Determining socioeconomic drivers of urban forest fragmentation with historical remote sensing images

Landscape and Urban Planning

Volumn 117, Issue , 2013, Pages 57-65

  Gong, Chongfeng ^a,b   Yu, Shixiao ^a   Joesting, Heather ^b   Chen, Jiquan ^c,d  

^a SUN YAT SEN UNIVERSITY   (China)

^b UNIVERSITY OF SOUTHERN MISSISSIPPI   (United States)

^c NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^d UNIVERSITY OF TOLEDO   (United States)

Author keywords

Coupled human and natural ecosystem; Human related factors; Landsat; Landscape metrics; Shenzhen; Urban forest fragmentation

Indexed keywords

AGRICULTURAL ROBOTS; ECOSYSTEMS; LAND USE; REGRESSION ANALYSIS; REMOTE SENSING;

LANDSAT; LANDSCAPE METRICS; NATURAL ECOSYSTEM; RELATED FACTORS; SHENZHEN; URBAN FORESTS;

FORESTRY;

HABITAT FRAGMENTATION; LANDSAT; LANDSCAPE; NUMERICAL MODEL; REMOTE SENSING; SATELLITE IMAGERY; SOCIOECONOMIC STATUS; URBAN FORESTRY; URBAN PLANNING; URBANIZATION;

CHINA; ECOSYSTEMS; FORESTRY; IMAGE ANALYSIS; LAND USE; REGRESSION ANALYSIS;

CHINA; GUANGDONG; SHENZHEN;

EID: 84879707971     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2013.04.009     Document Type: Article

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