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作 者:马晶[1,2] 李鋆垚 张亚球 蔡宇婷 MA Jing;LI Jun-yao;ZHANG Ya-qiu;CAI Yu-ting(Changchun Institute of Technology,Changchun 130021,China;Key Laboratory for Aerial Remote Sensing Technology of National Administration of Surveying,Mapping and Geoinformation,Beijing 100039,China)
机构地区:[1]长春工程学院,吉林长春130021 [2]航空遥感技术国家测绘地理信息局重点实验室,北京100039
出 处:《红外》2022年第8期44-52,共9页Infrared
基 金:航空遥感技术国家测绘地理信息局重点实验室经费资助课题(2014B09)。
摘 要:为进一步提高城市生态监测的精确度,在前人开展的城市生态遥感监测研究的基础上引入“区域尺度”的概念,充分考虑小区域范围内不同地物间的交互作用,并利用移动窗口模型(Moving Window-Remote Sensing Ecology Index,MW-RSEI)对沈阳市浑南区的遥感影像进行逐像元分析。实验结果表明,MW-RSEI模型和生态遥感监测模型(Remote Sensing Ecology Index,RSEI)在整体生态评价趋势上表现出一致性。但MW-RSEI模型对城市生态中的细节区域表征更明显。考虑到建筑及裸地周围植被的影响,其较差生态区域的占比仅为6%,生态评价为优的区域占比为11%。研究区生态评价结果表现得较为连续,并未出现明显的断层现象。该结果具有现实意义且与实际生态分布更为符合。MW-RSEI模型在城市生态监测中更为适用,可为相关部门提供一定的技术参考。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.
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