Use of hyperspectral images and LiDAR technology in the identification of tree species in urban environment in the city of Belo Horizonte, Minas Gerais

• Grant number: 13/21338-0
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2014
• End date: March 31, 2015
• Field of knowledge: Biological Sciences - Ecology - Applied Ecology
• Principal Investigator: Demóstenes Ferreira da Silva Filho
• Grantee: Felipe Coelho de Souza Petean
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil

Abstract

The urban forestry is one of the elements that have the primary duty to promote the quality of life in cities. The air quality, thermal, acoustic and psychological comfort are examples of benefits that trees bring to the urban environment. Tree-lined streets and public areas perform other functions such as serving as shelter for wildlife, protection of waterways and connecting corridors between forest fragments inserted into the urban landscape, as well as mitigate emissions of Greenhouse Gases (GHG) such as CO2, acting as natural air filters and sinks of CO2. Thus new remote sensing technologies have emerged to assist in the planning of afforestation in urban environments. The LiDAR system (Light Detection And Ranging), allows the generation of a three-dimensional image of the surface of the layer or forestry. The LiDAR also permits the identification of individual species by analyzing the canopy area and forest stratum through the intersection with multispectral sensors. The objective is to explore the possibility of identifying forest individuals at the species level, from the Américo Renne Giannetti Municipal Park in Belo Horizonte, Minas Gerais, Brazil, through the intersection of LiDAR and hyperspectral images, forming a database that subsidizes the city's urban forestry planning and management of urban green areas. The softwares to be used will be Fusion® version 3.30 in LiDAR data analysis, Quantum GIS® Version 1.8.0 Lisbon and MultiSpec® version 3.3 in the analysis of the data generated by the program Fusion® and hyperspectral images. The intersection form of the images is based on the methodology described by Xiao et al. (2004), Suarez et al. (2005), Tiede et al. (2005) and Ribas and Elmiro (2011). (AU)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

PETEAN, Felipe Coelho de Souza. Use of hyperspectral imagery and LiDAR technology to identify tree species in an urban environment in the city of Belo Horizonte, Minas Gerais. 2015. Master's Dissertation - Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALA/BC) Piracicaba.