Spatial Patterns of Turbidity in Cartagena Bay, Colombia, Using Sentinel-2 Imagery

被引:3
|
作者
Eljaiek-Urzola, Monica [1 ]
de Carvalho, Lino Augusto Sander [2 ]
Betancur-Turizo, Stella Patricia [3 ]
Quinones-Bolanos, Edgar [1 ]
Castrillon-Ortiz, Carlos [4 ]
机构
[1] Univ Cartagena, Fac Engn, Cartagena 130015, Colombia
[2] Fed Univ Rio de Janeiro UFRJ, Dept Meteorol, BR-21941916 Rio De Janeiro, Brazil
[3] Ctr Invest Oceanog & Hidrog Caribe, Cartagena 130001, Colombia
[4] Univ Cartagena, Fac Engn, Civil Engn Program, Cartagena 130015, Colombia
关键词
algorithm; turbidity; sentinel; Monte Carlo simulation; TOTAL SUSPENDED MATTER; REMOTE-SENSING REFLECTANCE; COASTAL WATERS; COMPLEX WATERS; VARIABILITY; RIVER; CLASSIFICATION; ALGORITHM; CHANNEL; GULF;
D O I
10.3390/rs16010179
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Cartagena Bay in Colombia has vital economic and environmental importance, playing a fundamental role in both the port and tourism sectors. Unfortunately, the water quality of the bay is undergoing a deterioration process due to the significant influx of sediment from the artificial channel known as Canal del Dique. Although field campaigns are carried out semiannually with 12 monitoring stations to evaluate these impacts, understanding the spatial dynamics of suspended solids in the bay remains a challenge. This article presents a spatial analysis of water turbidity in the Cartagena Bay during the years 2018 to 2022, using Sentinel-2 images. To achieve this objective, an empirical algorithm was developed through the Monte Carlo simulation. The validation of the algorithm demonstrated an R-squared value of 0.83, with an RMSE of 2.72 and a MAPE of 24.93%. The results showed the seasonal variability, with higher turbidity levels during the rainy season, reaching up to 35 FNU, and lower turbidities during the dry season, dropping to 1 FNU. Furthermore, these findings indicated that the southern area of the bay presents the most significant turbidity variations. This research enhances our understanding of the bay's turbidity dynamics and suggests an additional tool for its monitoring.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] A robust and adaptive spatial-spectral fusion model for PlanetScope and Sentinel-2 imagery
    Zhao, Yongquan
    Liu, Desheng
    GISCIENCE & REMOTE SENSING, 2022, 59 (01) : 520 - 546
  • [32] Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery
    Li, Jun
    Zhang, Yuejie
    Sheng, Qinghong
    Wu, Zhaocong
    Wang, Bo
    Hu, Zhongwen
    Shen, Guanting
    Schmitt, Michael
    Molinier, Matthieu
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15 : 8759 - 8775
  • [33] A Spectral-Spatial Approach for the Classification of Tree Cover Density in Mediterranean Biomes Using Sentinel-2 Imagery
    Sismanis, Michail
    Gitas, Ioannis Z.
    Georgopoulos, Nikos
    Stavrakoudis, Dimitris
    Gkounti, Eleni
    Antoniadis, Konstantinos
    FORESTS, 2024, 15 (11):
  • [34] Using Sentinel-2 Imagery for Detecting Oil Spills via Spatial Roughness of Mixed Normalized Difference Index
    Raphiphan, Yaowamal
    Khetkeeree, Suphongsa
    Proceedings of SPIE - The International Society for Optical Engineering, 2022, 12342
  • [35] Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery
    Li, Jun
    Zhang, Yuejie
    Sheng, Qinghong
    Wu, Zhaocong
    Wang, Bo
    Hu, Zhongwen
    Shen, Guanting
    Schmitt, Michael
    Molinier, Matthieu
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 8759 - 8775
  • [36] Spatio-Temporal Patterns of Smallholder Irrigated Agriculture in the Horn of Africa Using GEOBIA and Sentinel-2 Imagery
    Vogels, Marjolein F. A.
    de Jong, Steven M.
    Sterk, Geert
    Douma, Harke
    Addink, Elisabeth A.
    REMOTE SENSING, 2019, 11 (02)
  • [37] Cloud and Cloud-Shadow Detection for Applications in Mapping Small-Scale Mining in Colombia Using Sentinel-2 Imagery
    Ibrahim, Elsy
    Jiang, Jingyi
    Lema, Luisa
    Barnabe, Pierre
    Giuliani, Gregory
    Lacroix, Pierre
    Pirard, Eric
    REMOTE SENSING, 2021, 13 (04) : 1 - 22
  • [38] MAPPING AND ASSESSMENT OF THE SPATIAL AND TEMPORAL DISTRIBUTION OF TURBIDITY IN LAKE BUHI FROM SENTINEL-2 IMAGES USING GEOGRAPHICALLY WEIGHTED REGRESSION AND NORMALIZED DIFFERENCE TURBIDITY INDEX
    Amaro, K. A. N.
    Cortez, L. M. G.
    Medina, J. M.
    Blanco, A. C.
    8TH INTERNATIONAL CONFERENCE ON GEOINFORMATION ADVANCES, GEOADVANCES 2024, VOL. 48-4, 2024, : 29 - 36
  • [39] Monitoring Saltmarsh Restoration in the Upper Bay of Fundy Using Multi-Temporal Sentinel-2 Imagery and Random Forests Classifier
    Naojee, Swarna M.
    Larocque, Armand
    Leblon, Brigitte
    Norris, Gregory S.
    Barbeau, Myriam A.
    Rowland, Matthew
    REMOTE SENSING, 2024, 16 (24)
  • [40] Soil Texture Mapping in Songnen Plain of China Using Sentinel-2 Imagery
    Zheng, Miao
    Wang, Xiang
    Li, Sijia
    Zhu, Bingxue
    Hou, Junbin
    Song, Kaishan
    REMOTE SENSING, 2023, 15 (22)