Aiming at the geomorphological and geometrical features of basin, a recognition approach combined with landform classification discriminant analysis is presented. First, k-means algorithm applied to digital elevation model data. The basic types landforms elevation, slope, relief amplitude are clustered, regions plains, mountains, hills have been separated. Focusing on plain its neighboring regi...

We introduce a novel method for classification and mapping of landforms based on the idea that the Earth’s surface can be described by the two complementary measures: relief-independent, local spatial pattern and the magnitude of the relief itself. The first of these two measures is sufficient to classify and map the landforms. At the core of the method is the concept of geomorphon (geomorpholo...

Automatic procedures for landform extraction is a growing research field but extensive quantitative studies of the prediction accuracy Landform Classification (ACL) based on direct comparison with geomorphological maps are rather limited. In this work, we test an algorithm automatic classification large sector Ionian coast southern Italian belt through detailed map. was performed by using indiv...

Irreplaceable, self-organizing landforms and the endemic and ecologically specialized biodiversity they support are threatened globally by anthropogenic disturbances. Although the outcome of disrupting landforms is somewhat understood, little information exists that documents population consequences of landform disturbance on endemic biodiversity. Conservation strategies for species dependent u...

Multi-temporal remote sensing imagery has the potential to classify river landforms reconstruct evolutionary trajectory of morphologies. Whilst open-access archives high spatial resolution are increasingly available from satellite sensors, such as Sentinel-2, there remains a fundamental challenge maximising utility information in each band whilst maintaining sufficiently fine identify landforms...