Green streets − Quantifying and mapping urban trees with street-level imagery and computer vision

Landscape and Urban Planning

Volumn 165, Issue , 2017, Pages 93-101

  Seiferling, Ian ^a,b   Naik, Nikhil ^c   Ratti, Carlo ^a   Proulx, Raphäel ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

^c MIT MEDIA LAB   (United States)

Author keywords

Computer vision; Greenspace; Streetscapes; Tree cover; Urban trees

Indexed keywords

ANTENNAS; FORESTRY; GREEN COMPUTING; REMOTE SENSING; TREES (MATHEMATICS);

COMPUTER VISION ALGORITHMS; DEGREE OF PRECISION; GREENSPACE; HIGH RESOLUTION REMOTE SENSING; IMAGE REPRESENTATIONS; STREETSCAPES; TREE COVER; URBAN TREES;

COMPUTER VISION;

COMPUTER VISION; FIELD SURVEY; GREENSPACE; IMAGE ANALYSIS; LIDAR; REMOTE SENSING; RESOLUTION; SOFTWARE; SPATIAL RESOLUTION; TREE; URBAN AREA; URBAN REGION;

EID: 85019590766     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2017.05.010     Document Type: Article

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