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Estimativa e mapeamento de carbono em fragmentos florestais da APA Fernão Dias (MG) por meio de dados Landsat TM e de campo

Authors: Andrade, Daniel Dias de, 1981;

Estimativa e mapeamento de carbono em fragmentos florestais da APA Fernão Dias (MG) por meio de dados Landsat TM e de campo

Abstract

Resumo: O uso de modelos de estimativa de biomassa através de dados de sensoriamento remoto pode contribuir à geração de conhecimento para a mitigação dos efeitos negativos no clima e na biodiversidade do planeta, oriundos da utilização humana dos recursos naturais. A Área de Proteção Ambiental (APA) Fernão Dias é uma Unidade de Conservação Estadual de Uso Sustentável localizada na Serra da Mantiqueira no Estado de Minas Gerais, próxima à fronteira com o Estado de São Paulo. Por meio da estimativa realizada a partir de dados de campo para a biomassa acima do solo do fragmento denominado "97", coberto por Floresta Ombrófila Madura, e de respostas espectrais detectadas pelo sensor TM do satélite Landsat 5, realizou-se a estimativa do carbono para a cobertura florestal presente no território da APA. O grau de relação entre o Índice de Vegetação ajustado ao solo (SAVI), o Índice de Vegetação pela Razão (SRI), o Índice de Vegetação Melhorado (EVI), o Índice de Vegetação da Diferença Normalizada (NDVI), o Índice de Vegetação Perpendicular (PVI) e os dados de campo foi obtido por meio de equações de regressão linear simples. Foram obtidas correlações distintas entre as variáveis espectrais (índices de vegetação) e os parâmetros biofísicos (carbono): r2 = 0,738; 0,728; 0,721; 0,670; e 0,542, respectivamente. Mapas síntese do estoque de carbono acima do solo (t/ha) foram gerados para as áreas florestadas da APA, delimitados por divisões físicas e político-administrativas. A estimativa se aproximou dos valores amostrados para a biomassa medida em campo, apresentando menor equivalência na medida em que se amplia e se diversifica a área utilizada na estimativa

Abstract: The use of biomass estimation models by means of remote sensing data may contribute to the generation of knowledge for the mitigation of negative effects on climate and biodiversity in the planet, due to the human appropriation of the natural resources. Fernão Dias Environmental Protection Area (APA) is a State Conservation Unit of Sustainable Use located at the Mantiqueira Mountains, Minas Gerais State, nearby the São Paulo State border. Aboveground biomass was estimated for the fragment denominated "97", covered by Mature Evergreen Forest. Landsat 5 imagery was used to map forest cover, so Carbon estimation could be represented for the entire Fernão Dias APA Area. The relationship between Soil Adjusted Vegetation Index (SAVI), Simple Ratio Index (SRI), Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI), Perpendicular Vegetation Index (PVI), and field data was obtained by simple linear regression equations. Distinct correlations for the spectral variables (vegetation indices) and the biophysical parameters (Carbon) were obtained: r2 = 0,738; 0,728; 0,721; 0,670; e 0,542, respectively. Synthetic maps for aboveground Carbon (t/ha) were generated for the Fernão Dias APA's forest areas, delimited by physical and political-administrative divisions. The estimations were similar to the biomass values sampled in the field, presenting smaller equivalences as the area used in the estimation is increased and diversified

Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Geociências

Orientadores: Marcos César Ferreira, Édson Luis Bolfe

Análise Ambiental e Dinâmica Territorial

Mestre em Geografia

Mestrado

Keywords

Processamento de imagens - Técnicas digitais, Image processing - Digital techniques, Biomassa, Ciências florestais, Biomass, Vegetation surveys

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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