Data: Big, Little and Everything In Between

A framework for managing, visualizing, and sharing land-change datasets

Land-change simulation models such as the Land-use and Carbon Scenario Simulator (LUCAS), allow researchers to simulate land-use/land-change over multiple spatial and temporal domains, model iterations, and land-cover states and transitions. These models can also track the impacts of alternative management and disturbance scenarios on ecosystem carbon storage and flux (transfer of carbon), and other variables such as water-demand.

Experience level: 

Understanding Past, Present, and Future Land Change in the United States using Continuous Change Detection and Classification

Changes in land use/land cover (LULC) are a first order driver of global environmental change. The benefits of accurate contemporary LULC change rates are far reaching. LULC changes represent both causes and effects in complex change processes, and are essential for projecting future changes under specific scenarios. New research from the USGS Land Cover Trends Project utilizes annual sets of land change maps produced by the Land Change Monitoring, Assessment, and Projection (LCMAP) Project.

Experience level: 

Our Sponsors

For information about becoming a sponsor, please visit the LocationCon 2017 sponsor prospectus page.