment has improved. In order to further verify the validity of the CEI, a field survey was performed, and it found that the result of field survey corresponded with the CEI evaluation, which demonstrated the potential of multi-source remote sensing data to quickly monitor the change of ecological environment quality in the YRDHEEZ.

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