The drowned and the saved: shipwrecks and the 'cursus' of Latin love elegy

Throughout the corpus of Latin love elegy, the imaginary tombs envisaged by the elegists for their own personae and for other inhabitants of their poetic world display a striking tendency to take on the characteristic attributes and personalities of those interred within. The final resting-place of Propertius, for instance, that self-proclaimed acolyte of Callimachean miniaturism and exclusivity, is to be sequestered from the degrading attentions of the passing populace (Prop. 3.16.25–30) and crowned with the poet's laurel (2.13.33–4). What remains of his meagre form will rest in a ‘tiny little urn’ (paruula testa, 2.13.32) beneath a monument declaring the lover's slavery to a single passion (2.13.35–6), and the grave is to be attended, or so he hopes, by the object of that passion herself (3.16.23–4), or occasionally (though he is not so confident of this) by his patron Maecenas (2.1.71–8). Likewise the memorial designed by Ovid for Corinna's pet parrot - an imitatrix ales endowed with the most distinctive foibles of the elegiac tradition - in Amores 2.6, comprising a burial mound pro corpore magnus (2.6.59) topped with a tombstone described as exiguus (‘tiny’, 2.6.60; cf. Prop. 2.1.72, 2.13.33), exhibits an elegiac emphasis worthy of the parrot's human counterparts among Ovid's poetic predecessors.

A land cover map of Latin America and the Caribbean in the framework of the SERENA project

Land cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling

Global burned-land estimation in Latin America using MODIS composite data

This paper presents results of the AQL2004 project, which has been develope within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLatif). The project intended to obtain monthly burned-land maps of the entire region, from Mexico to Patagonia, using MODIS (moderate-resolution imaging spectroradiometer) reflectance data. The project has been organized in three different phases: acquisition and preprocessing of satellite data; discrimination of burned pixels; and validation of results. In the first phase, input data consisting of 32-day composites of MODIS 500-m reflectance data generated by the Global Land Cover Facility (GLCF) of the University of Maryland (College Park, Maryland, U.S.A.) were collected and processed. The discrimination of burned areas was addressed in two steps: searching for "burned core" pixels using postfire spectral indices and multitemporal change detection and mapping of burned scars using contextual techniques. The validation phase was based on visual analysis of Landsat and CBERS (China-Brazil Earth Resources Satellite) images. Validation of the burned-land category showed an agreement ranging from 30% to 60%, depending on the ecosystem and vegetation species present. The total burned area for the entire year was estimated to be 153 215 km2. The most affected countries in relation to their territory were Cuba, Colombia, Bolivia, and Venezuela. Burned areas were found in most land covers; herbaceous vegetation (savannas and grasslands) presented the highest proportions of burned area, while perennial forest had the lowest proportions. The importance of croplands in the total burned area should be taken with reserve, since this cover presented the highest commission errors. The importance of generating systematic products of burned land areas for different ecological processes is emphasized.