author = "Bezerra, Francisco Gilney Silva and Aguiar, Ana Paula Dutra de and 
                         Alval{\'a}, R. C. S. and Giarolla, Ang{\'e}lica and Bezerra, 
                         Karine Rocha Aguiar and Lima, P. V. P. S. and Nascimento, F. R. do 
                         and Arai, Eg{\'{\i}}dio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         do Cear{\'a} (UFC)} and {Universidade Federal do Cear{\'a} 
                         (UFC)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Analysis of areas undergoing desertification, using EVI2 
                         multi-temporal data based on MODIS imagery as indicator",
              journal = "Ecological Indicators",
                 year = "2020",
               volume = "117",
                pages = "e106579",
                month = "Oct.",
             keywords = "Desertification, Land degradation, Monitoring of desertification, 
                         Semiarid, Trajectory, Vegetation index.",
             abstract = "Desertification is a global problem that impacts a significative 
                         part of the Earth's surface, which cause a large environmental and 
                         social losses in several regions of the world. The Brazilian 
                         semiarid region, located mainly in the northeast part of the 
                         country, includes areas of moderate to very high susceptibility to 
                         desertification. In order to contribute to a comprehension of the 
                         dimensions of desertification in the Brazilian semiarid region, 
                         this paper aimed to develop a potential indicator for the 
                         evaluation and monitoring of this area, considering an appropriate 
                         temporal and spatial scales. For this objective, satellite data 
                         were used for the identification and monitoring of sub-areas 
                         potentially undergoing degradation/desertification. Thus 
                         multitemporal series of Enhanced Vegetation Index 2 (EVI2) 
                         covering the period between 2000 and 2016 was used, which were 
                         calculated from data provided by the MODIS sensor carried aboard 
                         the Terra satellite. Besides, previous samples were selected for 
                         the calibration and validation of the methodology. The results 
                         show an increase of areas potentially undergoing 
                         degradation/desertification, covering an area equal to 167,814.24 
                         km2 at the end of the period analyzed (around 16.7% of the study 
                         area). Approximately 23.63% of the total degraded area comprises 
                         both the Very High Degradation Trajectory and High Degradation 
                         Trajectory. The proposed methodology contributed to the 
                         determination of the degree of the degradation through the 
                         determination of Degradation Trajectories, which differentiates it 
                         from the ones proposed in other studies; however, it is emphasized 
                         that this approach must be analyzed in association with additional 
                         information, such as trends and climatic scenarios of land use and 
                         land cover, as well as retrospective analyses of the landscape, 
                         soil erosion, field recognition, socioeconomic conditions, among 
                  doi = "10.1016/j.ecolind.2020.106579",
                  url = "http://dx.doi.org/10.1016/j.ecolind.2020.106579",
                 issn = "1470-160X",
             language = "en",
           targetfile = "bezerra_analysis.pdf",
        urlaccessdate = "19 abr. 2021"