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Coastal wetland change detection using high spatial resolution KOMPSAT-2 imagery

机译:使用高空间分辨率Kompsat-2图像沿海湿地改变检测

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Coastal wetlands store terrestrial carbon and conserve biodiversity, thus playing an essential ecological role. Reliable regional-scale assessments of wetland dynamics, such as analysis of land use and land cover (LULC), and coastal monitoring, provide important hydrographical and socio-geographical information. Remote sensing images, such as Earth Observation satellite data, are useful for examining temporal LULC changes and providing environmental monitoring data. This study presents a method of mapping and monitoring changes in coastal LULC using classified multispectral images acquired by the Korea Multi-Purpose Satellite-2 (KOMPSAT-2). Wetland changes are monitored in three different protected tidal flats areas on the coastal boundary of the Korean Peninsula with the Yellow Sea, for the period of 2008 - 2015. High overall accuracy and Kappa coefficient values for the accuracy assessment indicate the suitability of LULC classification using high spatial resolution KOMPSAT imagery, even when an unsupervised classification approach is adopted. The LULC maps were analyzed and evaluated using post-classification change detection methods. Results showed spatial decreases of 6 and 20% for mixed forest and wetlands in the Gyeonggi area, respectively, but no significant changes over time for Jeonbuk and Jeonnam. There was a 12% increase in developed areas for Gyeonggi but only 1.9 and 6% for Jeonbuk and Jeonnam, respectively. LULC change is thus easily identified through a pixel-based analysis of multispectral KOMPSAT-2 images over time. Such data are useful for environmental and policy managers when developing advanced coastal management strategies.
机译:沿海湿地储存陆地碳并保护生物多样性,从而起到重要的生态作用。可靠的湿地动力学区域规模评估,如土地利用分析和土地覆盖(LULC)和沿海监测,提供重要的水文和社会地理信息。遥感图像(例如地球观察卫星数据)可用于检查时间LULC变化并提供环境监测数据。本研究提出了一种使用由韩国多功能卫星卫星-2(Kompsat-2)获取的分类的多光谱图像沿海LULC进行映射和监测变化的方法。在2008年至2015年的韩国半岛沿海边界的三个不同保护的潮汐平板区域中监测湿地改变。精度评估的高总体精度和κ系数值表明LULC分类使用的适用性高空间分辨率Kompsat图像,即使采用无监督的分类方法。使用分类后变更检测方法分析和评估LULC地图。结果表明,京畿道中的混合林和湿地的空间减少了6%和20%,但Jeonuk和Jeonnam的时间随着时间的推移没有重大变化。 Gyeonggi的发达领域增加了12%,但Jeonbuk和Jeonnam的发达区域也仅为1.9%和6%。因此,通过基于像素的基于像素Kompsat-2图像的分析随时间的基于像素的分析,可以容易地识别LULC的变化。在制定先进的沿海管理策略时,这些数据对于环境和政策管理人员有用。

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