WE4.G2: Remote Sensing and Population Data Integration for Global Change and Disaster Risk Research II

Session Type: Oral
Time: Wednesday, July 29, 15:40 - 17:20
Location: Green 2
Session Chairs: Alex de Sherbinin, CIESIN, Columbia University and Ryuei Nishii, Kyushu University
 
WE4.G2.1: INCORPORATION OF GRIDDED DATA INTO THE ANALYSIS OF REMOTELY-SENSED IMAGES: BASIC QUANTITATIVE STRATEGY TO ANALYZE DEFOERESTATION BY POPULATION GROWTH
         Shojiro Tanaka; Hiroshima University of Economics
         Ryuei Nishii; Kyushu University
 
WE4.G2.2: UNIFIED MODELING BASED ON SVM AND SVR FOR PREDICTION OF FOREST AREA RATIO BY HUMAN POPULATION DENSITY AND RELIEF ENERGY
         Ryuei Nishii; Kyushu University
         Shojiro Tanaka; Hiroshima University of Economics
 
WE4.G2.3: DYNAMIC POPULATION EXPOSURE MODELING: APPLICATION OF DYNAPOP-X FOR STORM SURGE RELATED COASTAL FLOOD CRISIS MANAGEMENT
         Christoph Aubrecht; AIT Austrian Institute of Technology
         Klaus Steinnocher; AIT Austrian Institute of Technology
         Mario K√∂stl; AIT Austrian Institute of Technology
         Marianne Grisel; ARTELIA Eau & Environnement
 
WE4.G2.4: UNDERSTANDING THE LINK BETWEEN POPULATION DYNAMICS AND BIODIVERSITY CONSERVATION THROUGH REMOTE SENSING AND GRIDDED POPULATION DATA INTEGRATION
         Alex Zvoleff; Conservation International
         Jorge Ahumada; Conservation International
 
WE4.G2.5: A SPATIAL ANALYSIS OF CLIMATE-RELATED CHILD MALNUTRITION IN THE LAKE VICTORIA BASIN
         Lopez-Carr David; University of California, Santa Barbara
         Mwenda Kevin; University of California, Santa Barbara
         Narcisa Pricope; University of North Carolina, Wilmington
         Phaedon Kyriakidis; University of North Carolina, Wilmington
         Marta Jankowska; University of California, San Diego
         John Weeks; San Diego State University
         Chris Funk; U.S. Geological Survey
         Gregory Husak; U.S. Geological Survey
         Joel Michaelsen; University of California, Santa Barbara