Application of high-resolution digital elevation models in geology and geomorphology

• Grant number: 16/06628-0
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2017
• End date: May 31, 2019
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Geology
• Principal Investigator: Carlos Henrique Grohmann de Carvalho
• Grantee: Carlos Henrique Grohmann de Carvalho
• Host Institution: Instituto de Energia e Ambiente (IEE). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated 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)

Scientific publications

(9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

VIANA, CAMILA DUELIS; GROHMANN, CARLOS HENRIQUE; TOLEDO BUSARELLO, MARIANA DOS SANTOS; BENNTO GARCIA, GUILHEIME PEREIRA. Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil. BRAZILIAN JOURNAL OF GEOLOGY, v. 48, n. 4, p. 839-852, OCT-DEC 2018. (16/06628-0)

GROHMANN, CARLOS H.. Evaluation of TanDEM-X DEMs on selected Brazilian sites: Comparison with SRTM, ASTER GDEM and ALOS AW3D30. REMOTE SENSING OF ENVIRONMENT, v. 212, p. 121-133, JUN 2018. (16/06628-0, 13/50297-0, 12/50260-6)

GARCIA, GUILHERME P. B.; GROHMANN, CARLOS H.. DEM-based geomorphological mapping and landforms characterization of a tropical karst environment in southeastern Brazil. Journal of South American Earth Sciences, v. 93, p. 14-22, AUG 2019. (16/06628-0, 13/50297-0)

XU, GUOSEN; WANG, YI; WANG, LIZHE; SOARES, LUCAS PEDROSA; GROHMANN, CARLOS H.. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: An Application to Brazil. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 15, p. 16-pg., 2022-01-01. (19/17555-1, 16/06628-0)

GARCIA, G. P. B.; SOARES, L. P.; ESPADOTO, M.; GROHMANN, C. H.. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, v. 44, n. 7, p. 28-pg., 2023-04-03. (16/06628-0, 19/26568-0)

GROHMANN, CARLOS H.; VIANA, CAMILA D.; GARCIA, GUILHERME P. B.; ALBUQUERQUE, RAFAEL W.. Remotely piloted aircraft -based automated vertical surface survey. METHODSX, v. 10, p. 6-pg., 2023-01-01. (16/06628-0, 19/26568-0)

GROHMANN, CARLOS H.; GARCIA, GUILHERME P. B.; AFFONSO, ALYNNE ALMEIDA; ALBUQUERQUE, RAFAEL WALTER. Dune migration and volume change from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo. Computers & Geosciences, v. 143, p. 13-pg., 2020-10-01. (16/06628-0, 09/17675-5)

GUILHERME PEREIRA BENTO GARCIA; CARLOS HENRIQUE GROHMANN; CAMILA DUELIS VIANA; ELTON BARBOSA GOMES. Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison. Bol. Ciênc. Geod., v. 28, n. 3, 2022-10-10. (19/26568-0, 16/06628-0)

SOARES, LUCAS PEDROSA; DIAS, HELEN CRISTINA; BENTO GARCIA, GUILHERME PEREIRA; GROHMANN, CARLOS HENRIQUE. Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil. REMOTE SENSING, v. 14, n. 9, p. 17-pg., 2022-05-01. (19/26568-0, 16/06628-0)