Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 446 - 446

Published: Jan. 23, 2024

Since 1971, remote sensing techniques have been used to map and monitor phenomena parameters of the coastal zone. However, updated reviews only considered one phenomenon, parameter, data source, platform, or geographic region. No review has offered an overview that can be accurately mapped monitored with data. This systematic was performed achieve this purpose. A total 15,141 papers published from January 2021 June 2023 were identified. The 1475 most cited screened, 502 eligible included. Web Science Scopus databases searched using all possible combinations between two groups keywords: geographical names in areas platforms. demonstrated that, date, many (103) (39) (e.g., coastline land use cover changes, climate change, urban sprawl). Moreover, authors validated 91% retrieved parameters, 39 1158 times (88% combined together other parameters), 75% over time, 69% several compared results each available products. They obtained 48% different methods, their 17% GIS model techniques. In conclusion, addressed requirements needed more effectively analyze employing integrated approaches: they data, merged

Language: Английский

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Continuous Sargassum monitoring across the Caribbean Sea and Central Atlantic using multi-sensor satellite observations

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 309, P. 114223 - 114223

Published: May 27, 2024

Recurrent transnational Sargassum blooms across the Caribbean Sea and Atlantic Ocean have received growing attention. Different multispectral sensors, including Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imager Radiometer Suite (VIIRS), Land Color Instrument (OLCI), been used to map their distributions. However, synergistic use of multi-sensor observations for high temporal resolution monitoring is lacking. Here, by combining MODIS (on Aqua Terra), VIIRS JPSS1 SNPP), OLCI Sentinel-3A -3B) observations, 3-day mean distributions were mapped Central Atlantic. The biomass densities derived using sensor-specific Alternative Floating Algae Index (AFAI)-biomass model, consistency between six sensors was examined as reference sensor. Comparison from different shows that they strong linear correlations (R2 ≥ 0.95), demonstrating continuity six-sensor observations. On average, combined datasets provide ∼1.6 times more valid compared MODIS-only dataset in 2021, enabling generation 0.5° products over ∼90% study region. Such detected ∼10-20% bloom peak month (June 2021) monthly counterpart. Increasing spatial 0.1°, can continuously monitor dynamics with eddies tropical cyclones, which cannot be well captured single sensors. This highlights multiple polar-orbiting satellite achieve gap-free floating macroalgae Atlantic, thus facilitating analyses response environmental conditions prediction future events.

Language: Английский

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Improving satellite monitoring of coastal inundations of pelagic Sargassum algae with wind and citizen science data

Aquatic Botany, Journal Year: 2023, Volume and Issue: 188, P. 103672 - 103672

Published: June 5, 2023

Massive blooms of pelagic Sargassum algae have caused serious problems to coastal communities and ecosystems throughout the tropical Atlantic, Caribbean Sea, Gulf Mexico since 2011. Efforts monitor predict these occurrences are challenging owing vast area impacted complexities associated with proliferation movement Sargassum. Inundation Reports (SIRs) were first produced in 2019 estimate potential risk coastlines Intra-American Sea at weekly intervals 10 km resolution. SIRs use satellite-based data products beaching based on amount offshore (quantified by a Floating Algal density index). Here we examine whether including wind metrics improves correspondence between index observations along coastline. For observations, quantified percent coverage photos obtained from citizen science project "Sargassum Watch" that collects time-stamped, georeferenced beaches region. Region-wide analyses indicate shoreward velocity SIR indices greatly compared alone. Site-specific southeast Florida, USA, continuous video monitoring study Puerto Morelos, Mexico, suggest uncertainties suite factors controlling beaching. Nonetheless, inclusion algorithm appears be promising avenue for improving regional indices.

Language: Английский

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Detecting Cyanobacterial Blooms in the Caloosahatchee River and Estuary Using PlanetScope Imagery and Deep Learning

IEEE Transactions on Geoscience and Remote Sensing, Journal Year: 2024, Volume and Issue: 62, P. 1 - 13

