@InProceedings{GrecchiBeucShimAcha:2015:MuApAs,
               author = "Grecchi, Rosana Cristina and Beuchle, Ren{\'e} and Shimabukuro, 
                         Yosio Edemir and Achard, Fr{\'e}deric",
          affiliation = "{Joins Research Centre of the European Commission} and {Joins 
                         Research Centre of the European Commission} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Joins Research Centre 
                         of the European Commission}",
                title = "A multidisciplinary approach for assessing forest degradation in 
                         the brazilian amazon",
            booktitle = "Proceedings...",
                 year = "2015",
                pages = "1941--1944",
         organization = "International Geoscience and Remote Sensing Symposium (IGARSS)",
            publisher = "IEEE",
             keywords = "Brazilian Amazon, forest degradation, fragmentation, indicators, 
                         selective logging.",
             abstract = "This paper presents a multidisciplinary approach used to assess 
                         forest degradation in the Brazilian Amazon based on remote sensing 
                         and spatial pattern analysis techniques. The selected study area 
                         is located in the Mato Grosso State, which is one of the states of 
                         the Brazilian legal Amazon with the highest deforestation rates 
                         and with a high concentration of selective logging activities and 
                         forest fires. We used an object-based image analysis for mapping 
                         degraded forest areas and compared their spatial distribution with 
                         that of fragmentation and edge indicators and the distance to 
                         roads. Our results show that the majority of these disturbed 
                         forest areas occur within a distance of less than 5 km from the 
                         main roads, are located between 100m and 5 km from the forest 
                         edge, and show higher entropy (used as a measure of 
                         fragmentation). However, circa 30% of the degradation occurred in 
                         areas considered as 'core areas.",
  conference-location = "Milan, Italy",
      conference-year = "23-31 July",
                  doi = "10.1109/IGARSS.2015.7326175",
                  url = "http://dx.doi.org/10.1109/IGARSS.2015.7326175",
                 isbn = "978-147997929-5",
         organisation = "Institute of Electrical and Electronics Engineers Geoscience and 
                         Remote Sensing Society (IEEE GRSS)",
        urlaccessdate = "24 abr. 2024"
}