A remote sensing-based methodology to assess the vulnerability, versatility, and vitality (3Vs) of rural towns: Bayerisch Eisenstein and Tuchenbach, Germany

Keyphrases

• Germany 100%
• Remote Sensing 100%
• Vulnerability 100%
• Rural Towns 100%
• Eisenstein 100%
• Large Cities 80%
• Resilience 60%
• Remote Sensing Data 40%
• Urban Agglomeration 40%
• Comparative Analysis 20%
• Classification Results 20%
• Machine Learning Techniques 20%
• Extracting Information 20%
• Solar Energy 20%
• High-resolution 20%
• Land Use Classification 20%
• Orthophoto 20%
• Built-up Area 20%
• Land Use Classes 20%
• Rural Areas 20%
• Bavaria 20%
• Solar Panel 20%
• Energy Sources 20%
• Statistical Data 20%
• Unique Characteristics 20%
• Physical Location 20%
• Aging Population 20%
• Depopulation 20%
• Metropolitan Regions 20%
• Support Vector Machine Algorithm 20%
• Socioeconomic 20%
• Alternative Data Sources 20%
• Geostatistics 20%
• Demography 20%
• Nuremberg 20%
• Remote Machine 20%
• Spatiotemporal Trends 20%
• Statistical Databases 20%
• Social Reality 20%

Earth and Planetary Sciences

• Germany 100%
• Remote Sensing 100%
• Regional Geography 66%
• Machine Learning 33%
• Land Use Classification 33%
• Orthophoto 33%
• Built-Up Area 33%
• Field Survey 33%
• Statistical Data 33%
• Land Use 33%
• Solar Energy 33%
• Support Vector Machine 33%

Economics, Econometrics and Finance

• Metropolitan Area 100%
• Specific Industry 100%
• Land Use 100%
• Machine Learning 50%