Spatial analytics for resource management

SEI researchers use geographic information systems (GIS) and remote sensing tools to study and develop solutions for a broad range of water and natural resource management issues. We apply spatial techniques and visualization tools to analyze and communicate changes in the natural environment and share information about the risks climate change poses to water and biodiversity.

With the rise in the quality and quantity of spatial data readily available, the importance of GIS and geodata for environmental sciences and resource management is becoming increasingly apparent. SEI’s spatial analytics work covers not only data extraction, processing and geostatistics, but also the development of mapping and visualization tools. We focus on understanding spatial and temporal changes in natural resources caused by climate change. We also aim to share knowledge and support decision-making in a variety of contexts. Applications range from providing data input for basin modelling studies worldwide to forest fire mapping in the Amazon rainforest and sustainable wetlands management in North and South America.

Spatial data analysis contributes to SEI’s priority of exploring sustainable resource use and resilient ecosystems, as well as to the holistic water management approach at the SEI US Program on Water for Ecosystems and Livelihoods.

Panoramic aerial view of Condoriri Peak and lake in Cordillera Real, Andes, Bolivia

Hydro-ecological monitoring of high-elevation wetlands in the Katari watershed, Bolivia

This fact sheet explores the research aimed at preserving the ecosystems of high-elevation wetlands in Bolivia amid the effects of climate change.

The Chiquitania fires: the role of water resources in forest restoration plans

Researchers worked with key actors in Bolivia to build a framework to help policymakers integrate water and forest restoration planning.

SEI briefs
Water
23 November 2020
Bolivia

GMET in Bolivia: building gridded climate datasets for water resource studies

SEI researchers used the Gridded Meteorological Ensemble Tool for a water balance study in Bolivia, marking the first time the tool was applied outside the US.