Desenvolvimento de uma metodologia para a estimativa de biomassa e de carbono em sistemas agroflorestais por meio de imagens orbitais / Development of a methodology to the estimation of biomass and of carbon in agroforestry systems for middle of orbits




Remarks indicate that naturals systems of the Earth are being affected for transformation about the ability of diverse region. Within the causes these changes, detach the emission of CO2 (Carbon Dioxide) way alteration in land use and land cover. The Amazonian region, in function of the occupation trajectory has received attention of the scientific community all that its influence in flux of global carbon. On the other hand, this region, compound for a heterogeneity mosaic of use of the earth, is crescent the carriage of agroforestry system. These systems make part of important strategy of land use, returned the quality of live, commerce and the environmental services like the elevation of the biodiversity and fixing of carbon. The agroforestry system cam be acknowledged of Clean Development Mechanism (CDM) in context of the Protocol of Kyoto, since that protected scientifically for methodologies of valuation of the carbon storage. The works focus these methodologies are abridged once exist large difficulty technique - scientific into obtain and analyze intrinsic characteristics a each agroforestry system. This perspective, this study objective generates models of estimate of storage carbon of biomass of agroforestry system of the region from Tome-Agu, PA, through of the correlation between variable spectral and biophysics parameters. Utilized theoretical chest in the School Spatial Geography; instruments geotechnologies like geographic information system and image of satellites; agroforestry inventories and analyses florists and structural. Regarding the variability perceived in agroforestry system, these were divided by four classes (SAF 1, SAF 2, SAF 3 and SAF 4) in order that esteem the biomass (106,51Mg.ha-1) and the storage carbon (47,93MgC.ha-1) medium and individually. The agroforestry systems studied demonstrate important accumulators of carbon, powering contributes in process of sequestration of CO2. The correlations obtain between variable spectral (vegetation index) and biophysics characteristics (carbon) through of linear regression were in its great majority significant (r2= 0,54 the r2=0,84), indicating thus, the capacity in the prediction of the storage carbon. Within the best models, detached that acquired for: Normalized Difference Vegetation Index (NDVI), Ratio Vegetation Index (RVI), Transformed Soil Adjusted Vegetation Index 1 (TSAVI 1), Simple Ratio (RS 5:3), Normalized Difference (ND 5:7), Transformed Soil Adjusted Vegetation Index 2 (TSAVI 2) and Perpendicular Vegetation Index 3 (PVI 3). The theoretical chest in origin geographic matrix provided a comprehension of the results, facilitating a synthesis of the regional analysis for group of index or for agroforestry class generating maps of the carbon of the region, which will be allowed to subsidize the rural sustainable development


geographic information systems sustainable development tome-açu (pa) desenvolvimento sustentavel sistemas de informação geografica

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