@InProceedings{SantosFrMaVaVaRoHe:2009:ChDeSe,
               author = "Santos, Jo{\~a}o Roberto dos and Frau, Carlos Mena and Maldonado, 
                         Francisco Dario and Valenzuela, John Gajardo and Valeriano, 
                         M{\'a}rcio de Morisson and Rojas, Yony Ormaz{\'a}bal and 
                         Hern{\'a}ndez, Yohana Morales",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidad de Talca} and Funda{\c{c}}{\~a}o de Ci{\^e}ncia, 
                         Aplica{\c{c}}{\~o}es e Tecnologias Espaciais (FUNCATE) and 
                         {Universidad de Talca} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidad de Talca} and {Universidad de 
                         Talca}",
                title = "Change detection in the semi-arid lanscape using radiometric 
                         rotation applied to remote sensing data",
            booktitle = "Proceedings...",
                 year = "2009",
                pages = "III310--III313",
         organization = "International Geoscience and Remote Sensing Symposium (IGARSS)",
            publisher = "IEEE",
                 note = "Setores de Atividade: Agricultura, Pecu{\'a}ria, Silvicultura e 
                         Explora{\c{c}}{\~a}o Florestal.",
             keywords = "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.",
             abstract = "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.",
  conference-location = "Cape Town",
      conference-year = "12-17 Jul. 2009",
                 isbn = "9781424433957",
                label = "lattes: 8678564148136140 5 SantosFrMaVaVaRoHe:2009:ChDeSe",
             language = "en",
         organisation = "The Institute of Electrical and Electronics Engineers; Geoscience 
                         and Remote Sensing Society",
           targetfile = "santos_change.pdf",
        urlaccessdate = "01 maio 2024"
}