10 research outputs found

    A MULTIPLE MODEL APPROACH FOR FUTURE POTENTIAL DISTRIBUTION OF HLB: SOUTH AMERICA CASE STUDY

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    The objective of this work was to estimate the potential geographical distribution of HLB in South America, under historical climate records and future climate change scenarios, based on climatic conditions at the sites where HLB has been established in South America. Different spatial modeling algorithms were used. Climate change estimates of the Fifth IPCC Assessment Report, by the 2050s and 2070s, were considered. Results of assessed models differed significantly in the estimation of areas with greater climatic risk for the establishment of HLB in South America. According to the estimates of the fifth IPCC report, the effects of climate change would determine that in future, high-risk areas for HLB establishment would be displaced towards the southwest of the areas considered riskier nowadays. Even individual models do not present a clear pattern for HLB establishment and distribution, the integration of the results generated by different algorithms in a consensus model, can provide additional information for phytosanitary decision making

    Automated mapping of burned areas in semi-arid ecosystems using modis time-series imagery

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    Understanding spatial and temporal patterns of burned areas at regional scales, provides a long-term perspective of fire processes and its effects on ecosystems and vegetation recovery patterns, and it is a key factor to design prevention and post-fire restoration plans and strategies. Standard satellite burned area and active fire products derived from the 500-m MODIS and SPOT are avail - able to this end. However, prior research caution on the use of these global-scale products for regional and sub-regional applica - tions. Consequently, we propose a novel algorithm for automated identification and mapping of burned areas at regional scale in semi-arid shrublands. The algorithm uses a set of the Normalized Burned Ratio Index products derived from MODIS time series; using a two-phased cycle, it firstly detects potentially burned pixels while keeping a low commission error (false detection of burned areas), and subsequently labels them as seed patches. Region growing image segmentation algorithms are applied to the seed patches in the second-phase, to define the perimeter of fire affected areas while decreasing omission errors (missing real burned areas). Independently-derived Landsat ETM+ burned-area reference data was used for validation purposes. The correlation between the size of burnt areas detected by the global fire products and independently-derived Landsat reference data ranged from R2 = 0.01 - 0.28, while our algorithm performed showed a stronger correlation coefficient (R2 = 0.96). Our findings confirm prior research calling for caution when using the global fire products locally or regionally

    A new methodology for systematic mapping of land covers in Latin America and Caribbean [Propuesta metodológica para la cartografía periódica de la cobertura del suelo en latinoamérica y el caribe: Estado de situación y avances]

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    This work was developed in the framework of the Latin American Network of Monitoring and Study of Natural Resources (SERENA) in response to the need for accurate and reliable information on landcover, with a medium spatial resolution in the region of Latin America and the Caribbean (LAC). This article describes the methodology and presents the results obtained for the year 2008
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