@InProceedings{VasconcelosMoraConf:2000:ApSeRe,
               author = "Vasconcelos, C. H. and Moraes, Evlyn Marcia Leao de and 
                         Confalonieri, U",
                title = "Aplica{\c{c}}{\~a}o de sensoriamento remoto e sistema de 
                         informa{\c{c}}{\~a}o geogr{\'a}fica {\`a} 
                         identifica{\c{c}}{\~a}o de habitats do mosquito transmissor da 
                         mal{\'a}ria na regi{\~a}o do reservat{\'o}rio de 
                         Tucuru{\'{\i}} - PA",
                 year = "2000",
         organization = "SELPER.",
             keywords = "ESTUDOS INTEGRADOS DO MEIO AMBIENTE, Reservat{\'o}rio de 
                         Tucuru{\'{\i}} (PA), sa{\'u}de p{\'u}blica, sistemas de 
                         informa{\c{c}}{\~a}o geogr{\'a}fica, monitoramento ambiental, 
                         environmental monitoring, public healt, geographic information 
                         systems, GIS, Landsat 5.",
             abstract = "Malaria is one of the greatest public health problems in the 
                         world. In 1994, near half a million cases of malaria occurred in 
                         Brazil, most of which in the Amazon region. Areas characterized by 
                         high temperatures, high pluviosity and humidity surrounding large 
                         lakes, mainly, in the tropical are more vulnerable to malaria. 
                         Those environmental features provide the are suitable for the 
                         disease vectors devolopment in the larval phase. Remote sensing 
                         and Geographical Information System (GIS)techniques have decreased 
                         the cost and time on epidemiological researches since they are 
                         used in regional scales to identify vegetation types and to 
                         monitor the weather and the spatial variability of vegetation 
                         features related to the proliferation of the disease vectors. This 
                         study aims to identify the habitats of the malaria transmitter 
                         mosquito (A. darlingi)in the Tucuru{\'{\i}}-PA reservoir region 
                         by applying remote sensing and Geographical Information System 
                         (GIS)techniques. The images TM-LANDSAT-5 and SAR-RADARSAT will be 
                         used for the land-use mapping in three municipalities 
                         Tucuru{\'{\i}}, Novo Repartimento and Nova Jacund{\'a} and for 
                         monitoring the Tucuru{\'{\i}} UHE reservoir seasonal 
                         variability. Remote sensing information will be compared to 
                         historical malaria transmition data from 95 to 97. This data will 
                         be integrated in the remote sensing through SPRING 3.4 software. 
                         Thus, the objective is to identify the major incidence areas by 
                         monitoring their environmental characteristics. In the near 
                         future, Public Health authorities will be able to use these datas 
                         in order to control and predict malaria transmition in the Amazon 
                         region with low costs and efficacy.",
  conference-location = "Puerto Iguaz{\'u}, AR",
      conference-year = "Simposio Latinoamericano de Percepcion Remota, 9",
                label = "9500",
           targetfile = "INPE 8524.pdf",
        urlaccessdate = "06 maio 2024"
}