Uploaded on 2017-02-01 by Shintaro Miyazaki

1) Information, which is visible on the picture: 1. traffic: amount of cars moving (they are sometimes are not captured well)/ parking, trains moving at this specific time. 2. water (qualitative data), it is raining (exact amount is not visible), but it is not strongly raining. 3. daylight/ weather (also more qualitative). 4. avarage buiding height is not so high. 5. there is some kind of logics/ supply chain/ area, where things in containers are stored. 6. geology/ landscape visible area is more or less flat. 7. there are older buildings and newer buildings (left side). 8. many roofs are unused.. /empty. 2) Invisible information that can be extracted out of the visible: 1. energy efficiency of buildings (a first approach could be new vs. old building), also usages of roof tops. 2. Traffic flow from street and train track using a webcam or sensors on the street/ in train track. 3) Energy efficiency of a building is important for its sustainability concerning energy usage and waste. A neighborhood with better isolated buildings could make the area more livable. Alternativ usages of the roof top (for example for gardening or leisure or other things) might improve living and working quality of the area. Traffic flow data leads to knowledge about how much the infrastructures such as street and train track are used. This would include information about the density of usage (passenger per squaremeter) and its dynamics. When fully packed the train is for example much more efficient concerning the amount of passengers it can transport compared to a car. But maybe there are other relevant usages of cars.