@InProceedings{PettaErasOhar:2007:MoLaCo,
               author = "Petta, Reinaldo Antonio and Erasmi, Stefan and Ohara, Tomoyuki",
          affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN). Depto. de 
                         Geologia.} and {Goettingen Universitat. Fakult{\"a}t f{\"u}r 
                         Geowissenschaften und Geographie.} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Monitoring land cover changes and desertification process in Rio 
                         Grande do Norte (NE Brazil) with MODIS time series",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "6035--6042",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Desertification, Change Detection, MODIS, Landsat, Vegetation 
                         Data, Serid{\'o}, Brazil.",
             abstract = "This study presents the result of joint efforts by the Lageoma - 
                         Geomatic Laboratory of the Federal University of Rio Grande do 
                         Norte (Brazil), and the Institute of Geography, Dept. of 
                         Cartography, GIS \& Remote Sensing, Univ. of Gottingen (Germany), 
                         with the purpose of to devise a methodology and to test the 
                         usefulness of spatial analysis methodologies in MODIS scales on 
                         images from Feb. 2000 to May 2005 (121 full scenes of MOD13Q1 
                         data), for to quantify the desertification severity and land 
                         degradation hazard in the Rio Grande do Norte State (NE-Brazil) 
                         taking into account both natural and anthropogenic factors. The 
                         target of this study was to evaluate and delineate the current 
                         status of land degradation using remote sensing. Classification 
                         and interpretation of desertified land mapping areas was 
                         accomplished the following stages of treatment of the images MODIS 
                         (i) Acquisition of MODIS original data (MOD13Q1, 250 m); (ii) 
                         Batch import and subsetting of NDVI, EVI and QA channels. Using 
                         the script (PCI Geomatica easi script) and creates a subset for 
                         NE-Brazil; (iii) Cloud masking of MODIS data. Use the PCI 
                         Geomatica Modeler for cloud flagging.(iv) Export data to IMG 
                         format and Import of data to ENVI / save as meta file; (v) 
                         Conversion of map projection and (vi) Filtering of time series 
                         data.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.14.11.38",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.14.11.38",
           targetfile = "6035-6042.pdf",
                 type = "Processamento de Dados e de Imagens",
        urlaccessdate = "09 maio 2024"
}