Technical Program

Paper Detail

Paper:WE4.G2.2
Session:Remote Sensing and Population Data Integration for Global Change and Disaster Risk Research II
Time:Wednesday, July 29, 16:00 - 16:20
Presentation: Oral
Topic: Invited Sessions: Remote Sensing and Population Data Integration for Global Change and Disaster Risk Research
Title: UNIFIED MODELING BASED ON SVM AND SVR FOR PREDICTION OF FOREST AREA RATIO BY HUMAN POPULATION DENSITY AND RELIEF ENERGY
Authors: Ryuei Nishii; Kyushu University 
 Shojiro Tanaka; Hiroshima University of Economics