Urban Green Space in Formation Extraction Based on High Resolution Image in Dalian City

城市绿地是衡量城市生态质量和生态平衡的主要标准，因此，城市的绿地信息对于整个的生态环境现在甚至未来的影响都十分重要。目前，高分辨率遥感影像已然成为城市绿地信息快速提取的重要数据来源。所以，如何充分处理和应用高分辨率遥感影像对城市绿地信息的分析和研究具有十分重要意义。本文是以大连市中山区为研究区，以哨兵二号L2A级遥感影像为基础，对中山区整个城区进行绿地分类，使用SNAP、ENVI和ArcGIS三种软件进行分析提取，根据2019、2020和2021三年的绿地数据对比分析形成中山区绿地现状的原因。Urban greening level is the main standard to measure the quality and balance of urban ecological environment. Therefore, urban green space information is very important for the whole ecological environment now and even in the future. At present, high resolution remote sensing image has become an important data source for rapid extraction of urban green space information. How to fully process and apply high resolution benchmarking image is of great significance to the study of urban green space information. This paper is based on Sentinel-2 L2A remote sensing satellite in Zhongshan District of Dalian city. Carry on the green space classification to the whole urban area of Zhongshan District. SNAP, ENVI and ARCGIS were used to extract green space. According to the data of green space in 2019, 2020 and 2021, the reasons for the current status of green space in the central and mountainous areas were analyzed.