danbjoseph
commented
2 weeks ago We are interested in seeing how this project can be applied in DC; however, our initial stakeholder/user is the Indonesian Red Cross and we want a process that is widely adaptable to different cities around the world. Rather than incorporating a dataset that might not be commonly available/applicable, I would prefer something like an optional method to incorporate a feature set, which could be something such as green roofs. Perhaps a method to take an input feature collection (polygons or points defining green roofs, parking lots, etc.) and a type from a list that determines the weighting value as part of a final analysis step (e.g. green roofs would improve the extreme heat resilience score and parking lots would decrease it). Expanding to accept more types could just require a type name and a weighting value be added to the code.
DC DOEE takes account of all green roofs and maps them out through their stormwater database. With over 2 million square feet of green roof built, it should help supplement the images and data gathered from Mapillary. This will help mitigate the heat island effect that occurs in urban environments. Is there a way for us to add this to our analysis and scoring for each area?
https://www.gbig.org/collections/14619 https://dcgis.maps.arcgis.com/apps/webappviewer/index.html?id=fb8b776232c04009a684074b2d14b6ef