@InProceedings{MaldonadoCarv:2003:InDeEs,
               author = "Maldonado, Francisco D{\'a}rio and Carvalho, Vitor Celso",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE). Universidad 
                         Nacional de San Juan (UNSJ).} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Indicador de degrada{\c{c}}{\~a}o a escala sub-regional para 
                         detec{\c{c}}{\~a}o de mudan{\c{c}}as na cobertura das terras 
                         com sensoriameno remoto",
            booktitle = "Anais...",
                 year = "2003",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "1353--1356",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 11. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "caatinga, remote sensing, principal components analysis, change 
                         detection.",
             abstract = "At the brazilian semi-arid region, the pressure of human 
                         occupation changes is shown by non-sustainable land use forms. The 
                         multi-temporal analysis of changes from the Caatinga Land Cover, 
                         provides sufficient information about the dynamics of this typical 
                         land use.The definition of land degradation indicators is 
                         considered a fundamental stage to stablish an operational 
                         monitoring system. In remote sensing techniques, the effort is to 
                         improve the use of spectral identification of degradation 
                         indicators. We propose an experimental indicator method: the 
                         statistical distance to the non-change axis of image scatterogram. 
                         The selected area for this study is located at the 
                         central-southern semi-arid section of Pernambuco State, NE Brazil. 
                         It covers an area of about 190 km2 and is located between 
                         geographical coordinates 8° 00 S and 8° 07 S latitude and 39° 
                         45and 39° 53 W. The method use the new technique of RCENM 
                         (Controled Rotation by Non-change axis) desenvolved in INPE. This 
                         was combined with a slicing of 2nd PC. The principle of this 
                         method consists of a radiometric rotation of the Non-change axis 
                         of multitemporal images with the band of the visible spectrum. 
                         This technique controls the rotation angle to obtain the best 
                         result in terms of Map Accuracy Kappa index. The best performance 
                         of the method is achieved through the use of interactive field 
                         data. The original images were rotated in an angle of 42°, for 
                         PCA(Principal Component Analysis. Thus, starting from a rotation 
                         angles obteined from regression of Non-change field samples, we 
                         arrived to a better result. This method minimizes the relationship 
                         time/cost of digital map processing. Using the statistical 
                         distances to the scatterogram no-change axis, we can arrive to an 
                         indicator of land degradation for different environmental 
                         conditions in the semi-arid regions.",
  conference-location = "Belo Horizonte",
      conference-year = "5-10 abr. 2003",
           copyholder = "SID/SCD",
                 isbn = "85-17-00017-X",
             language = "Portuguese",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2002/11.16.14.27",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2002/11.16.14.27",
           targetfile = "12_264.pdf",
                 type = "Monitoramento e Modelagem Ambiental / Environmental Monitoring and 
                         Modeling",
        urlaccessdate = "16 maio 2024"
}