Assessment of PRISMA Level-2 Hyperspectral Imagery for Large Scale Satellite-Derived Bathymetry Retrieval

被引:12
|
作者
Alevizos, Evangelos [1 ]
Le Bas, Tim [2 ]
Alexakis, Dimitrios D. [1 ]
机构
[1] Inst Mediterranean Studies IMS, Lab Geophys Satellite Remote Sensing & Archaeoenv, GeoSat ReS Lab, Nikiforou Foka 130 & Melissinou,POB 119, Iraklion 74100, Greece
[2] Natl Oceanog Ctr, Ocean BioGeosci, Southampton, Hants, England
关键词
Hyperspectral; PRISMA sensor; satellite-derived bathymetry; seafloor mapping; shallow water; radiative-transfer model; REMOTE-SENSING DATA; SHALLOW WATERS; ATMOSPHERIC CORRECTION; DEPTH; COASTAL; REFLECTANCE; REGRESSION; HABITAT; BENTHOS; DEEP;
D O I
10.1080/01490419.2022.2032497
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Currently, several satellite-derived bathymetry (SDB) workflows are based on a variety of satellite imagery which are analyzed by empirical or analytical methods. The latest availability of PRISMA hyperspectral data provides a new opportunity for testing their application in shallow water bathymetry mapping. Here we utilize two Level-2 PRISMA scenes from the Caribbean Sea capturing seafloor areas with diverse benthic features and we analyze them using the shallow water analytical models provided by the water-color simulator (WASI) software. The presented study examines the influence of spatial resolution and end-member spectra on the SDB output. Consequently, in one study area we apply inversion using additional reference spectra and in the other study area we exploit the PRISMA panchromatic band for producing a pan-sharpened, hyperspectral cube for bathymetry inversion. The results show good correlation with reference bathymetry data (sonar and admiralty chart) suggesting that PRISMA imagery has a clear potential in optical bathymetry studies. The use of appropriate end-member spectra assists in enhancing the accuracy of SDB, and pan-sharpened PRISMA imagery assists in improving the results when detailed bathymetry is required. PRISMA imagery can be effectively analyzed with open-source software WASI-2D and thus contribute new bathymetric data to regional-scale seafloor mapping projects.
引用
收藏
页码:251 / 273
页数:23
相关论文
共 50 条
  • [1] Hyperspectral Satellite-Derived Bathymetry Considering Substrate Characteristics
    Ye, Li
    Chu, Sensen
    Chen, Hui
    Cheng, Jian
    Xu, Ruihan
    Qu, Ziyang
    MARINE GEODESY, 2025,
  • [2] Understanding satellite-derived bathymetry using Sentinel 2 imagery and spatial prediction models
    Casal, Gema
    Harris, Paul
    Monteys, Xavier
    Hedley, John
    Cahalane, Conor
    McCarthy, Tim
    GISCIENCE & REMOTE SENSING, 2020, 57 (03) : 271 - 286
  • [3] Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets
    Ma, Yue
    Xu, Nan
    Liu, Zhen
    Yang, Bisheng
    Yang, Fanlin
    Wang, Xiao Hua
    Li, Song
    REMOTE SENSING OF ENVIRONMENT, 2020, 250
  • [4] Optimising Satellite-Derived Bathymetry Using Optical Imagery over the Adelaide Metropolitan Coast
    Downes, Joram
    Bruce, David
    da Silva, Graziela Miot
    Hesp, Patrick A.
    REMOTE SENSING, 2025, 17 (05)
  • [5] Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
    Chenier, Rene
    Ahola, Ryan
    Sagram, Mesha
    Faucher, Marc-Andre
    Shelat, Yask
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (01):
  • [6] Satellite-derived bathymetry using Sentinel-2 in mesotidal coasts
    Viana-Borja, S. P.
    Gonzalez-Villanueva, R.
    Alejo, I.
    Stumpf, R. P.
    Navarro, G.
    Caballero, I.
    COASTAL ENGINEERING, 2025, 195
  • [7] SATELLITE-DERIVED BATHYMETRY: ACCURACY ASSESSMENT ON DEPTHS DERIVATION ALGORITHM FOR SHALLOW WATER AREA
    Said, Najhan Md
    Malamud, Mohd Razali
    Hasan, Rozaimi Che
    ISPRS WG IV/1 INTERNATIONAL CONFERENCE ON GEOMATIC AND GEOSPATIAL TECHNOLOGY 2017: GEOSPATIAL AND DISASTER MANAGEMENT, 2017, 42-4 (W5): : 159 - 164
  • [8] Assessment of coastal geomorphological changes using multi-temporal Satellite-Derived Bathymetry
    Misra, Ankita
    Ramakrishnan, Balaji
    CONTINENTAL SHELF RESEARCH, 2020, 207
  • [9] An Improved Physics-Based Dual-Band Model for Satellite-Derived Bathymetry Using SuperDove Imagery
    He, Chunlong
    Jiang, Qigang
    Wang, Peng
    REMOTE SENSING, 2024, 16 (20)
  • [10] Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2
    Traganos, Dimosthenis
    Poursanidis, Dimitris
    Aggarwal, Bharat
    Chrysoulakis, Nektarios
    Reinartz, Peter
    REMOTE SENSING, 2018, 10 (06)