MULTISPECTRAL DIGITAL DATA ANALISYS OF HIGH RESOLUTION ACQUIRED WITH THE COMPACT AIRBORNE SPECTROGRAPHIC IMAGER SENSOR IN THE COUNTRY AREA OF PARANÁ STATE - BRAZIL

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Paulo Costa de Oliveira Filho Attilio Antonio Disperati Flávio Felipe Kirchner

Abstract

The purpose of this study is to analyse, using digital and visual approaches,  the data from 7 multispectral bands provided by the Canadian sensor "Compact Airborne Spectrographic Imager". The spectral configuration was from one tested in Canada and the spectral ranges of each of the bands were the following: band 1 (455.0 - 481.4 hm), band 2 (448.4 - 555.5 hm), band 3 (678.4 - 682.0 hm), band 4 (710.7 - 714.3 hm), band 5 (736.0 - 739.6 hm), band 6 (746.9 - 750.5 hm), band 7 (785.0 - 788.6 hm). The study area is located in the Experimental Research Farm from the Federal University of Paraná, located in Pinhais County, 18 km north of Curitiba. A thematic map of the area was elaborated through visual interpretation of stereoscopic aerial photographs 1:8.000, B&W, 23 x 23 cm and 1:2.500 enlarged normal color prints and also detailed fieldwork. The methodology of the research had the following aspects: enhancement techniques; visual interpretation of the individual enhanced bands; defining the possible colour composition using the seven bands and selecting the best color composite; visual comparisons between individual bands and  the best color composite. It was concluded that the bands 4 and 5 provided the best results; the best color composite (RGB) was resulted from the bands R3, G6, B7; the genus Araucaria, Eucalyptus e Pinus were mapped due to their low reflectance values and the visual interpretation of the bands comfirmed the correlation values found in the correlation matrix.

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How to Cite
FILHO, Paulo Costa de Oliveira; DISPERATI, Attilio Antonio; KIRCHNER, Flávio Felipe. MULTISPECTRAL DIGITAL DATA ANALISYS OF HIGH RESOLUTION ACQUIRED WITH THE COMPACT AIRBORNE SPECTROGRAPHIC IMAGER SENSOR IN THE COUNTRY AREA OF PARANÁ STATE - BRAZIL. CERNE, [S.l.], v. 4, n. 1, p. 001-021, oct. 2015. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/592>. Date accessed: 18 sep. 2019.
Keywords
high resolution, CASI, airborne sensor, digital and visual analysis, remote sensing
Section
Article