Una base de datos geográfica sobre recursos forestales: el inventario forestal de México

Source: OAI


In the year 2000, the Mexican Secretariat of the Environment (SEMARNAP) put the Institute of Geography of the National University of Mexico (UNAM) in charge of carrying out the first step of the National Forest Inventory of Mexico. The main objective of this study was the wall-to-wall mapping of land use/cover, which in turn can be used to support upon land use planning policies. For this, a classification scheme, compatible with previous systems of classification of the vegetation and which takes into account the limitations of remote sensing data analysis, was elaborated. More than 120 Landsat ETM + images were analysed in order to modify and update a previous land use/cover database. In this paper, the methodology followed, the mean results and products and some applications are described. Pages: 2799 - 2805

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Available from: Jean François Mas
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    ABSTRACT: Land use-cover changes (LUCC) such as deforestation, have resulted as global warming and a reduction of environmental services, with large negative consequences for mankind. Effects based on statistics alone have not been sufficient enough to detect, stop and eventually revert negative LUCC processes that are strongly related to biodiversity loss. It is, therefore, of prime concern to assess and depict cartographically, major LUCC processes simultaneously. Mexico harbors a large pool of biodiversity, mostly restricted to a few locations among which, The State of Oaxaca plays a major role. In this state, nevertheless, drastic negative LUCC processes are taking place. Land cover types, mapped in previous surveys, overlaid on recent Landsat imagery and 300 ground truth sites, were used to detect current LUCC. Rates of conversion of the most important LUCC processes were computed and mapped simultaneously. Oaxaca has lost over half a million hectares of forested areas during the last 20 years. The core results may contribute to the understanding of how LUCC and GIS methods can provide better and more targeted information that may help to improve conservation policies and land use planning strategies.
    Full-text · Article · Oct 2003 · Global Environmental Change