Landslides are common geological phenomena in high-relief areas, occurring across a range of spatial and temporal scales, and are considered the main erosive process in the geomorphological evolution of such areas.

When occurring close to inhabited zones their destructive effects cannot be underestimated, as well as their capacity to modify the landscape and the huge amount of debris carried to streams and rivers, which may impact water distribution and the environment.

We have a continuous interest in landslides, with students working on their characterization from a morphological point of view with high-resolution DTMs, recognition and mapping with orbital mutispectral imagery, and evaluating the risk imposed by such events to urban settlements.

3D model of a landslide-risk area close to an urban area (made with UAV data)

3D models of a small landslide - left: terrestrial LiDAR; right: UAV data



Helen Cristina Dias (PhD) - Analysis of manual and semi-automatic shallow landslides inventories and its suitability in predictive models

Amanda Mendes de Sousa (MSc) - Monitoring landslide susceptibility: using UAVs to generate 3D models for slope stability analysis in urban areas

Lucas Pedrosa Soares (MSc) - Automatic segmentation of landslide scars in remote sensing imagery with deep learning

Guilherme Pereira Bento Garcia (PhD) - Detection and monitoring of landslides on natural slopes from integrated application of multispectral images and high-resolution elevation models

Luiz Fernando dos Santos (MSc) - Application of High-resolution Digital Terrain Models in slope stability and mass movement analysis

Francesco Barale (undergrad) - Modelling of a small landslide with Terrstrial Laser Scanner.

Elton Barbosa Gomes (undergrad 2018) - Stability analysis of mass movement-prone areas based on High-resolution Digital Terrain Models

Vitor Batista dos Santos (undergrad 2018) - Analysis and 3D modelling of landslides by terrestrial LiDAR and Structure-from-Motion



CNPq #423481/2018-5. - UAV-based high-resolution imaging in geological, geomorphological and environmental analysis.

FAPESP #2016/06628-0 - Application of high-resolution digital elevation models in geology and geomorphology.



IPT – Institute for Technological Research