刘权毅, 詹庆明, 李建松, 杨晨, 刘稳. 珞珈一号夜间灯光影像在建设用地提取中的应用:以武汉市为例[J]. 武汉大学学报 ( 信息科学版), 2021, 46(1): 30-39. DOI: 10.13203/j.whugis20190376
引用本文: 刘权毅, 詹庆明, 李建松, 杨晨, 刘稳. 珞珈一号夜间灯光影像在建设用地提取中的应用:以武汉市为例[J]. 武汉大学学报 ( 信息科学版), 2021, 46(1): 30-39. DOI: 10.13203/j.whugis20190376
LIU Quanyi, ZHAN Qingming, LI Jiansong, YANG Chen, LIU Wen. Extracting Built-up Areas Using Luojia-1A Nighttime Light Imageries in Wuhan, China[J]. Geomatics and Information Science of Wuhan University, 2021, 46(1): 30-39. DOI: 10.13203/j.whugis20190376
Citation: LIU Quanyi, ZHAN Qingming, LI Jiansong, YANG Chen, LIU Wen. Extracting Built-up Areas Using Luojia-1A Nighttime Light Imageries in Wuhan, China[J]. Geomatics and Information Science of Wuhan University, 2021, 46(1): 30-39. DOI: 10.13203/j.whugis20190376

珞珈一号夜间灯光影像在建设用地提取中的应用:以武汉市为例

Extracting Built-up Areas Using Luojia-1A Nighttime Light Imageries in Wuhan, China

  • 摘要: 城市建设用地能够反映城市建设发展在地域空间上的分布形态,是规划主管部门监测城市建设和扩张的关键指标。2018-06-02发射的珞珈一号卫星可提供130 m分辨率的夜间灯光数据,在城市建设用地的提取方面具有较大潜力。首先整合珞珈一号夜间灯光影像与Landsat 8多光谱影像以及网络地图兴趣点数据;然后分别采用人类居住合成指数和阈值法对武汉市进行建设用地提取;最后与可见光红外成像辐射仪(visible infrared imager radiometer suite, VIIRS)夜间灯光影像采用相应方法得到的结果进行对比。结果发现,珞珈一号影像与Landsat影像整合后采用人类居住合成指数的方法提取的建设用地最准确,其Kappa系数为0.769;VIIRS与Landsat 8影像整合后采用相同方法得到的建设用地,其Kappa系数为0.702;夜间灯光影像与兴趣点数据结合进行建设用地提取的精度有所下降,兴趣点数据分别与珞珈一号、VIIRS夜间灯光影像结合得到的建设用地,其Kappa系数分别为0.618、0.574;珞珈一号、VIIRS夜间灯光影像采用简单阈值法进行建设用地提取,其Kappa系数分别为0.503、0.482。该实验结果表明, 珞珈一号夜间灯光影像数据具有更高的空间分辨率和更加丰富的空间细节,是进行城市建设用地提取的理想数据源。

     

    Abstract: The extent of urban built-up areas is important to understand the current status and development of cities, also is one of the preconditions to implement the control of urban boundaries and manage the layout of urban functional space. In the past, the accuracy of urban built-up areas extraction using nighttime light imageries is often limited by data resolution and spatial scales. The Luojia-1A satellite, launched on 2018-06-02, provides a new source of nighttime light data at 130-meter resolution, which has great potential in extent extraction of urban built-up areas. In this paper, integrating Luojia-1A nighttime light data with Landsat 8 multispectral imageries and point of interest (POI), the extent of built-up areas in Wuhan, China has been extracted using human settlement index (HSI) and thresholds, respectively. The results of Luojia-1A data have been compared with results obtained from visible infrared imager radiometer suite (VIIRS)data using corresponding methods. The results show that the extracted urban extent extracted by HSI using Luojia-1A data possesses the highest accuracy, with a Kappa coefficient of 0.769. Correspondingly, the Kappa coefficient of built-up areas extent obtained by HSI method using VIIRS data is 0.702. The accuracies of urban extent extracted by integrating Luojia-1A and VIIRS images with POIs are relatively lower, which have respectively present Kappa coefficients of 0.618 and 0.574. The Kappa coefficients of extraction accuracies using simple thresholds segementation(STS) method form raw Luojia-1A and VIIRS images are 0.503 and 0.482. The results reveal that Luojia-1A nighttime light data benefit urban extent extraction for its finer resolution and more abundant spatial details, compared with its predecessors such as DMSP/OLS and VIIRS.

     

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