On the capacity of Sentinel-1 synthetic aperture radar in detecting floating macroalgae and other floating matters

被引:32
|
作者
Qi, Lin [1 ,2 ]
Wang, Menghua [1 ]
Hu, Chuanmin [3 ]
Holt, Benjamin [4 ]
机构
[1] NOAA, Ctr Satellite Applicat & Res, College Pk, MD 20740 USA
[2] Global Sci & Technol Inc, Greenbelt, MD USA
[3] Univ S Florida, Coll Marine Sci, St Petersburg, FL USA
[4] CALTECH, Jet Prop Lab, Pasadena, CA USA
关键词
Remote sensing; Sentinel-1; Sentinel-2; SAR; MSI; Macroalgae; Ulva Prolifera; Sargassum horneri; Sargassum fluitans/natans; Cyanobacteria; Microcystis; Nodularia spumigena; Trichodesmium; Floating matters; Sea snots; Brine shrimp cysts; Marine debris; Driftwood; ULVA-PROLIFERA; BLOOMS; JAPAN; SEA; SAR; CYANOBACTERIA; AVHRR; BAY;
D O I
10.1016/j.rse.2022.113188
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Various types of floating macroalgae and other floating matters have been reported in the global oceans and inland waters, and their remote detection has relied primarily on passive optical sensors. These sensors provide multiple spectral bands and frequent revisits, yet they all suffer from clouds. Synthetic aperture radar (SAR) imagers are active sensors that overcome this obstacle, yet their capacity in detecting macroalgae and other floating matters is generally unknown. Here, through statistical analysis and comparison of the Sentinel-2/MultiSpectral Instrument (MSI) and Sentinel-1/SAR imagery, we attempt to fill this knowledge gap. The types of floating matters considered in this study include macroalgae (Ulva Prolifera in the Yellow Sea, Sargassum horneri in the East China Sea, and Sargassum fluitans/natans in the Caribbean Sea), cyanobacteria (Microcystis, Nodularia spumigena, and Trichodesmium), dinoflagellates (green and red Noctiluca), organic matters (sea snots and brine shrimp cysts), and marine debris (driftwood). Of these, the only floating matter that can be definitively detected in Sentinel-1/SAR imagery is U. prolifera, followed by the occasional detection of S. fluitans/natans and driftwood. In all detection cases, the macroalgae features always appear in Sentinel-1/SAR imagery with positive contrast from the surrounding waters. Because of the all-weather measurements, SAR observations can therefore complement those from the optical sensors in monitoring and tracking U. prolifera and S. fluitans/natans in their respective regions.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] OPERATIONAL AGRICULTURAL FLOOD MONITORING WITH SENTINEL-1 SYNTHETIC APERTURE RADAR
    Boryan, Claire G.
    Yang, Zhengwei
    Sandborn, Avery
    Willis, Patrick
    Haack, Barry
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 5831 - 5834
  • [2] Characteristics of suspended sediment in Sentinel-1 synthetic aperture radar observations
    Shao, Weizeng
    Zhao, Chi
    Jiang, Xingwei
    Sun, Zhanfeng
    Wang, Xiaoqing
    Wang, Jian
    Cai, Lina
    REMOTE SENSING LETTERS, 2021, 12 (11) : 1167 - 1179
  • [3] SENTINEL-1 SYNTHETIC APERTURE RADAR TIME SERIES FOR IRRIGATION MAPPING
    Amin, Ghaith
    Sfaksi, Nafissa
    Thierion, Vincent
    Gilleron, Jerome
    Ferrero, Thomas
    Demarez, Valerie
    IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024, 2024, : 4250 - 4254
  • [4] Classification of sea ice types in Sentinel-1 synthetic aperture radar images
    Park, Jeong-Won
    Korosov, Anton Andreevich
    Babiker, Mohamed
    Won, Joong-Sun
    Hansen, Morten Wergeland
    Kim, Hyun-Cheol
    CRYOSPHERE, 2020, 14 (08): : 2629 - 2645
  • [5] Persistent Scatterers Detection on Synthetic Aperture Radar Images Acquired by Sentinel-1 Satellite
    Danisor, Cosmin
    Popescu, Anca
    Datcu, Mihai
    ADVANCED TOPICS IN OPTOELECTRONICS, MICROELECTRONICS, AND NANOTECHNOLOGIES VIII, 2016, 10010
  • [6] Wave retrieval for Sentinel-1 synthetic aperture radar under complex sea state
    Hu, Yuyi
    Hao, Mengyu
    Shao, Weizeng
    Shen, Wei
    Jiang, Xingwei
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 45 (11) : 3807 - 3826
  • [7] Significance of dual polarimetric synthetic aperture radar in biomass retrieval: An attempt on Sentinel-1
    Periasamy, Shoba
    REMOTE SENSING OF ENVIRONMENT, 2018, 217 : 537 - 549
  • [8] Orthorectification of Sentinel-1 SAR (Synthetic Aperture Radar) Data in Some Parts Of South-eastern Sulawesi Using Sentinel-1 Toolbox
    Bayanudin, Athar Abdurahman
    Jatmiko, Retnadi Heru
    2ND INTERNATIONAL CONFERENCE OF INDONESIAN SOCIETY FOR REMOTE SENSING (ICOIRS), 2017, 47
  • [9] Retrieval of Rain Rates for Tropical Cyclones From Sentinel-1 Synthetic Aperture Radar Images
    Zhao, Xianbin
    Shao, Weizeng
    Lai, Zhengzhong
    Jiang, Xingwei
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 3187 - 3197
  • [10] Comparison of Synthetic Aperture Radar Sentinel-1 and ALOS-2 observations for lake monitoring
    Pham-Duc, Binh
    VIETNAM JOURNAL OF EARTH SCIENCES, 2024, 46 (03): : 322 - 338