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		<doi>10.1016/j.scitotenv.2021.146900</doi>
		<issn>0048-9697</issn>
		<citationkey>VieiraTBPOSFT:2021:LaDeMa</citationkey>
		<title>Land degradation mapping in the MATOPIBA region (Brazil) using remote sensing data and decision-tree analysis</title>
		<year>2021</year>
		<month>Aug.</month>
		<typeofwork>journal article</typeofwork>
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		<author>Vieira, Rita Márcia da Silva Pinto,</author>
		<author>Tomasella, Javier,</author>
		<author>Barbosa, Alexandre Augusto,</author>
		<author>Polizel, Silvia Palotti,</author>
		<author>Ometto, Jean Pierre Henry Balbaud,</author>
		<author>Santos, Fabrícia Cristina,</author>
		<author>Ferreira, Yara da Cruz,</author>
		<author>Toledo, Peter Mann de,</author>
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		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>rita.marcia@inpe.br</electronicmailaddress>
		<electronicmailaddress>javier.tomasella@cemaden.gov.br</electronicmailaddress>
		<electronicmailaddress>alexandre.barbosa@inpe.br</electronicmailaddress>
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		<electronicmailaddress>jean.ometto@inpe.br</electronicmailaddress>
		<electronicmailaddress>fabricia.santos@inpe.br</electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>peter.toledo@inpe.br</electronicmailaddress>
		<journal>Science of the Total Environment</journal>
		<volume>782</volume>
		<pages>e146900</pages>
		<secondarymark>A1_ZOOTECNIA_/_RECURSOS_PESQUEIROS A1_SAÚDE_COLETIVA A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_ENFERMAGEM A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_CIÊNCIA_DE_ALIMENTOS A1_BIODIVERSIDADE A2_QUÍMICA A2_ODONTOLOGIA A2_MEDICINA_III A2_MEDICINA_II A2_MEDICINA_I A2_MATERIAIS A2_FARMÁCIA A2_ENGENHARIAS_II A2_CIÊNCIAS_BIOLÓGICAS_I A2_BIOTECNOLOGIA B1_CIÊNCIAS_BIOLÓGICAS_II B2_ASTRONOMIA_/_FÍSICA</secondarymark>
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		<abstract>The expansion of agricultural activities in Brazil resulted in a loss of approximately 50% of the native vegetation of the Cerrado biome, mainly to the north of the biome in a region known as MATOPIBA. Besides contributing to accelerate climate change, the removal of native vegetation is associated with increase soil degradation. In this study, we used the decision tree method to predict degradation using as indicators Normalized Difference Vegetation Index (NDVI) derived indices over the period 19852018. Results showed that approximately 4677 km2 (0.63%) of MATOPIBA region is under strong signs of degradation, mostly on pasture and grasslands areas, commonly used for grazing. Although the percentage of degraded areas is relatively small, the mapping indicated that the majority of degradation patches are concentrated not only in areas of low resilience, e.g., areas dominated by weakly structured sandy soils, but also where highly stable latosols dominate. More importantly, these areas were frequently affected by fire over the study period. This finding suggests that the combination of unsustainable traditional land management practices, such as fire, the replacement of forest by pasture, and anthropic activities such as inadequate road planning, are the main factor that trigger degradation processes in this Brazilian region. The study results are important for decision makers for defining investment priorities for conservation and for the recovery of degraded areas.</abstract>
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