LABORATORY OF PHYSICAL GEOGRAPHY & ENVIRONMENTAL IMPACT ASSESSMENT
School of Rural, Surveying & Geoinformatics Engineering (SRSGE)

Completed Projects

Members of GEO ENVI Lab participate in research programs. Indicative projects are listed:

International

The LIFE ADAPT2CLIMA project aims at increasing the knowledge on the vulnerability of EU Mediterranean agriculture to climate change and at developing and to support decision making for adaptation planning. To this aim a set of climate, hydrological and crop simulation models for the assessment of climate change impacts on agriculture will be deployed. Moreover, a decision support tool for the elaboration of adaptation strategies for the agricultural sector will be also developed. Three amongst the largest  islands in the Mediterranean basin (Crete – Greece, Sicily – Italy and Cyprus) will be the pilot areas of the project. The National Observatory of Athens is the coordinator of the project while the project partners are the Agricultural Research Institute of Cyprus (ARI), the Institute of Biometeorology of the National Research Council of Italy (IBIMET-CNR), the National Technical University of Athens (NTUA), the Department of Agriculture, Rural Development and Mediterranean Fisheries of the Region of Sicily (Italy) and the Region of Crete (Greece).

The project is co-financed by the LIFE programme for the Environment and Climate Action (2014-2020).

SIM4NEXUS increases the understanding of how water management, food production and consumption, energy supply and land use policies are linked together, and how they relate to climate action. The research activities offered solid ground on the benefits of using a Nexus approach, primarily to exploit and create synergies between policies and avoid conflicts between policies. European policies for water-land-energy-food-climate sectors reckon with trade-offs in other sectors. However, opportunities for synergies are less explored and there is no institutionalised procedure for a comprehensive Nexus assessment of new policies. New integrating themes (e.g., circular and low-carbon economy related to resource efficiency and planetary boundaries) can stimulate a Nexus approach.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 689150 SIM4NEXUS

The project aims to:

  • assist water managers and policy makers to identify long-term trends of water demand for the Maltese islands, and
  • support long-term planning of water resources system whilst considering future trends in demographic, socio-economic, environmental, and technological factors, as well as land use and climate change fluctuations. 

This call for tenders is co-financed by the European Union under the LIFE Programme.

National

The purpose of this project is the environmental assessment of alternative interventions that aim to protect the area under study from erosion problems as well as the assessment of the effects of the proposed intervention and the proposal of remedial measures. The project is structured in two stages:

–      evaluation of the most important parameters that compose the current state of the natural and man-made environment in the immediate and wider study area.

–      evaluation and analysis of all alternative interventions proposed in order to protect the study area from the problem of erosion observed along the coastline and prioritization of proposed alternative interventions including zero solution based on technical, economic and social criteria.

The aim of the project is the development of automated processing techniques for digital geographical and statistical data of the Hellenic Statistical Authority. Primarily, the formulation and enrichment of the data/metadata to import them into geospatial database in order to correlated them with environmental data in urban/suburban/rural areas at municipality level with the ultimate goal the protection of local population from natural disasters (eg floods, fire events, etc.). The required processing techniques will be combined with remote sensing techniques in order to automatically determine the boundaries of areas of interest and to complete the database with the appropriate vector files.