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Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery
摘要： Luojia 1-01 satellite, launched on 2 June 2018, provides a new data source of nighttime light at 130 m resolution and shows potential for mapping urban extent. In this paper, using Luojia 1-01 and VIIRS nighttime light imagery, we compared several methods for extracting urban areas, including Human Settlement Index (HSI), Simple Thresholding Segmentation (STS) and SVM supervised classification. According to the accuracy assessment, the HSI method using LJ1-01 data had the best performance in urban extent extraction, which presented the largest Kappa Coefficient value, 0.834, among all the results. For the urban areas extracted by VIIRS based HSI method, the largest Kappa Coefficient value was 0.772. In contrast, the largest Kappa Coefficient values obtained by STS method were 0.79 and 0.7512 respectively when using LJ1-01 and VIIRS data, while for SVM method the values were 0.7829 and 0.7486 when using Landsat-LJ and Landsat-VIIRS composite data respectively. The experimented results demonstrated that the utilization of nighttime light imagery can largely improve the accuracy of urban extent extraction and LJ1-01 data, with a higher resolution and more abundant spatial information, can lead to better identification results than its predecessors.
关键词： VIIRS DNB,urban areas,LJ1-01 data,nighttime light imagery,human settlement index
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Improving Impervious Surface Estimation by Integrating Multispectral and Nighttime Light Images
摘要： The extension of impervious surface serves as a key indicator of urbanization and environmental quality. This paper explores the integrated use of Landsat imagery and nighttime light (NTL) imagery for impervious surface mapping. An optical and NTL based spectral mixture analysis (ON_SMA) at sub-pixel level is proposed where local endmembers are used and adaptive endmember sets are selected based on the information provided by both sensors. Results illustrate that comparing with optical based spectral mixture analysis, the proposed approach yields effective improvement in impervious surface detection due to the contribution of the NTL data. The findings highlight the potential of combining optical and NTL data for earth observation, which provide opportunities for new applications.
关键词： spectral mixture analysis,Impervious surface,nighttime light imagery,Landsat
更新于2025-09-10 09:29:36