Automatic detection of sinkhole collapses at finer resolutions using a multi-component remote sensing approach

Natural Hazards

Volumn 78, Issue 2, 2015, Pages 1021-1044

  Dou, Jie ^a   Li, Xia ^b   Yunus, Ali P ^a   Paudel, Uttam ^a   Chang, Kuan Tsung ^c   Zhu, Zhongfan ^d   Pourghasemi, Hamid Reza ^e  

^a UNIVERSITY OF TOKYO   (Japan)

^b SUN YAT SEN UNIVERSITY   (China)

^c MINGHSIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^d BEIJING NORMAL UNIVERSITY   (China)

^e SHIRAZ UNIVERSITY   (Iran)

Author keywords

Hazard mapping; Image segmentation; Object based image analysis; Sinkholes

Indexed keywords

ACCURACY ASSESSMENT; BEDROCK; CARBONATE; COLLAPSE STRUCTURE; DETECTION METHOD; GEOLOGICAL HAZARD; GEOLOGICAL MAPPING; HAZARD ASSESSMENT; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD ANALYSIS; REMOTE SENSING; SEGMENTATION; SINKHOLE;

CHINA; GUANGDONG;

EID: 84938983378     PISSN: 0921030X     EISSN: 15730840     Source Type: Journal    
DOI: 10.1007/s11069-015-1756-0     Document Type: Article

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