Overview: Brief Overview of Remote Sensing of Land Cover. History of Land-Cover Mapping. Basic Principles: Semantic Issues in Land-Cover Analysis: Representation, Analysis, and Visualization. Overview of Land-Cover Classifications and Their Interoperability. Revisiting Land-Cover Mapping Concepts. Evaluating Land-Cover Legends Using the UN Land-Cover Classification System. Long-Term Satellite Data Records for Land-Cover Monitoring. Preprocessing: Need for Sensor Calibration.

Classification Trees and Mixed Pixel Training Data. Comparison between New Digital Image Classification Methods and Traditional Methods for Land-Cover Mapping. Land-Cover Change Detection. Supervised Classification Approaches for the Development of Land-Cover Time Series. Forest-Cover Change Detection Using Support Vector Machines. Global Land-Cover Map Validation Experiences: Toward the Characterization of Uncertainty. Role of Remote Sensing for Land-Use and Land-Cover Change Modeling. Application Examples: Operational Service Demonstration for Global Land-Cover Mapping: The GlobCover and GlobCorine Experiences for 2005 and 2009.

Continental and Regional Approaches for Improving Land-Cover Maps of Africa. Land-Cover Mapping in Tropical Asia. Land Cover and Its Change in Europe: 1990-2006. North American Land-Change Monitoring System. The Application of Medium-Resolution MERIS Satellite Data for Continental Land-Cover Mapping over South America: Results and Caveats. Mapping Land-Cover and Land-Use Changes in China. An Approach to Assess Land-Cover Trends in the Conterminous United States (1973-2000). Is Africa Losing Its Natural Vegetation? Monitoring Trajectories of Land-Cover Change Using Landsat Imagery.

Looking Ahead: The NASA Land-Cover and Land-Use Change Program: Research Agenda and Progress (2005-2011). Building Saliency, Legitimacy, and Credibility toward Operational Global and Regional Land-Cover Observations and As.