MONITORING OF BRAZILIAN DECIDUOUS SEASONAL FOREST BY REMOTE SENSING

Authors

DOI:

https://doi.org/10.4215/rm2020.e19022

Abstract

Among the many characteristics that the Brazilian territory possesses, one precisely excel: the mentioned country hosts the second biggest forest resource of the planet, corresponding for approximately 10% of the total amount of global forest resources. In that scenario, the Seasonally Dry Tropical Forests (SDTF) perform the second less expressive forest type in Brazil, being situated mostly in non-forested biomes, such as Savannas and Scrublands. Thus, its conservation must rely on its correct identification, which becomes difficult because the SDTF areas are generally classified as other vegetation types. Therefore, the present study aimed to perform the land cover-land use monitoring for the years of 2007 and 2016 of the continuous area North of Minas Gerais - South Piauí, with the purpose of evaluating the current situation of Brazilian SDTFs and assessing the main drivers that affect its deforestation and natural regeneration. As a result, the study verified that the significant increase in crop areas and spatial mobility of parturelands contributed decisively for the changes presented by vegetation formations. HOWEVER, such drivers played differentiated roles in losses/gains. Especially, it was concluded that the changes in which deciduous forests have undergone were explained particularly by pasture. The other types of vegetation were also impacted by this class, but with a more incisive participation of the crops.

Key-words: Mapping, Deciduous Forests, Remote Sensing, GIS.

Author Biographies

  • Andre Medeiros Rocha, Universidade de São Paulo, São Paulo(SP), Brasil

    Mestre pelo Programa de Pós-Graduação em Geografia (PPGEO/UNIMONTES, 2017). Tem experiências na realização de pesquisas utilizando técnicas de Sensoriamento Remoto e Sistemas de Informação Geográfica (SIGs), atuando principalmente nos temas: Análise Morfométrica, gerência de Banco de Dados Geográficos, Balanço de Radiação, Mapeamento de Uso e Cobertura do Solo e Análises Espaciais através dos softwares ArcGIS e ENVI. Atualmente, é Doutorando em Geografia Física pela Universidade de São Paulo (USP)

  • Marcos Esdras Leite, Universidade Estadual de Montes Claros, Montes Claros (MG), Brasil

    Doutor em Ecologia (Conservação e Manejo da Vida Silvestre) pela Universidade Federal de Minas Gerais (2004). Desde 2005, é professor da Universidade Estadual de Montes Claros (Unimontes). Tem experiência na área de Ecologia, com ênfase em Interação Animal-Planta, e trabalha principalmente com padrões de herbivoria, sucessão ecológica e conservação de florestas tropicais secas. É coordenador da Rede Matas Secas, grupo cadastrado no Diretório de Grupos de Pesquisa do CNPq. Atualmente é professor visitante na Universidade de Exeter, Inglaterra, com bolsa da CAPES. 

  • Mário Marcos do Espírito-Santo, Universidade Estadual de Montes Claros, Montes Claros (MG), Brasil

    Professor do Programa de Pós-Graduação em Geografia/ UNIMONTES e do Programa de Pós-Graduação em Desenvolvimento Social/ UNIMONTES. Graduado em Geografia/Unimontes. Doutor em Geografia pela Universidade Federal de Uberlândia - UFU. Tem experiência na área de ensino e pesquisa em Geografia, com ênfase em SIG e Sensoriamento Remoto aplicado à estudos socioambientais. Coordenador do Laboratório de Geoprocessamento/UNIMONTES. Realizou estágio técnico de doutoramento na Universidade Nova de Lisboa com bolsa da FAPEMIG. Bolsista de produtividade da FAPEMIG. Membro do CODEMA de Montes Claros/MG. Coordenador PPGEO/Unimontes

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Published

2020-10-20

Issue

Vol. 19 (2020)

Section

Artigos

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