Automatic extraction of the Amazon Basin drainage network using data mining in DEM...
| Grant number: | 16/06628-0 |
| Support type: | Regular Research Grants |
| Duration: | June 01, 2017 - May 31, 2019 |
| Field of knowledge: | Physical Sciences and Mathematics - Geosciences |
| Principal Investigator: | Carlos Henrique Grohmann de Carvalho |
| Grantee: | Carlos Henrique Grohmann de Carvalho |
| Home Institution: | Instituto de Energia e Ambiente (IEE). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Assoc. researchers: | André Oliveira Sawakuchi ; André Pires Negrão ; Bernardo Tavares Freitas ; Claudio Riccomini ; Fabiano Do Nascimento Pupim ; Flavio Guilherme Vaz de Almeida Filho ; Jorge Pimentel Cintra ; Thiago Sanna Freire Silva |
Abstract
In this research project we propose the extraction of geological/geomorphological information from three- dimensional surfaces generated by two methods, Terrestrial LiDAR and Structure from Motion. Four study areas/subjects were pre-selected: the Garopaba dune field (Santa Catarina State, southern Brazil), outcrops with occurrences of clastic dikes near Ipeúna/Rio Claro (São Paulo State), landslide-prone areas at Serra do Mar and the automatic extraction/characterization of planar discontinuities in fractured rock massifs. Relevant scientific questions can be answered by the proposed analysis in the selected study areas, such as the migration rate and sediment volume change at the Garopaba Dune field (important factors for climatic modeling and reservoir geology, respectively), the geometry of clastic dikes swarm (determined without any bias given by the outcrop orientation, therefore allowing better paleostress modeling and permeability in unconventional oil/gas reservoirs), evaluating the dynamic behavior of landslide areas in the Serra do Mar Range (a subject of high importance due the adverse effects suffered by human occupations in mountainous regions) and the determination of metric and topological properties of joint systems in rock massifs (important elements in geotechnical analysis and in characterization of reservoir analogues). Methodological results will be related to data acquisition, evaluation of precision of derived models and development of open- source computational routines for analysis of point could data. The project, with a two-year schedule, will be conducted by the principal researcher in collaboration with professors/researchers and students from the host institution (IEE-USP) and also from other Brazilian universities. (AU)