%0 Conference Proceedings
%4 dpi.inpe.br/plutao@80/2009/12.22.14.17.12
%2 dpi.inpe.br/plutao@80/2009/12.22.14.17.13
%@isbn 9781424433957
%F lattes: 8678564148136140 5 SantosFrMaVaVaRoHe:2009:ChDeSe
%T Change detection in the semi-arid lanscape using radiometric rotation applied to remote sensing data
%D 2009
%A Santos, João Roberto dos,
%A Frau, Carlos Mena,
%A Maldonado, Francisco Dario,
%A Valenzuela, John Gajardo,
%A Valeriano, Márcio de Morisson,
%A Rojas, Yony Ormazábal,
%A Hernández, Yohana Morales,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidad de Talca
%@affiliation Fundação de Ciência, Aplicações e Tecnologias Espaciais (FUNCATE)
%@affiliation Universidad de Talca
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidad de Talca
%@affiliation Universidad de Talca
%@electronicmailaddress jroberto@dsr.inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress valerian@dsr.inpe.br
%B International Geoscience and Remote Sensing Symposium (IGARSS)
%C Cape Town
%8 12-17 Jul. 2009
%I IEEE
%P III310-III313
%S Proceedings
%1 The Institute of Electrical and Electronics Engineers; Geoscience and Remote Sensing Society
%K Change detection, Degradation patterns, Field surveys, Main tasks, Matorral, Multi-spectral, Multi-temporal, Remote sensing data, Semi arid, Straight lines, Vegetation mapping, Agriculture, Degradation, Geology, Land use, Reforestation, Remote sensing, Rotation, Signal detection, Timber, Vegetation, Radiometry.
%X The main task is to apply in the semi arid landscape of Maule region (Chile), the multi-temporal change detection algorithm RCNA multi-spectral, using TM/Landsat images (2004 and 2008). The RCNA is based in angular parameters; those angles are calculated in function of the axis formed by the straight line of regression of those points labeled in the field survey as no-change.The image for detection was transformed from a continuous (floating-point) to thematic image, through a slicing and labeling process. Hence it is possible to discriminate: two classes related to degradation, two referring to regeneration and one of no-change. In the timeframe studied 4.6 % of area under study presents degradation patterns, derived from the complete removal of the matorral type, followed by changes of land use. We found out that the application of multi-spectral RCNA technique in semi-arid landscape is sufficiently robust and the complex radiometric correction is not necessary.
%@language en
%3 santos_change.pdf
%O Setores de Atividade: Agricultura, Pecuária, Silvicultura e Exploração Florestal.