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.
This fact sheet explores the research aimed at preserving the ecosystems of high-elevation wetlands in Bolivia amid the effects of climate change.
Researchers worked with key actors in Bolivia to build a framework to help policymakers integrate water and forest restoration planning.
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.
This paper explores the results of the Mexican Environmental Flows Norm, based on environmental flow assessments conducted from 2012 to 2015.