Use of hyperspectral images of high spatial resolution in remote recognition of species of flora in Southeastern Brazil: methodological development and application potential in geobotany

• Grant number: 10/51758-2
• Support type: Regular Research Grants
• Duration: November 01, 2010 - October 31, 2013
• Field of knowledge: Physical Sciences and Mathematics - Geosciences
• Principal researcher: Teodoro Isnard Ribeiro de Almeida
• Grantee: Teodoro Isnard Ribeiro de Almeida
• Home Institution: Instituto de Geociências (IGC). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Recognizing tropical forest species from images obtained from high spatial resolution hyperspectral sensors is a recent achievement that will utterly change geobotanical and forestry studies. The proposed research starts with a pioneer mosaic of hyperspectral images of the airborne SpecTIR LCC sensor, with a spectral resolution of about 10nm, 357 contiguous bands, between 350 and 3.456nm and spatial resolution of lm: images obtained at the first operation of such a type of sensor in Brazil. The imaged area is part of Mogi Guaçu Ecological Station and environs, and presents Seasonal Semideciduous Tropical Forest (SSTF) and Cerrado "sensu latu" (CSL) in various regeneration stages. This area also contains a grove with over a thousand species. It will be spectrally individualized emergent species in SSTF, scrubby-arborous species in CSL, including species of pharmacological interest, lianas, and exotic invading species in the Mogi Guaçu Ecological Station. It will be established methodology for identifying different SSTF formation, phisiognomy and regeneration stages of CSL and patterns and deviations in species distribution. These are essential datum for Geobotany, as vegetation response to anomalous geochemical conditions is usually expressed by the presence of indicator species and/or biodiversity variations. It will be verified the dissimilarity of flora over the different geological and pedological unities in the area considered. Lastly, it will be done spectrometry by leaf reflectance, so as to identify the optimum yearly season for hyperspectral imaging species recognition. (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)

DO AMARAL, CIBELE HUMMEL; RIBEIRO DE ALMEIDA, TEODORO ISNARD; DE SOUZA FILHO, CARLOS ROBERTO; ROBERTS, DAR A.; FRASER, STEPHEN JAMES; ALVES, MARCOS NOPPER; BOTELHO, MORENO. Characterization of indicator tree species in neotropical environments and implications for geological mapping. REMOTE SENSING OF ENVIRONMENT, v. 216, p. 385-400, OCT 2018. Web of Science Citations: 0.

AMARAL, CIBELE H.; ROBERTS, DAR A.; ALMEIDA, TEODORO I. R.; SOUZA FILHO, CARLOS R. Mapping invasive species and spectral mixture relationships with neotropical woody formations in southeastern Brazil. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 108, p. 80-93, OCT 2015. Web of Science Citations: 10.