Remote Sensing Tools for Monitoring Marine Phanerogams:A Review of Sentinel and Landsat Applications

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(2), P. 292 - 292

Published: Feb. 4, 2025

Seagrasses play a pivotal role in maintaining marine ecosystems, supporting biodiversity, and preventing sediment loss during storms. Their capacity for photosynthesis growth is linked to light availability the continental shelf waters. Satellite platforms such as Landsat (USGS) Sentinel (ESA) provide accessible imagery monitoring of these submerged plants. This study employed PRISMA methodology conduct systematic review literature, with objective identifying articles focused on seagrasses their detection via satellite imagery. The identified methodologies included use vegetation water indices, which were validated through empirical observations, well supervised classification algorithms, Random Forest, Maximum Likelihood, Support Vector Machine. These approaches applied Mediterranean other coastal regions, revealing changes seagrass cover due anchor damage tourist areas trawling scars that resemble plough marks. Such tools are vital informing management actions, implementation restrictions anchoring bottom trawling, order protect vulnerable ecosystems. By enabling targeted interventions, this approach facilitates preservation meadows, also critical carbon sequestration sustainability habitats.

Language: Английский

A Comprehensive Survey of Privacy-Enhancing and Trust-Centric Cloud-Native Security Techniques Against Cyber Threats

Sensors, Journal Year: 2025, Volume and Issue: 25(8), P. 2350 - 2350

Published: April 8, 2025

Cloud-native architecture is becoming increasingly popular in today’s digital environment, driving the demand for robust security precautions to protect infrastructure and applications. This paper examines a variety of privacy-enhancing trust-centric tools techniques intended meet unique requirements within cloud-native environments. Specifically, solutions are covered, such as runtime protection platforms real-time threat detection responses, endpoint ensuring trust resilience dynamic contexts, service mesh technologies secure service-to-service communication. Furthermore, we examine roles encryption, identity access management, container image scanning protecting containerized applications preserving data privacy transit at rest. The importance response systems, information event management (SIEM) solutions, network also covered strengthen transparency security. We present thorough case study that demonstrates how measures applied across multiple layers, including application, network, infrastructure, security, compliance, ensure holistic architecture. By investigating these methods technologies, organizations may improve posture their implementations, reducing risks trustworthiness ever-changing ecosystem landscape.

Language: Английский

Comparing Cloud Mask Products for Seagrass Mapping Over Sentinel‐2 Imagery: Toward a First National Seagrass Map for Venezuela

Journal of Geophysical Research Machine Learning and Computation, Journal Year: 2025, Volume and Issue: 2(2)

Published: April 22, 2025

Abstract Despite providing many valuable ecosystem services, seagrasses are a threatened habitat and their global distribution is not fully known. For example, Venezuela lacks national seagrass map. An established regional mapping approach for exists the Google Earth Engine (GEE) platform, but requires long time window to obtain sufficient data overcome cloud other challenges. Recently, GEE has released Cloud Score+ quality band product purpose of masking. masking could potentially reduce needed representative multitemporal composite, which would allow temporal analyses. We compare performance derived products against previously image composites acquired in different ranges, ACOLITE‐processed single composite. The Sentinel‐2 (S2) Level‐1C (L1C) imagery whole Venezuelan coastline was processed following three approaches: (a) using composition full S2 L1C archive available Dark Object Subtraction; (b) integrating set into previous approach; (c) single‐image offline applying ACOLITE atmospheric correction. Additional raster features were generated two‐step classification performed with five classes, namely sand, seagrass, turbid water, deep coral, bootstrapped 20 times. Quantitatively, within largely similar. While had best quantitative results, produced maps qualitatively. With this, we first map Venezuela.

Language: Английский