Neural Radiance Fields (NeRFs) is emerging as an innovative approach for generating in the reality-based 3D modelling techniques by employing an artificial neural network that optimizes a volumetric scene function based on a collection of input views [1], [2], [3]. This approach offers unprecedented prospects for multiscale 3D modelling and analysis.This study delves into the application of NeRF technology for processing aerial-born imagery [4] to evaluate its effectiveness for the creation of Digital Surface Models (DSM) compared with traditional photogrammetric techniques.

This paper explores how the Eratosthenes CoE that has been established in Cyprus through the EXCELSIOR H2020 Teaming project can be a hub for Earth Observation activities in Cyprus and the Eastern Mediterranean, Middle East and North Africa (EMMENA) region. Due to its geographical proximity, EXCELSIOR can become a hub for partners in Middle Eastern and Northern African countries. Cyprus' unique geostrategic position can support Earth Observation from satellite programmes in three continents and provide valuable services in the processes of satellite calibration and validation. Finally, the distinct needs and opportunities that motivate the establishment of an Earth Observation Centre of Excellence in Cyprus are presented in this paper.

This study examines the use of time-series aerial images in identifying archaeological and cultural heritage remains. Time-series aerial photos and satellite images can be used to identify temporal changes and retrieve geo-spatial information. For the site selected, time series aerial images from 1963, 1993 and 2014 were chosen to identify changes in order to uncover any information of the site. The site selected for this study was the Church of Panagia Karmiotissa, located in the Polemidia, Limassol District, Cyprus. The origin of the church is unknown, but evidence of ruins located in the north area of the church, indicate that there is an extension of the church and the presence of a small monastery or accommodations. Historical references [1], [2] indicate that it was likely a Carmelite monastery, that was abandoned in the 16thcentury and recently restored as a Greek Orthodox Church. The investigation of the aerial photos retrieved from the time-series analysis and ground penetrating radar led to an archaeological excavation that was done in October 2023 for further investigation.

This review delves into the pressing need and evolving perspectives on stakeholder engagement to achieve sustainable, resilient, and inclusive ecosystem services, particularly in the context of climate change mitigation and adaptation. Understanding and collaboration among key sectors are crucial to reach these objectives. The failure of many initiatives to meet their targets often results from the absence of a unified strategy for involving all stakeholders. Moreover, this review underscores the importance of co-governance and co-creation as integral aspects of effective stakeholder engagement, fostering a sense of ownership among stakeholders. By examining the current landscape and diverse strategies, this study emphasizes the significance of adopting the quintuple helix innovation framework as a holistic approach for sustainable and inclusive stakeholder engagement in advancing EU climate objectives. Finally, the study introduces the co-eco-approach as a potential step forward for achieving the targets of the European Green Deal and New Bauhaus initiatives.

This study focused on burned area mapping and burn severity estimation for the Arakapas fire event in Cyprus. For the purpose of the study Sentinel-2 images, before and after the fire event were used for the development of the dNBR and the RdNBR spectral indices, which are the most common spectral indices for assessing the burn severity and burned area estimation. For the validation of the fire severity map, field data were collected for the CBI and GeoCBI index calculation. The fire severity maps were compared with the field measurements of the CBI and GeoCBI. Based on Pearson Correlation the RdNBR map has a very high correlation with GeoCBI (PC=83%) and high correlation with CBI (PC=71%) in contrast with the dNBR spectral index which has a moderate correlation (PC=59% and PC=54%) with CBI and GeoCBI respectively. Based on these results the RdNBR spectral index is better for the burned severity mapping.

This paper aims to explore the integration of field spectroscopy and satellite remote sensing approaches to detect underground structures in Cyprus. A SVC-HR1024 field spectroradiometer was used and in-band reflectances were determined for medium resolution Landsat 7 ETM satellite sensor. In order to study possible differences of the spectral signature of vegetation, Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) and Enhanced Vegetation Index (EVI) have been used for the detection of underground military structures. The simulation results show that Vegetation Indices are highly useful and extremely valuable for detection underground infrastructures in Cyprus. In this study, two test areas were identified, analyzed and modelled: Area (a) which is a Vegetation Area covered with vegetation (barley), in the presence of an underground military structure, and Area (b) which is a Vegetation Area covered with vegetation (barley), in the absence of an underground military structure.