<p>The ability to measure sea surface temperature allows us to observe the global system and quantify ongoing weather and climate change. Several industries are particularly affected by increased SST the shipping industry, the offshore oil and gas industry, the fishing industry, etc. Knowledge of ocean wind behaviour will enable ship masters to choose routes that avoid heavy seas or high headwinds that may slow the ship's travel, increase fuel consumption, or possibly cause damage to vessels and loss of life. This paper aims to realise the Cyprus region's sea surface temperature and wind speed data. The comparison of results obtained using Sentinel Application Platform (SNAP) and ArcGIS Pro, shows that both tools can be used to realise Sea Surface Temperature and Ocean Wind Speed Data and give satisfactory results.</p> <p><strong>Keywords: </strong>Sea surface temperature, Ocean Wind Speed Data, Sentinel-3, SNAP, ArcGIS Pro.</p>

Maritime surveillance is critical for threat prevention, national security, and safety maintenance. Maritime traffic involves the worldwide navigation of millions of vessels. Satellite missions like Sentinel-1 made it possible to collect systematic data for vessel tracking. Using the Copernicus Open Access Hub service, it is now feasible to access satellite data in fully automated and near real-time mode and deliver vessel information through a web portal interface. This paper aims to detect vessels in exclusive economic zone (EEZ) of the Republic of Cyprus, Southwest of Cyprus using freely available Sentinel-1 SAR imagery data. Comparison of results obtained using Sentinel Application Platform (SNAP) and Arc GIS Pro -Deep Learning. The preliminary results show that both tools can be used to ship detection and give satisfactory results.

Seagrasses are one of the most valuable ecosystems in the sea. Seagrasses provide shelter and protection to newborn fish, and food, it is an indicator of the health of coastal ecosystems and plays a key role in the protection of erosion. Seagrasses provide many ecosystem services. In order to act helpfully for the health of this kind of valuable ecosystem, it is very important to map the seagrass beds. Seagrass mapping allows us to detect, monitor, and finally protect them from different sources of pressure. Seagrasses are very sensitive to changes, and this can affect the health of this type of ecosystem. For the first step, we have to detect what exists in Cyprus's area of interest. There are many ways we can implement the detection and mapping of seagrass. We will provide an estimation with pixel-based image analysis. The purpose of the paper proceedings is to detect seagrass with pixel-based image analysis, in Cyprus's area of interest, and especially the broader area of Paphos district.

Cyprus can be found in a critical location, a geostrategic location among Asia, North Africa, and Europe. This is particularly important, thus, can affect the marine environment with the vessels that pass through the sea. A severe form of pollution can be an oil spill. An oil spill is a liquid, usually petroleum hydrocarbon, released to the sea and can affect the marine ecosystem and humans. Oil spills can be recorded as marine incidents or accidents. In August 2022, one of the essential accidental oil spills came from the northeast coast of Syria. In the present study, we will try to implement a spatial analysis of oil spill detection by combing remote sensing techniques and monitoring, using the Sentinel Application Platform (SNAP) and the consequences that follow this procedure. The implementation was made using two different polarization; vertical polarization (VV) and horizontal comparison (VH). The preliminary results show that the Sentinel-1 SAR data would give effective results and spatial information on oil spill detection to decision-makers.