@Article{SouzaGalvKörtPrie:2020:DySaCl,
               author = "Souza, Alana Almeida de and Galv{\~a}o, L{\^e}nio Soares and 
                         K{\"o}rting, Thales Sehn and Prieto, Juan Doblas",
          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 = "Dynamics of savanna clearing and land degradation in the newest 
                         agricultural frontier in Brazil",
              journal = "GIScience and Remote Sensing",
                 year = "2020",
               volume = "57",
               number = "7",
                pages = "965--984",
             keywords = "MATOPIBA, savanna clearing, land degradation, big data, fire, 
                         topography.",
             abstract = "We investigated the dynamics of savanna clearing and land 
                         degradation in the MATOPIBA region, the newest agricultural 
                         frontier over the Cerrado in Brazil. For geospatial analysis of 
                         the big data, we used algorithms available on the Google Earth 
                         Engine (GEE) platform along with different satellite products. For 
                         the detection of vegetation clearing in the 19852018 period, we 
                         applied the LandTrendr algorithm to the normalized difference 
                         vegetation index (NDVI) obtained from Landsat satellite 
                         instruments. In the evaluation of land degradation (20012015), we 
                         used the Trends.Earth algorithm to analyze NDVI data calculated 
                         from the Moderate Resolution Imaging Spectroradiometer (MODIS). By 
                         combining different datasets into the analysis, we discussed the 
                         relationships among savanna clearings, land degradation, 
                         topographic attributes, and fire frequency. The results showed 
                         that the largest proportions of savanna clearing in the 19851990 
                         period were detected in the south of MATOPIBA (mesoregions 
                         Ocidental do Tocantins and Extremo Oeste Baiano). The savanna 
                         clearing progressed toward the mesoregions Oriental do Tocantins, 
                         Sudoeste Piauiense, and Sul Maranhense between 1991 and 2005. 
                         Variations over time in cleared areas ranged from 0.086 Mha to 
                         2.146 Mha per year, showing well-defined peaks in 1986, 1991, and 
                         2012. The clearing events followed the soybean expansion, 
                         especially over flat terrains at high elevations. In addition to 
                         the spillover effects of the Amazon Soy Moratorium on the 
                         savannas, other political and economic factors promoted changes in 
                         cleared areas of MATOPIBA. Compared to the decade preceding the 
                         signature of the Amazon Soy Moratorium in 2006, the cleared area 
                         of MATOPIBA increased 41% in the 10-year post-moratorium period. 
                         In the other analysis, our Trends. Earth results showed that the 
                         largest proportions of land degradation areas, as proxied by the 
                         MODIS NDVI, were the Sudoeste Piauiense and Centro Maranhense. 
                         These mesoregions presented distinct patterns of precipitation and 
                         soil composition. The number of fire events increased with 
                         vegetation clearing. However, the amount of cleared areas 
                         correlated moderately with that of burned areas due to the 
                         multi-use of fire in the region. Finally, we observed that the 
                         amount of land-degraded areas increased with fire frequency over 
                         agricultural areas, but remained relatively stable over native 
                         vegetated areas. Results highlight the importance of satellite 
                         sensors and cloudcomputing platforms to inspect long-term 
                         trajectories of land occupation and degradation over broad savanna 
                         areas.",
                  doi = "10.1080/15481603.2020.1835080",
                  url = "http://dx.doi.org/10.1080/15481603.2020.1835080",
                 issn = "1548-1603",
             language = "en",
           targetfile = "souza_dynamics.pdf",
        urlaccessdate = "28 abr. 2024"
}