Application of domestic low-cost micro-satellite images in urban bare land identification
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摘要: 低成本微小卫星及其星座组成是近年来卫星遥感领域发展的重要方向之一,可有效弥补单一卫星过境频次过少和组网成本过高的问题。遥感卫星监测具有覆盖面广、不易受人为干扰的优点,是生态环境领域获取裸地信息的重要手段。该文基于国产微景系列低成本微小卫星的遥感影像数据开展了城市裸地识别的探索性研究,并将其结果与美国陆地系列卫星(Landsat8)影像进行了对比分析,探讨国产微小卫星在生态环境领域裸地识别应用中的可靠性。以山东省日照市东港区城区为研究区域,构建无监督植被指数(ExG-ExR)和最大似然法结合的提取方法,并加以应用。结果表明: ①微景一号02星拍摄的5 m空间分辨率全色影像能清晰反映研究城区现状,影像具有高空间分辨率,对地物细节拍摄更清楚,但相比Landsat8影像缺乏波段优势; ②微景一号02星影像总分类精度为93.3%,Kappa系数可达到0.85,微景系列小卫星在裸地识别具有一定的可靠性; ③微景一号02卫星与Landsat8卫星提取日照东港城区裸地面积相差1.5个百分点,表明在拍摄时间相近和一致地理坐标校正情况下,算法得当,微景系列小卫星在裸地识别方面具有与传统主流卫星相当的城区裸地反演识别能力。Abstract: Low-cost microsatellites and their constellations are important directions in the development of satellite remote sensing in recent years. This is because they can effectively alleviate the questions such as the low transit frequency of a single satellite and the high networking cost of satellites. Monitoring using remote sensing satellites is an important means to obtain bare land information in the ecological field owing to its wide coverage area and immunity to man-made interference. This study carried out exploratory research on urban bare land identification using the remote sensing images of low-cost micro-satellites of MV-1 Constellation. The identification results were compared to those obtained using Landsat8 images to explore the reliability of the implication of domestic low-cost micro-satellite images in urban bare land identification. To this end, this study selected Donggang District, Rizhao City, Shandong Province as an example and developed the extraction method that combines unsupervised vegetation indices-excess green and excess red (ExG-ExR)-with the maximum likelihood method. The results are as follows. ① The panchromatic images with a resolution of 5 m that were shot by Micro-satellite No. 02 of MV-1 Constellation can clearly reflect the current status of Donggang District. They have higher resolution and perform better in capturing details of ground features. However, they lack wave band advantages over Landsat8 images. ② The images of Micro-satellite No. 02 had an overall classification accuracy of 93.3% and a Kappa coefficient of up to 0.85. Therefore, the micro-satellites of MV-1 Constellation are reliable in bare land identification to some extent. ③ The difference between the bare land area in the Donggang urban area identified using Micro-satellite No. 02 images and Landsat8 images was 1.5 percentage points. This indicates that micro-satellites of MV-1 Constellation have equivalent inversion capacity in urban bare land identification to mainstream satellites under the conditions of proper algorithms, close shooting time, and consistent geo-coordinate correction.
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Key words:
- microsatellite /
- bare land inversion /
- satellites of MV-1 Constellation
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