This application shows the outputs of the Brazilian Integrated Model of Land-surface Processes (INLAND), which is in development at the Centre for Earth System Sciences (CCST) of INPE in Brazil.
INLAND is in development at the Center for Earth System Sciences (CCST) of the Brazilian Institute for Space Research (INPE) (http://www.ccst.inpe.br/inland), as part of a broad effort in Earth System modeling in Brazil, with funding and institutional support from CCST/INPE, Brazilian National Council for Scientific and Technological Development (CNPq), Rede Clima, CNPq/PIBIC Program at INPE, and European Commission’s FP7 projects COMBINE and AMAZALERT.
The model builds on previous versions of the Integrated Biosphere Simulator (IBIS) (Foley et al. 1996, Kucharik et al. 2000), and has the ability to simulate land-surface processes such as vegetation dynamics and terrestrial carbon cycle, based on dominant climate and soil properties. The model offers the possibility of performing global and regional simulations from common input datasets, such as precipitation, temperature and soil texture.
INLAND development aims at global applications with emphasis on enhanced performance for ecosystems in South America and Brazil. To this end, several research activities are under way to provide knowledge for new model implementations to represent relevant processes in the region, such as agriculture and disturbs from deforestation and fire. Future improved versions of INLAND are planned for evaluations of the impacts of climate and land-use change on ecosystems in Brazil, help planning on future adaptation strategies for the ecosystem in the region.
This application was produced with support from the UK Space Agency as part of a collaborative project with Ecometrica under the International Partnerships Space Programme (IPSP). The project aimed to advance the application of EO in forests in Mexico and Brazil.
The application is managed by INPE on the INPE EO Lab. The EO Lab is a geospatial content sharing platform which enables businesses, governments and research institutes to develop and manage their own spatial applications.