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Urban Remote Sensing Using Ground‐Based Street View Images
With only 2% of world landmass, cities are home to more than 50% of the world population. Studying how to make cities more livable and sustainable is of great importance to all humanities. As a rapid and efficient way to monitor Earth's surface, remote sensing has been widely used in urban studies. Traditionally, remote sensing is narrowly defined as a process of using sensors from overhead platforms to capture and record the electromagnetic signals from the ground surface. However, with the development of new technologies, more and more sensors carried by different platforms become available for collecting ground surface information. Therefore, the field of remote sensing needs to be broadened, because the sensing does not necessarily have to be from overhead platforms. This study introduced one of the recently developed urban remote sensing methods using ground‐based street‐level images. This study further reviewed the recently developed methods, algorithms, and applications using ground‐based street view images for different applications. Several research projects based on the street‐level images were introduced, which were related to street greenery mapping, urban form analysis, and urban thermal environment modeling. Finally, this chapter gave a discussion and a vision for future research in ground‐based urban remote sensing .
Urban Remote Sensing Using Ground‐Based Street View Images
With only 2% of world landmass, cities are home to more than 50% of the world population. Studying how to make cities more livable and sustainable is of great importance to all humanities. As a rapid and efficient way to monitor Earth's surface, remote sensing has been widely used in urban studies. Traditionally, remote sensing is narrowly defined as a process of using sensors from overhead platforms to capture and record the electromagnetic signals from the ground surface. However, with the development of new technologies, more and more sensors carried by different platforms become available for collecting ground surface information. Therefore, the field of remote sensing needs to be broadened, because the sensing does not necessarily have to be from overhead platforms. This study introduced one of the recently developed urban remote sensing methods using ground‐based street‐level images. This study further reviewed the recently developed methods, algorithms, and applications using ground‐based street view images for different applications. Several research projects based on the street‐level images were introduced, which were related to street greenery mapping, urban form analysis, and urban thermal environment modeling. Finally, this chapter gave a discussion and a vision for future research in ground‐based urban remote sensing .
Urban Remote Sensing Using Ground‐Based Street View Images
Yang, Xiaojun (editor) / Li, Xiaojiang (author)
Urban Remote Sensing ; 91-113
2021-09-30
23 pages
Article/Chapter (Book)
Electronic Resource
English
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