Greenizing
By Andreas Weith - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=52745369
    We are working on this project called 'P project' which stands for 'Polar bear project'.
The purpose of the project is to save polar bears and stop global warming in general. To prevent climate change, we need to expand using regenerative energy system rather than maintain current use of fossil fuels which release large amounts of carbon dioxide and a greenhouse gas into the air.
   Source by https://m.news.zum.com/articles/54516798                                                       By Andrewglaser at English Wikipedia, CC BY-SA 3.0
  Solar panel is one of the leading regenerative energy systems. However, cutting down mountain to install it is not the best idea since tree is very important key solution to stop climate change. This is the reason we wanted to find areas where we can install solar panel without destroying mountains and increase green space. For this purpose, we collected image data from aerial photos and performed image processing with deep learning algorithm.  With this model created, we could identify specific areas to greenize. A map below shows green index areas in specific region.
   Green index areas between Meiji Jingu Stadium and Tokyo Tower in Japan
   For more description of the map, we divided green indexes into four sections. First of all, regenerative energy index represents the ratio of areas where solar panels are already installed. The index shows how much regenerative energy depolyed in a specific area. 
   Potential regenerative energy index represents the ratio of areas where facilities such as solar panels or trees can be installed. Flat roof named as 'good roof' in the image below can be a strong candidate for installing solar panels or roof garden of the areas.
   Green index represents the portion of green areas where trees or grass exists. 
And potential green index represents the ratio of areas where trees or grass can be planted. 
Greenizing Visualization in Japan
   As shown in the graph above, Chiba has the highest ratio of green index since there's lots of mountains located in the city comparing to others. This means there's not enough buildings and houses which are capable of installing solar panels or trees. Therefore, this city records the lowest rates to other indexes.  
   Also, there is one thing noticeable that the cities of Tokyo and Osaka recorded lower rates of regenerative energy index (solar panel) than Kyoto, despite of the fact that they have more locations to setup solar panels (good roof) . Therefore, we can interpret this result that there are many possibilities to greenize these cities as long as there are enough spaces to exploit where regenerative energy systems like solar panels can be installed . 
Greenizing Visualization in U.S
  According to data below, cities of New York and California show similar aspects that potential green index is about 30% and regenerative energy index is about 20%. This means that both cities have enough potential spaces to install solar panels. 

114, Taebong-ro, Seocho-gu, Seoul, Republic of Korea

서울특별시 서초구 태봉로 114 양재 R&CD 혁신허브 604호