Table 3.
Domain | Item | Household survey | Ground survey for features of an area | Earth observation | Comment |
Built environment | Durability of construction materials | ++++ | +++ | ++ | Spectral analysis can be used to get some idea of roof materials (especially with ultra-high resolution) |
Layout of lanes and orientation of structures—degree of entropy | ++ | +++ | ++++ | Earth observation images can be used to quantify this characteristic, for example, using advanced image feature extraction and classification methods such as machine learning | |
Density, for example, people sleeping in same room/people per square km | ++++ | + | + | Clearly, this must be a proxy measurement unless based on household survey | |
Services | Water | ++++ | +++ (hard to quantify) |
− | |
Sanitation | ++++ | +++ | + | Open sewers discernible on very-high-resolution images | |
Power | ++++ | +++ | + | Use of night-time light images allow to detect availability of street lighting but the resolution is limited25 | |
Solid waste management | +++ | +++ | ++++ | ||
Health and education facilities | ++++ | +++ | − | ||
Ecology | Flood plain | − | ++ | ++++ | |
Probability of subsidence | − | ++ | ++++ | Amount of subsidence can be measured accurately from space with radar-based interferometry | |
Green and blue space | + | ++ | ++++ | ||
Socioeconomic (social exclusion) | Security of tenure/title | +++ | + | − | |
Level of poverty | ++++ | ++ | (++) | The extent to which earth observation images may be a proxy is unknown28 | |
Crime and safety | ++++ | − | − | ||
Social capital | ++++ | + | − |