Sustainability Science, Remote Sensing, Environmental Change, Landscape Ecology, Land Change Science, Spatio-Temporal Modeling, Adaptation and Mitigation, Social-Ecological Systems.

Forest Ecosystems, Decision Support Systems, Land-use Changes, Climate Change, R Programming, Image Processing, Open-source Software.

Research Interests Political ecology of farmland acquisition and expansion in tropical regions and its effects on the landscape. Integration of methods and frameworks from social and economic sciences, with land change and sustainability sciences in a context of global environmental change and capitalistic accumulation. Use of GIS and remote sensing to map and monitor land cover and land use change.

Matt is a second year Ph.D. student in Temple's geography department. His background is in the environmental sciences, specifically in the field of hydrogeology. He aspires to apply this knowledge to building better environmental conservation policy using techniques like remote sensing.

My research focuses on urban processes and its relation to the environment. I am interested in urban sustainability and in the use of qualitative and quantitative methodologies to asses sustainable urban planning. My current project is about measuring sustainability in Mexico City Metropolitan Area using Remote Sensing Analysis and GIS. I have a Ph.D. in Urban Planning from the National Autonomous University of Mexico (UNAM). I am currently doing a Postdoc at Temple University in the Department of Geography and Urban Studies.

Leonardo’s research interest concerns the integration of geospatial data as a tool for informing policy initiatives which reflect the integrity of both people and places. His primary work involves preserving ecosystems, equitable land use development in urban and regional planning, and the monitoring of state and local policy within the United States.

Transitioning from a successful career in Information Technology, Claude’s research interests lie in the intersection of open source technology, geospatial analysis, and cartographic design. Freely available tools make it possible to automate consistent, repeatable pipelines to analyze large volumes of data, and create appealing visualizations. Issues such as sustainability, urbanism, and poverty are very important to him.

My main interests are focused on the implementation of Machine Learning and Bayesian modeling in topics related to the interaction between human activities, environment and health-related disparities.