@InProceedings{CrepaniDuarShia:2002:DiPrLa,
               author = "Crepani, Edison and Duarte, Valdete and Shiamabukuro, Yosio 
                         Edemir",
          affiliation = "Instituto Nacional de Pesquisas Espaciais, Divis{\~a}o de 
                         Gera{\c{c}}{\~a}o de Imagens (INPE, DGI) and Instituto Nacional 
                         de Pesquisas Espaciais, Coordena{\c{c}}{\~a}o do Programa 
                         Amaz{\^o}nia (INPE, AMZ) and Instituto Nacional de Pesquisas 
                         Espaciais, Divis{\~a}o de Sensoriamento Remoto (INPE, DSR)",
                title = "Digital processing of Landsat-5 TM data for land use land cover 
                         regional mapping",
            booktitle = "Proceedings...",
                 year = "2002",
         organization = "International Symposium on Remote Sensing of Environment (ISRSE), 
                         29.",
             keywords = "land use land cover, Remote Sensing, Geoprocessing techniques.",
             abstract = "The objective of this work is to present a methodological approach 
                         for land use land cover regional mapping, using Remote Sensing and 
                         Geoprocessing techniques. The study area, comprised between the 
                         geographic coordinates 01 o 45' and 08 o 20' South Latitude and 44 
                         o 00' and 54 o 00' West Longitude, is covered by 17 Thematic 
                         Mapper (TM)images of Landsat satellite. This methodology consists 
                         on the generation of synthetic images (vegetation, soil and 
                         shade), through the spectral linear mixing model using the TM 
                         bands 3, 4, and 5, to enhance the contrast among targets of 
                         interest and to minimize computer processing time during the 
                         classification task. This task was performed using the image 
                         segmentation algorithm, followed by the non-supervised 
                         classification of regions and mapping the pre-defined classes of 
                         interest (thematic legend). The mapping result is finally edited 
                         by the photointerpreter with the purpose of correcting any 
                         classification errors, based on his experience and using available 
                         ancillary information (aerial photographs, maps, etc.). The 
                         proposed approach is feasible for large areas using TM or other 
                         high-resolution data, producing very reliable map, and permitting 
                         to update it at any time and to integrate it with other 
                         information in the database. composite generally formed by bands 
                         3, 4, and 5 of the {"}Thematic Mapper{"} sensor. The resulting 
                         maps, obtained in the analogical form, needs to be available in a 
                         Geographical Information System (GIS)for wider use. For this, it 
                         is necessary to execute digitizing and/or scanning tasks of the 
                         maps obtained. This procedure becomes expensive and not adequate 
                         for future updates and/or integration with other information, due 
                         to introduced geometric errors The evolution of image processing 
                         softwares, storage capacity, and computer processing velocity, in 
                         recent years, have been motivating the development of new 
                         methodologies of digital interpretation of high and medium spatial 
                         resolution data, especially for large areas. The information 
                         obtained can then be integrated with other types of information 
                         (cartographic and field data), introduced in a geo-referenced 
                         database. However, the conventional digital analysis of Landsat TM 
                         data (30 m of spatial resolution)based on classification pixel by 
                         pixel, is.",
  conference-location = "Buenos Aires, AR",
      conference-year = "8-12 Apr. 2002",
           copyholder = "SID/SCD",
                label = "10024",
             language = "en",
           targetfile = "INPE 9041.pdf",
        urlaccessdate = "29 jun. 2024"
}