This paper presents a GIS-based geomorphological map of Milos island. In orderto create this kind of maps, one must employ a wide variety of digital processingtechniques, in order to obtain high accuracy and analysis speed. Both aerial photosand satellite images had to be geometrically and radiometrically corrected, in order to eliminate distortions. Using digital image processing techniques, different information layers were developed and imported to the MapInfo GIS. GIS software was used for the comparative spatial and quantitative analysis of all the information layers. The GIS handled all geomorphological data as separate objects. Thus, everyobject’s attributes and every distance between objects, is easily measurable. Moreover, data modifications and updates are also very quick and easy. Milos is a volcanic Aegean-sea island. Over the last decades, significant geomorphological changes have taken place, because of rapid increment of tourism. The rapid, and of a large scale, geomorphological changes that have already taken place and will continue in the future, were the reason why Milos island was selected among others to be studied from a geomorphological point of view. This paper’s aim is to record geomorphological features of Milos island in order to be compared with data that will be gathered in some years at the second stage of this study, in order to present geomorphological changes due to human activity impacts.

This study is dealing with two different transformation rules for creating erosionrisk thematic maps. The first rule, based on Boolean logic, is a well known theoryused for composing maps and demanding crisp sets as input data. The second one is the fuzzy logic theory, appropriate for handling fuzzy sets. In this context we present a case study from the Greek territory of Korinth. It concerns the hydrological basin where recently a catastrophic flood event has occurred. As input data we have used field measurements, aerial photos, satellite images, topographic and geological maps. These data sets were georeferrenced, digitised and introduced to a G.I.S. – web platform. The G.I.S. – web technology permits easy data and map updates. Oursoftware tools were the MapInfo G.I.S., the MapXtreme web interface and theMatLab. The aim of this paper is to emphasise on the utility of erosion risk maps forenvironmental protection and agricultural uses.

This study is an attempt of creating a virtual model of Patra’s cadastre grid. For this purpose geomorphological and environmental data in combination to archaeological data were analysed using different information technologies. Different kinds of techniques were used in order to reach the target. Remote Sensing and Digital image processing was used in the first place to initiate the primary data. Geographical Information Systems (G.I.S.) were used for the processing of primary data and the production of secondary information layers.Geomorphological and environmental data were particularly helpful for theelimination of those lines that couldn’t be part of a Roman cadastre grid.

In this article, we will present the ‘Cadastre Grid Software’ (version 3) and its new enchanced functions and capabilities. This new version has already been used on a variety of applications, including archaeology (investigations on cadastre detection), geology (analysis on tectonic fault directions) and geomorphology (drainage system analysis). Moreover, we will describe the use of ‘Cadastre Grid Software’ in combination with MapInfo GIS, in order to extract primary data from maps (topographic, pedological, etc.), aerial photos and satellite images. Cadastre lines and grids extracted using the ‘Cadastre Grid Software’, are then processed with MapInfo GIS, enabling comparisons among different models or study areas, e.g. Bezier’s and Patra’s cadastres.

Samos island has recently (July 2000) experienced severe fire events that changedmost of its landcover map. Apart from this catastrophy, Samos island also encounters intense rainfalls, soil erosion and flood events. Unfortunatelly, erosion proccess are highly accelerated when natural protective mechanisms, like landcover, are absent. At Samos case, we produced an erosion risk map, using as principal attributes lithology, drainage system analysis, topography and recent landcover data. All these data, were input into the GIS and processed through fuzzy logic rules, in order to derive an erosion risk map. Such maps can be proved very useful tools, when classifying zones of high erosion risk and when taking appropriate measures in advance. Erosion risk maps can be used from both local authority and research teams that need, among others, to evaluate erosion factor or plan effective policies.

Selecting a suitable area for a sanitary landfill is a very complicated task involvinga series of parameters. For the needs of this paper, we categorized all the parameters into five major groups: a) Geological – Geomorphological – Hydrological - Hydrogeological, b) Land planning, c) Environmental d) Operational and e) Financial. Each group may contain many sub-groups and so on. In this study we attempt to indicate the most suitable areas for the establishment ofa sanitary landfill at Naxos island, using Geographical Information Systems. Themethod of ‘multiple selection criteria’, helps to objectively specify suitable areas,based on given weight factors for each parameter.Geographical Information Systems enabled the processing of all necessaryparameters and weight factors in order to develop different theoretical models forNaxos island. All resulting areas, were automatically marked by the GIS, and the bestpossible solution was isolated. Moreover, we developed different thematic maps,graphically representing the elimination criteria and the resulting positions.