@InProceedings{ShimabukuroAraiDuarDutr:2019:AsLaUs,
               author = "Shimabukuro, Yosio Edemir and Arai, Egidio and Duarte, Valdete and 
                         Dutra, Andeise Cerqueira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Assessment of land use cover in Brazil, South America using 
                         fraction images derived from Proba-V datasets",
            booktitle = "Proceedings...",
                 year = "2019",
                pages = "6401--6404",
         organization = "International Geoscience and Remote Sensing Symposium (IGARSS)",
            publisher = "IEEE",
             keywords = "Remote Sensing, Image Processing, Deforestation, Forest 
                         Degradation, Burned Areas, Fraction Images, PROBA-V.",
             abstract = "The objective of this paper is to present a method to assess the 
                         extent of annual land use/land cover in Brazil, South America. The 
                         proposed method applies the Linear Spectral Mixing Model (LSMM) to 
                         PROBA-V datasets to derive vegetation, soil and shade fraction 
                         images for global and regional analysis. We used 1 km composites 
                         of 10 days (S10-TOC - 10-daily global composites, Top-Of-Canopy) 
                         for the South America and 100 m composites of 5 days (S5-TOC - 
                         5-daily global composites, Top-Of-Canopy) for the Mato Grosso 
                         State, Brazilian Amazon. Then we built the 1km and 100m composites 
                         corresponding to the three endmembers with the highest fraction 
                         values during the year 2015. In that manner we could detect and 
                         map the areas occupied by main crops in Brazil, during the 2015 
                         year, using the vegetation fraction composites. Also, PROBA-V 
                         images were acquired in the dry season, on 21 June, 26 July and 11 
                         August 2015 to show the potentiality of these images to assess the 
                         land cover changes due to deforestation and forest degradation by 
                         fire. The agricultural areas mapped using 1km dataset were 
                         compared with 100m results for the Mato Grosso State showing a 
                         difference of 12% (58,834 km2 and 66,490 km2 , respectively). The 
                         results are very important for the government and nongovernmental 
                         organizations for planning and management of the tropical 
                         environment.",
  conference-location = "Yokohama, Japan",
      conference-year = "28 July - 02 Aug.",
             language = "en",
           targetfile = "shimabukuro_assessment.pdf",
        urlaccessdate = "28 abr. 2024"
}