Google Street View and Machine Learning—Useful Tools for a Street-Level Remote Survey: A Case Study in Ho Chi Minh, Vietnam and Ichikawa, Japan

Google Street View and Machine Learning—Useful Tools for a Street-Level Remote Survey: A Case Study in Ho Chi Minh, Vietnam and Ichikawa, Japan

This study takes one step further to complement the application of a method for mapping informal green spaces (IGSs) using an efficient combination of open-source data with simple tools and algorithms. IGSs are unofficially recognized by the government as vegetation spaces designed for recreation, g...

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Bibliographic Details
Main Authors: Duy Thong Ta, Katsunori Furuya
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Land
Subjects:
technological innovations
informal green space
Google Street View
machine learning
urban planning and development
ArcGIS
Online Access:https://www.mdpi.com/2073-445X/11/12/2254

Internet

https://www.mdpi.com/2073-445X/11/12/2254

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