Strategies for Open and Permanent Access to Scientific Information in Latin America: Focus on Health and Environmental Information for Sustainable Development
Environmental & Geospatial Data for modelling processes in the Amazon Region. Challenges, barriers and goals over studies of Biodiversity and Land Use and Land Cover Change at GEOMA Project.
Silvana Amaral Kampel, Instituto Nacional de Pesquisas Espaciais - INPE, Coordenação-Geral de Observação da Terra - OBT, Divisão de Processamento de Imagens - DPI
The Environmental modeling of the Amazonian -GEOMA is a cooperative network of researches whose objective is to develop models to evaluate and foresee sustainability scenarios for the Amazonian area. It was created to overcome the dimension of the environmental problems in the Amazon and the spread out of the scientific knowledge among different research institutes.
This lecture will present the challenges, barriers and goals facing by the GEOMA research team in the modeling processes of the biodiversity and processes of forest conversion associated to the human processes of land occupation. As examples of GEOMA first results we can present an initial database at regional scale, including high-resolution remote sensing imagery, and some valuable models and prospective scenarios of deforestation. However, to understand the biodiversity patterns and the human processes, in order to contribute to the sustainable planning for the region, it is necessary to increase the environmental and geospatial data available. Fieldwork campaigns and data exchange efforts are essential for the ability in providing reliable and consistent information for the scientific community and the police makers.
- The Global Alliance for Enhancing Access to and Application of Scientific Data in Developing Countries, of the United Nations Global Alliance for ICT and Development, UN G@ID
- U.S. National Committee for CODATA
- Brazilian National Committee for CODATA.
- CODATA Task Group on Preservation of and Access to Scientific and Technical Data in Developing Countries