Digital terrain analysis and remote sensing applied to geomorphometric characterization of landforms

• Grant number: 09/17675-5
• Support Opportunities: Regular Research Grants
• Start date: March 01, 2010
• End date: February 28, 2013
• 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 Geociências (IGC). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

In this project we propose a comparison among digital elevation models build from topographic maps, stereoscopic orbital images (ASTER and ALOS-PRISM), radar interferometry, differential GPS and laser altimetry (LiDAR), in order to evaluate the applicability and the cost-benefit relationship of each product in geomorphometric/morphotectonic analysis.Several targets can be selected for testing, according to their relief, forest cover, land use or even the availability of data. This flexibility in selecting target areas allows a wide institutional insertion by means of collaboration with other researchers in present or future research projects and, also, the development of human resources, since it can be attractive to undergraduate or graduate students with interest in study distinct geographic regions.Two areas were pre-selected for studies: the Itapirubá dune field (Santa Catarina state, southern Brazil) and the karstic region of the high Ribeira river valley (southern São Paulo state). The dune field area is ideal for studying the relationship between spatial resolution of digital elevation models (DEMs) with the scale of landforms and the geometric properties calculated from the DEMs, since the landforms are well-defined, relatively clear from vegetation and with easy access for field work. Karstic regions present challenges to hydrological modelling in GIS, due the existence of several runoff sinking points of centripetal poligonal drainage basins. Detailed DEMs of the High Ribeira river valley region will allow a better delineation of polygonal drainage basins and the automatic identification of sinkholes, key elements in the study of karstic systems dynamics.The project, with a two-year schedule, will be conducted by the principal researcher in collaboration with professors/researchers from the host institution (IGc-USP) and also from other Brazilian and foreign universities / research institutions. (AU)

Scientific publications

(6)

(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; ENDLEIN, ARTHUR; DA CRUZ CAMPANHA, GINALDO ADEMAR; GROHMANN, CARLOS HENRIQUE. Algorithms for extraction of structural models attitudes from 3D outcrop models. Computers & Geosciences, v. 90, n. A, p. 112-122, MAY 2016. (13/15862-8, 09/17675-5)

GROHMANN, CARLOS H.; SAWAKUCHI, ANDRE O.. Influence of cell size on volume calculation using digital terrain models: A case of coastal dune fields. Geomorphology, v. 180, p. 130-136, JAN 1 2013. (09/17675-5)

VIANA, CAMILA DUELIS; ENDLEIN, ARTHUR; DA CRUZ CAMPANHA, GINALDO ADEMAR; GROHMANN, CARLOS HENRIQUE. Algorithms for extraction of structural models attitudes from 3D outcrop models. Computers & Geosciences, v. 90, p. 11-pg., 2016-05-01. (13/15862-8, 09/17675-5)

GROHMANN, CARLOS H.. Effects of spatial resolution on slope and aspect derivation for regional-scale analysis. Computers & Geosciences, v. 77, p. 111-117, APR 2015. (09/17675-5, 13/50297-0, 12/50260-6)

GROHMANN, C. H.; RICCOMINI, C.; CHAMANI, M. A. C.. Regional scale analysis of landform configuration with base-level (isobase) maps. HYDROLOGY AND EARTH SYSTEM SCIENCES, v. 15, n. 5, p. 1493-1504, 2011. (09/17675-5)

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)