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遥感技术与应用  2019, Vol. 34 Issue (3): 531-539    DOI: 10.11873/j.issn.1004-0323.2019.3.0531
城市遥感专栏     
基于RSEI的苏锡常城市群生态环境遥感评价
程志峰,何祺胜
(河海大学地球科学与工程学院,江苏 南京 211100)
Remote Sensing Evaluation of the Ecological Environment of Su-Xi-Chang City Group based on Remote Sensing Ecological Index (RSEI)
Cheng Zhifeng,He Qisheng
(School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China)
 全文: PDF(6601 KB)  
摘要:

快速准确掌握地区生态环境质量及其变化分布对于区域生态环境监测与治理、城市建设规划等问题具有重要的参考价值。基于此,以苏锡常城市群为研究区,选取多时相Landsat影像,分别提取湿度、绿度、热度和干度4项指标并通过主成分分析计算遥感生态指数RSEI(Remote Sensing Ecological Index),定量评价2001~2018年间区域生态质量变化情况。结果表明:①2001~2018年间苏锡常地区生态质量呈先下降后回升的趋势。2008年前后先下降17.69%后回升7.69%,其中苏州、无锡回升幅度大于常州;②2008年之后10 a区域生态恶化趋势得到明显遏制,生态恶化区从年均增长5.85%减至2.06%,其中老城区生态质量得到明显改善。③建筑类地物占比上升是生态质量下降的重要原因之一,而逐步回归分析中绿度在4个指标中所占权重最大且与干度权重呈负相关,表明恢复植被覆盖是改善区域生态质量的关键。

Abstract: Obtain regional ecological environment quality and its change distribution rapidly and accurately is of great reference value for regional ecological environment monitoring and governance,urban construction planning and other issues.Based on this,taking the Su-Xi-Chang city group as the research area,the multi-temporal Landsat images were selected to extract the four indexes of humidity,greenness,heat and dryness,respectively,and calculate the RSEI (Remote Sensing Ecological Index) through principal component analysis to quantitatively evaluate the regional Ecological quality changes from 2001 to 2018.The results show that:(1) The ecological quality of the Su-Xi-Chang Region descend first and then pick up from 2001 to 2018.After falling 17.69% in 2008,it recovered 7.69%.Among them,Suzhou and Wuxi have rebounded more than Changzhou.(2) The trend of regional ecological deterioration has been significantly curbed in the decade after 2008.The growth rate of ecological deterioration area has decreased from 5.85% to 2.06% annually,and the ecological quality of the old urban area has been significantly improved.(3) The raise of the proportion of building objects is one of the most important reasons of ecological deterioration,while the greenness has the maximum weight of the four indexes in stepwise regression analysis and the dryness weight were negatively correlated,indicating that the recovery of vegetation coverage is the key to improve the regional ecological quality.
Key words: Remote sensing ecological index    Ecological change    Principal component analysis
收稿日期: 2018-04-25 出版日期: 2019-07-01
ZTFLH:  X87  
基金资助: 国家自然科学基金项目“复杂地形条件下多源遥感数据森林生物量协同反演研究”(41101308)和中央高校基本科研业务费项目(2015B16714)资助。
作者简介: 程志峰(1997-),男,安徽马鞍山人,本科生,主要从事生态遥感方面的研究。E-mail:939761842@qq.com。
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引用本文:

程志峰, 何祺胜. 基于RSEI的苏锡常城市群生态环境遥感评价[J]. 遥感技术与应用, 2019, 34(3): 531-539.

Cheng Zhifeng, He Qisheng. Remote Sensing Evaluation of the Ecological Environment of Su-Xi-Chang City Group based on Remote Sensing Ecological Index (RSEI) . Remote Sensing Technology and Application, 2019, 34(3): 531-539.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.3.0531        http://www.rsta.ac.cn/CN/Y2019/V34/I3/531

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