Research on Urban Green Space Survey Based on Remote Sensing Technology
朱溪月 ZHU Xi-yue
（秦皇岛市测绘大队，秦皇岛 066000）
（Qinhuangdao Surveying and Mapping Brigade，Qinhuangdao 066000，China）
摘要：随着科技飞速发展，遥感技术在生活中的应用变得常见起来，利用遥感实现农业的监测、水质的监测以及自然灾害的评估等等。本文使用秦皇岛市近年的 Landsat 8 OLI_TIRS 遥感影像，通过对图像进行预处理，运用监督分类和非监督分类两种方法进行比较分析得到的秦皇岛市的绿地分布信息，并通过对信息的分析研究，提出有利于城区绿化的建议和措施。本文的特色之处在于：利用遥感技术进行绿地调查，减少人为误差，提高调查精度。
Abstract: With the rapid development of technology, the application of remote sensing technology in daily life has become common, using remote sensing to monitor agriculture, water quality, and assess natural disasters. This article uses Landsat 8 OLI-TIRS remote sensing images of Qinhuangdao City in recent years. By preprocessing the images and comparing and analyzing the distribution information of green spaces in Qinhuangdao City using supervised and unsupervised classification methods, suggestions and measures that are conducive to urban greening are proposed through the analysis and research of the information. The feature of this article lies in the use of remote sensing technology for green space survey, reducing human error and improving survey accuracy.
关键词：遥感影像；监督分类；非监督分类；绿地调查
Key words: remote sensing images；supervision classification；unsupervised classification；green space survey
中图分类号：P237 文献标识码：A 文章编号：1006-4311（2024）30-123-04 doi:10.3969/j.issn.1006-4311.2024.30.036
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