Urban flood mapping based on unmanned aerial vehicle remote sensing and random forest classifier-A case of yuyao, China

Water (Switzerland)

Volumn 7, Issue 4, 2015, Pages 1437-1455

  Feng, Quanlong ^a   Liu, Jiantao ^a   Gong, Jianhua ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Flood mapping; Random forest; Texture analysis; UAV; Urban landscape

Indexed keywords

COMPLEX NETWORKS; DECISION TREES; FLOODS; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; REMOTE SENSING; SPACE OPTICS; UNMANNED AERIAL VEHICLES (UAV);

CLASSIFICATION ACCURACY; FLOOD MAPPING; GRAY LEVEL CO-OCCURRENCE MATRIX; RANDOM FOREST CLASSIFIER; RANDOM FORESTS; REMOTE SENSING APPLICATIONS; TEXTURE ANALYSIS; URBAN LANDSCAPE;

MAPPING;

ACCURACY ASSESSMENT; FLOOD FREQUENCY; IMAGE CLASSIFICATION; MAPPING METHOD; MATRIX; REMOTE SENSING; UNMANNED VEHICLE; URBAN REGION;

CHINA;

EID: 84928733872     PISSN: None     EISSN: 20734441     Source Type: Journal    
DOI: 10.3390/w7041437     Document Type: Article

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