Nighttime fog and low stratus detection under multi-scene and all lunar phase conditions using S-NPP/VIIRS visible and infrared channels

IF 10.6 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

ISPRS Journal of Photogrammetry and Remote Sensing Pub Date : 2024-10-21 DOI:10.1016/j.isprsjprs.2024.10.014

Jun Jiang , Zhigang Yao , Yang Liu

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引用次数: 0

Abstract

A scheme for satellite remote sensing is proposed to detect nighttime fog and low stratus (FLS) by combining visible, mid-infrared, and far-infrared channels. The S-NPP/VIIRS dataset and ERA5 reanalysis data are primarily used, and a comprehensive threshold system is established through statistical analysis, simulation calculations, and sensitivity experiments. 98 cases of nighttime FLS occurring from 2012 to 2020 in China, the United States, and surrounding areas are selected for algorithm validation, utilizing the global surface meteorological observations as comparison data. Preliminary results from the analysis of four typical cases indicate that the algorithm is temporally suitable for all lunar phase conditions from new moon to full moon at night, and spatially applicable to various types of underlying surfaces. The accuracy evaluation results of 14,378 satellite-ground matching samples further show that the algorithm has high accuracy overall, with a POD of 0.86, CSI of 0.81, and FAR of 0.06. The accuracy is highest in winter, lowest in summer, and intermediate in spring and autumn. The missed detections and false alarms predominantly occur at the edge of clouds, which may be caused by parallax and time difference between satellite and ground observations.

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利用 S-NPP/VIIRS 可见光和红外通道，在多场景和所有月相条件下探测夜间雾和低层云

提出了一种卫星遥感方案，通过结合可见光、中红外和远红外通道来探测夜间雾和低层云（FLS）。主要使用 S-NPP/VIIRS 数据集和 ERA5 再分析数据，并通过统计分析、模拟计算和灵敏度实验建立了一个全面的阈值系统。利用全球地面气象观测数据作为对比数据，选取了 2012 年至 2020 年发生在中国、美国及周边地区的 98 个夜间 FLS 案例进行算法验证。对四个典型案例的初步分析结果表明，该算法在时间上适用于夜间从新月到满月的所有月相条件，在空间上适用于各种类型的底面。对 14378 个卫星-地面匹配样本的精度评估结果进一步表明，该算法总体精度较高，POD 为 0.86，CSI 为 0.81，FAR 为 0.06。准确率在冬季最高，夏季最低，春季和秋季居中。漏检和误报主要发生在云层边缘，这可能是由于视差和卫星与地面观测的时间差造成的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术

CiteScore

21.00

自引率

6.30%

发文量

273

审稿时长

40 days

期刊介绍： The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.