Flow Direction and Length Determined by ArcGIS Spatial Analyst and Terrain Elevation Data Sets

Polina Lemenkova (1)

1 OUC - Ocean University of China

Current work presents results of the terrain data processing for hydrological analysis using two GIS software: ArcGIS and Idrisi GIS. The aim of the research is to analyse the situation of the river basin in the selected study area (Gallocanta, Spain), to assess possible risks for floods and landslides. The study aims to understand the processes and spatial and temporal patterns of surface-climate interaction in a watershed to assess the impacts of the local climate change on the hydrological conditions of the lake's surroundings and to develop geomorphic analysis using SRTM input data, for effective environmental management.

Mots clés: SIG et modélisation spatiale; GIS Analysis; SIG Systèmes d'information géographique; Terrain analysis; Image processing Digital image processing; Satellite Images; Landsat Imagery; Landsat ETM+; Landsat TM and ETM data; SRTM DEM; DEM modelisation; DEM analysis; Geomorphological features

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Ordinateur et société [cs.CY]; Synthèse d'image et réalité virtuelle [cs.GR]; Interface homme-machine [cs.HC]; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Géographie; Etudes de l'environnement; Méthodes et statistiques

Polina Lemenkova. Flow Direction and Length Determined by ArcGIS Spatial Analyst and Terrain Elevation Data Sets. Priority directions of the development of young research farmers in modern science, Caspian research Institute of arid agriculture (FGBNU Prikaspijskij NII aridnogo zemledelija), May 2016, Solenoe Zajmishhe, Russia. pp.579-583, ⟨10.6084/m9.figshare.7210217⟩. ⟨hal-01972892⟩