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Această pagină web listează resurse legate de crearea și prezentarea referatelor, în special a celor cerute studenților la diferite discipline din facultate.

Prima abordare a acestui subiect a fost realizată în cadrul proiectului ROSE GeoDA (14 decembrie 2017, sala B664), pentru studenții anului 1, din cadrul Departamentului de Geografie, a Facultății de Geografie și Geologie, Universitatea Alexandru Ioan Cuza din Iași (”Devino absolvent al Facultății de Geografie și Geologie din Iași! - GeoDA” - AG 31/SGU/NC/I. director Lect. dr. Alex Bănică).

Archaeological topography identification from high-resolution DEMs (Digital Elevation Models) is a current method that is used with high success in archaeological prospecting of wide areas. I present a methodology through which burial mounds (tumuli) from LiDAR (Light Detection And Ranging) DEMS can be identified. This methodology uses geomorphometric and statistical methods to identify with high accuracy burial mound candidates. Peaks, defined as local elevation maxima are found as a first step.

Hilly regions around the world are one of the most vulnerable places for inhabitation, where landslides represent a permanent threat for their population. In some particular cases, in the past, due to their topographic features, areas affected by massive landslides served a real opportunity for the location of strategic and fortified settlements.

Natural hazards are the most significant threats in rural areas of Romania, while landslides, floods and bank river erosion are the geomorphological processes that impose the greatest risk in the Moldavian Plateau. We have identified 189 of disappeared, displaced and partially affected villages (in the area between Siret and Prut Rivers), using old cartographic materials as primary tool, and overlapping them with the present situation: ortophoto imagery and LiDAR derived high-resolution Digital Elevation Models (DEMs).

Today, as in the past, people living in hilly and mountainous regions have had to face the consequences of mass movement processes. Archaeological remains are important elements of cultural heritage, which can be significantly affected by landslides in different environmental settings and landscape evolution phases. In the Eastern Carpathians lowlands, landslides have shaped a landscape with inaccessible escarpments tens of metres high, providing ancient populations with naturally defensive sites at which to build their fortified settlements.

The creation and analysis of landslide inventories is the basic approach for starting the landslide hazard to risk analysis chain analysis. In order to perform this kind of analysis for the Iași Municipality (North–eastern Romania) we created based on aerial imagery and LiDAR data a landslide inventory of the landslide events that happened in the last 100 years. In total, we identified and delineated 518 landslide events: 51.5% translational slides, 19.7% slumps (rotational slides), 17% flowslides and 11.8% flows.

Iași Municipality as other urban areas around the world has a long history of landslide activity which needs to be studied considering the urban sprawl. We performed a first landslide susceptibility modeling for Iași Municipality based on the AHP method using weights given by expert judgements regarding the influence of preparatory and conditional landslides factors (slope, ruggedness, lithology, historic landslide density and hydrogeology) and weights given by the historic landslide density over the factors.

Ground deformations are the result of interactions between terrain and various processes. Their identification and monitoring becomes an important step as they can provide insights about Earth’s dynamics or process triggering conditions. This paper aims to show the potential use of Sentinel-1 SAR images to identify ground deformations induced by neotectonics. Hence, we applied PS-InSAR stacking technique on Sentinel-1 ascending dataset in the area of Focșani basin, Eastern Romania. High density of PS obtained in populated areas allows the detection of tectonic fractures.

SRTM1 Digital Elevation Model for many mountain ranges in Romania were processed to provide slope gradient distributions for each 50 m band of altitude. The effects of cirques are seen in an increase in standard deviation of gradient, and a spread in all percentiles, especially an increase in the 95th, at relevant altitudes. Otherwise, variations in median gradient with altitude differ between ranges, and do not show the general increase found in the Alps below cirque floor altitudes by several authors.

SRTM data is still one of the most used data in geosciences for various purposes: geomorphometric analysis, environmental covariate modelling or geomorphic change detection. Although high resolution national/regional DEMs exist, very often accessing them is expensive, or their coverage is not complete over specific areas (only floodplains or cities are covered). Because of this SRTM still remains the best choice when elevation data is needed for regional/national or global areas.

Flusskanäle sind Landschaftsformen, die von fließenden Gewässern geschaffen werden.

Im digitalen Format können die Flusskanäle als Kanäle oder als Polygone dargestellt werden.

Für ihre geomorphometrische Analyse ist es notwendig, die mittlere Linie des Flussbettes zu erstellen. Um die mittlere Linie des Flussbettes aus der Polygon-Topologie zu erzeugen, muss sie in eine Linie und dann in Punkte umgewandelt werden, wobei sich diese in einer bestimmten Entfernung füllen.

Unter Verwendung von Thiessen-Polygonen werden Thiessen-Polygone verwendet.