[1]赵选,范辰乾,李乐,等. 西安城区植被光谱组分特征与变化信息提取[J].西北林学院学报,2023,38(4):241-249.[doi:10.3969/j.issn.1001-7461.2023.04.30]
　ZHAO Xuan,FAN Chen-qian,LI Le,et al. Spectral Component Characteristics and Change Information Extraction of the Vegetations in Xi’an[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2023,38(4):241-249.[doi:10.3969/j.issn.1001-7461.2023.04.30]
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 西安城区植被光谱组分特征与变化信息提取()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第38卷
期数:
2023年第4期
页码:
241-249
栏目:
出版日期:
2023-07-31

文章信息/Info

Title:
 Spectral Component Characteristics and Change Information Extraction of the Vegetations in Xi’an
文章编号:
1001-7461(2023)04-0241-09
作者:
 赵选1; 范辰乾1; 李乐1; 朱亚红2
 (1.自然资源部第一地理信息制图院，陕西 西安 710054；2.陕西省林业调查规划院，陕西 西安 710082)
Author(s):
 ZHAO Xuan1; FAN Chen-qian1; LI Le1; ZHU Ya-hong2
 (1.The First Geographic Information Mapping Institute,Ministry of Natural Resources,Xi’an 710054,Shaanxi,China; 2.Shaanxi Forestry Survey and Planning Institute,Xi’an 710082,Shaanxi,China)
关键词:
 ; 城市植被; 线性光谱混合模型; 遥感; 时空变化
Keywords:
 ; urban vegetation;  linear spectral mixing model;  remote sensing;  spatio-temporal change
分类号:
S771.8
DOI:
10.3969/j.issn.1001-7461.2023.04.30
文献标志码:
A
摘要:
 近些年来，由于西安城区发展迅速而导致生态环境保护和城市发展矛盾突出，传统的遥感分类方法已经无法满足城市植被监测精度要求。如何从植被光谱组分特征出发，快速精准地进行城市植被动态监测值得研究。以2016、2019、2022年3期Landsat数据为主要信息源，基于线性光谱混合模型（LSMM）和变化区域格网分析等方法，对西安城区植被组分时空变化规律及影响因素进行分析。结果表明：1）2016-2022年平均植被覆盖度达到50%，达到国家园林城市标准，且整体植被覆盖度较高。2）西安城区植被变化剧烈，其中2016-2022年36.54%低覆盖植被、28.26%中覆盖植被、22.98%高覆盖植被维持不变，三环边缘西北、东北、西南和东南4个区域植被变化显著。3）2016-2019年植被质量有所降低；2019-2022年植被质量整体向好的方向发展，主要归结于城市建设和城市绿化工程。研究结果一方面可快速获取城市植被动态变化信息，另一方面可为城市生态环境保护规划提供建议和数据支持。
Abstract:
 In recent years,the rapid development of urbanization has resulted in prominent conflict between the social development and ecological environment,from which the traditional classification method of remote sensing classification can not meet the high requirement of urban vegetation monitoring.How to carry out rapid and accurate monitoring of urban vegetation dynamics from the characteristics of vegetation spectral components is worth studying.Taking the Landsat images of 2016,2019 and 2022 as the main information sources,this research analyzed the law of the spatio-temporal changes of the vegetation components in Xi’an urban area and influencing factors based on linear spectral mixing model (LSMM).The results showed that 1) from 2016 to 2022,the average vegetation coverage reached more than 50%,meeting the national standard for garden cities,and the overall vegetation coverage was high.2) From 2016 to 2022,36.54% of the low-cover vegetation,28.26% of the medium-cover vegetation and 22.98% of the high-cover vegetation remained unchanged,and the vegetation in the northwest,northeast,southwest and southeast regions at the edge of the Third Ring Road changed significantly.3) From 2016 to 2019,the quality of vegetation decreased,while from 2019 to 2022,the overall vegetation quality had been improved mainly due to urban construction and urban greening projects.This study can quickly obtain the dynamic change information of urban vegetation,on the other hand,it provides suggestions and data support for urban ecological environment protection planning.

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备注/Memo

备注/Memo:
 收稿日期：2023-01-01 修回日期：2023-03-14
基金项目：“十三五”国家重点研发计划（2016YFD060020305）。
第一作者：赵选，博士。研究方向：“3S”技术在资源环境中的应用。E-mail:zx666@nwafu.edu.cn
更新日期/Last Update: