I want to analyse the access of urban population to green space. In kathmandu most of the house have their compound and a small garden. Are these counted in settlements or green space? Do we have any process where we can separate public green space and private through satellite imageries?
Thank you
You will need to identify some features from the ground that make a difference between private and public areas. For instance, is the size similar for all the private green areas? And, most importantly, are public green areas larger than private green areas? If so, you could use machine learning to discriminate between them. Also, there should be other differential physical elements, but will depend on the particularities of that city. Alexander Prishchepov
Tzu-Hsin Karen Chen
Xaquín S. Perez-Sindin Thanks for your reply. Public green spaces are larger than private areas. And also usually private space are attached to the houses. Is it possible to differentiate during segmentation using neighbourhood pixels?
I think so, but you will have to talk to an expert in deep learning techniques rooted in artificial intelligence so you can classify pixels automatically with an algorithm. Article Deep learning in remote sensing applications: A meta-analysi...
It needs high resolution satellite imagery to separate private and public space. The interpretation key to separate private and public space are: the scattered greenery represent the private green space and comparatively bigger size of greenery represent public space.
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