A wetlandscape can comprise large regions with different wetland bodies connected by groundwater or surface flows and, in turn, include more ecosystems, land covers, and communities existing in the landscape.

The project develops a new methodology based on current and future space missions to track hidden changes in wetland water level, extent, storage, and connectivity, and untangle the links between the human and climate drivers of change.

Food and Water are fundamental human rights and are constantly under threat. Worldwide, and specially in developing countries such as Bolivia, Water and Soil management is a strategic area for environmentally sustainable development of cities and peri-urban areas.

The DeepWetland project aims to develop a machine learning (ML) platform to monitor water extent changes in wetlands by integrating multiple data sources from satellite images, radars, and other space sensors.

Water and soils are among the most important natural resources, without action, the pressure on these resources is likely to increase as a result of growing population, evolving food demand and the effects of a changing climate.

The flow of water in river and stream networks is dramatically affected by human activities, with important deleterious implications for coastal ecosystems.

Wetlands are ecosystems that provide multiple ecosystem services and promote sustainable development. They protect coasts, support biodiversity, regulate groundwater and soil moisture, mitigate floods and sequester carbon.