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Statistical methods for LiDAR analysis

Abstract

Dr. Rubén Valbuena comes to Brazil for a period of fifteen days to participate in two projects that have already started and have been coordinated via internet. These initiatives have had the financial support from a mobility project funded by the European Community, of which the requester of this aid is one of the coordinators. This project is titled "ForEAdapt - Knowledge exchange between Europe and America on forest growth models and optimization for adaptive forestry" (FP7-PEOPLE-2009-IRSES) and is financed with funds from the Marie Curie International Research Staff Exchange Scheme (COST Action - www.isa.utl.pt/cef/pub/ForEAdapt/). One project, funded by ForEAdapt, has already allowed one of my PhD students to develop one of the chapters of his thesis during a short stay of two months in the institution to which Dr. Valbuena is linked. To continue this work, the visit will also allow Dr. Valbuena to participate in the process of completing the writing of articles and watch the thesis defense. The second project, entitled "Indicators of Biodiversity for the Brazilian Atlantic Forests using airborne LiDAR", started from a partnership with researchers associated with the EFI, the University of Eastern Finland and the University of Sao Paulo. (AU)

Scientific publications
(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)
GORGENS, ERIC BASTOS; VALBUENA, RUBEN; ESTRAVIZ RODRIGUEZ, LUIZ CARLOS. A Method for Optimizing Height Threshold When Computing Airborne Laser Scanning Metrics. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, v. 83, n. 5, p. 343-350, MAY 2017. Web of Science Citations: 5.
ALVES DE ALMEIDA, DANILO ROBERTI; NELSON, BRUCE WALKER; SCHIETTI, JULIANA; GORGENS, ERIC BASTOS; RESENDE, ANGELICA FARIA; STARK, SCOTT C.; VALBUENA, RUBEN. Contrasting fire damage and fire susceptibility between seasonally flooded forest and upland forest in the Central Amazon using portable profiling LiDAR. REMOTE SENSING OF ENVIRONMENT, v. 184, p. 153-160, OCT 2016. Web of Science Citations: 15.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.