Published: Jan. 1, 2024

Freshwater cyanobacterial blooms pose a major threat to local ecosystems, economies, and public health. Monitoring these occurrences is essential for water resource managers worldwide. Satellite remote sensing techniques can detect quantify in large inland estuarine bodies but monitoring small (<10 km2), including narrow river/canal systems, remains challenging. This due the coarse spatial resolution (>300 m) or low re-visit frequency (>10 days) of most operational satellite sensors. The ephemeral nature form dense surface mats (or 'scums') that aggregate nearshore further highlight need sensors with higher temporal resolutions. In this study, deep learning model based on Convolutional Neural Network U-net was developed (i.e., scums) highly modified managed Caloosahatchee River C-43 canal) Estuary (CRE) (Florida, USA) using Dove imagery (3-m resolution) obtained near-daily from PlanetScope constellation. approach consisted three steps: 1) training validating "ground truth" images; 2) classifying bloom pixels; 3) quantifying area linear unmixing. Validation results indicate an overall F1 score 89.6% when assessing area. Application revealed westward expansion cyanobacteria CRE summer 2018, indicating physical transport originating upstream Lake Okeechobee estuary. tested other bodies, potential global scale.

Language: Английский

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Perceived Sargassum event incidence, impacts, and management response in the Caribbean Basin

Marine Policy, Journal Year: 2024, Volume and Issue: 165, P. 106214 - 106214

Published: May 24, 2024

Sargassum events have been an increasingly influential phenomenon in the Caribbean region recent years, with correspondingly growing attention from news and social media, scientific community, policy makers. To better understand human effects of events, online survey 633 community members, resource users, government NGO staff across Basin was conducted summer fall 2021. Results indicated that widely regarded as a problem all parts region, perceived event frequency, severity, impacts varied by subregion. Impacts included economic harm losses tourism, recreation, fisheries, well negative outcomes public health, quality life, cultural practice. Management efforts are widespread, but there is marked lack confidence to respond Sargassum. These findings provide regional baseline for Sargassum, highlight vulnerable sectors, identify sociocultural factors managers should consider process decision making regard this other harmful macroalgal blooms.

Language: Английский

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Enhancing Ulva prolifera Detection in the South Yellow Sea Using Sentinel-1 SAR Imagery and Advanced Deep Learning Frameworks

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 942 - 942

Published: March 6, 2025

Recurrent blooms of Ulva prolifera (U. prolifera) in the South Yellow Sea (SYS) have become a significant ecological and socio-economic challenge, disrupting marine ecosystems, aquaculture, coastal tourism. Traditional methods for detecting managing these face notable limitations, especially complex environments under adverse observation conditions. To address issues, this study employs Sentinel-1 synthetic aperture radar (SAR) imagery deep learning (DL) techniques. A comprehensive dataset, SYSUPD-SAR, was constructed, containing over 440,000 annotated U. patches alongside lookalike samples. Pre-training conducted using Contrastive Mask Image Distillation (CMID) framework, while Swin Transformer model enhanced with multi-head self-attention mechanisms supervision strategies to improve segmentation accuracy robustness. Key results indicate that refined achieved an Intersection Union (IoU) 93.24% Dice loss 18.13%, demonstrating its effectiveness reducing false positives enhancing detection precision. Additionally, integration texture features consideration incidence angle variations further strengthened model’s performance. This provides robust framework detection, offering valuable insights tools mitigating environmental economic impacts green tides.

Language: Английский

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Training sensor-agnostic deep learning models for remote sensing: Achieving state-of-the-art cloud and cloud shadow identification with OmniCloudMask

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 322, P. 114694 - 114694

Published: March 9, 2025

Language: Английский

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Decreased and Fragmented Greenspaces in and around Rural Residential Areas of Eastern China in the Process of Urbanization

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101518 - 101518

Published: March 1, 2025

Language: Английский

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Monitoring pelagic Sargassum in the Atlantic Ocean from space: Principles and practices

Harmful Algae, Journal Year: 2025, Volume and Issue: unknown, P. 102840 - 102840

Published: March 1, 2025

Language: Английский

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Sargassum Enrichment in Mesoscale Eddies of the Great Atlantic Sargassum Belt

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(7)

Published: March 28, 2025

Abstract Pelagic Sargassum has increased dramatically in the past decade, primarily annually recurrent Great Atlantic Belt (GASB) that extends from coast of West Africa to Gulf Mexico. Using satellite observations density and mesoscale eddies 2011 2023, we investigate whether more can be found eddies. Cyclonic were contain 6%–47% (relative eddy‐free waters) across all selected regions within GASB, with highest their inner cores (<0.5 eddy radius). Impacts anticyclonic weaker varied between regions. In addition, enrichment tended higher greater size or amplitude, such as North Brazil Current rings those Caribbean Sea. These findings may inform mitigation strategies, for example, through physical removal targeted locations.

Language: Английский

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