Modeling the satellite instrument visibility range for detecting underwater targets

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Jun Chen , Wenting Quan , Xianqiang He , Ming Xu , Caipin Li , Delu Pan
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Abstract

To assess the ability of a satellite instrument to detect submerged targets, we constructed a semi-analytical relationship to link target reflectance and the contrast threshold of the satellite instrument to visibility ranges. Using numerical simulation, we found that the contrast threshold of the satellite instrument was equal to 50 % of the residual error contained in satellite Rrs data. We evaluated our model using known sea depths of optically shallow water and found that the model produced ∼ 16 % uncertainty in retrieving the visibility range around the edge of the optically shallow water. By comparison, the contrast threshold of the human eye was more than 20 times larger than the satellite instrument contrast threshold. In addition, using a Secchi disk submerged in the shallow water, we found that the Secchi disk was invisible to the human eye when the disk was still visible to a high-quality camera handheld or mounted on an unmanned aerial vehicle. Moreover, when the image data quality was as well as MODIS instrument, we found that the maximum instrument visibility range reached 130 m in theory, which was approximately four times larger than the maximum reached by the human eye. Our findings suggest that high-quality cameras such as satellite instruments are more effective than the human eye for detecting underwater targets.
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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
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.
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