Cloud Computing and Remote sensing to study Climate change impacts on the Brazilian dry forest biodiversity. April 2015

Abstract: Nowadays we have been witnessing major losses in ecosystem services, caused by human activities. Those actions represent a serious threat to sustainable livelihoods. The natural sciences have sought ecosystems monitoring, especially by investigating the effects of climate change on biodiversity. However, the variety of environmental data applications require huge spatial scales that cannot be collected only trough field-based methods. Remote sensing techniques and data is suitable to those needs and could helping in land use/land cover changes detection in different scales (from local to continental landscapes). Thus, this article presents an intercontinental initiative: the European Union Brazil CloudConnect  project (EUBrazilCC). The main goal is to provide a cloud infrastructure to use tools for multi-temporal analysis and trend analysis of huge remote sensing databases to understand the main current drivers of land use changes: human activities and climate changes. SEBAL (Surface Energy Balance Algorithm) algorithm has been proccesed for a long time series (more than 30 years of satellite images) covering the whole Brazilian semi-arid area. Additionaly, web services for visualization, analysis and availability for decision makers and researchers will be used. It has been expected a massive use of those web gateway for end users, policy decision makers, researchers which could be a great contributing to the environmental sciences development.

Event: XVII Brazilian Symposium on Remote Sensing (XVII SBSR):

Date: April 25 - 29, 2015

Authors: John Elton de Brito Leite Cunha; Iana Alexandra Alves Rufino; Lucila Karla Felix Lima de Brito; Silvio Severino de Sousa Júnior; Augusto José da Silva Rodrigues