Cultural heritage (CH) sites are threatened from a variety of natural and anthropogenic factors. Innovative andcost effective tools for systematic monitoring of landscapes and CH sites are needed to protect them. Towardsthis directi on, the article presen ts a multidisciplinary approach, based on remote sen sing techniques andGeog raphical Infor mation System (GIS) analysis, in order to assess th e overall risk in the Pa phos distr ict(Cyprus). Paphos region has a great deal of archaeological sites and isolated monuments, which reflect thelong history of the area, while some of them are also listed in the UNESCO catalogue of World Cultural Heritagesites. Several natural and anthropogenic hazards have been mapped using different remote sensing data andmethodologies. All data were gathered from satellite images and satellite products. The results from each hazardwere imported into a GIS environment in order to examine the overall risk assessment based on the AnalyticHierarchy Process (AHP) methodology. The results found that the methodology applied was effective enough intheunderstandingofthecurrentconservationcircumstances of the monuments in relation to their environmentas well as predicting the future development of the present hazards

Several studies in the past have examined the spectral capability of multispectral and hyperspectral imagery for the identification of crop marks, while recent studies have applied different vegetation indices in order to support remote sensing archaeological applications. However, the use of vegetation indices for the detection of crop marks lacks in accuracy assessment and critical evaluation. In this study, 71 vegetation indices were indexed, from the relevant bibliography, and evaluated for their potential to detect such crop marks. During this study, several ground spectroradiometric campaigns took place, in a controlled archaeological environment in Cyprus, cultivated with barley crops, during a complete phenological cycle (2011)(2012). All vegetation indices, both broadband and narrowband, were evaluated for their separability performance, and the results were presented through tables and diagrams. In the end, the use of more than one vegetation index is suggested in order to enhance the final results. In fact, several not widely used vegetation indices are suggested and evaluated using both Landsat TM and EO-1 Hyperion images.

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