Identifying terraces in the hilly and gully regions of the Loess Plateau in China

Land Degradation and Development

Volumn 30, Issue 17, 2019, Pages 2126-2138

  Sun, Wenyi ^a,c   Zhang, Yongqiang ^b,c   Mu, Xingmin ^a   Li, Jiuyi ^b   Gao, Peng ^a   Zhao, Guangju ^a   Dang, Tianmin ^d   Chiew, Francis ^c  

^a NORTHWEST A F UNIVERSITY   (China)

^b INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^c CSIRO   (Australia)

^d YELLOW RIVER INSTITUTE OF HYDRAULIC RESEARCH   (China)

Author keywords

identification; KNN; SAM; terraces; the Loess Plateau

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); LANDFORMS; MACHINE LEARNING; NEAREST NEIGHBOR SEARCH; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SEDIMENTS;

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; AGRICULTURE PRODUCTIONS; DIGITAL ELEVATION MODEL; GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS; LOESS PLATEAU; MACHINE LEARNING METHODS; REMOTE SENSING IMAGERY; TERRACES;

IMAGE PROCESSING;

ALGORITHM; ASTER; DIGITAL ELEVATION MODEL; GULLY; HILL; IDENTIFICATION METHOD; IMAGE ANALYSIS; IMAGE RESOLUTION; LANDSAT; MACHINE LEARNING; REMOTE SENSING; TERRACE;

CHINA; LOESS PLATEAU;

EID: 85070686621     PISSN: 10853278     EISSN: 1099145X     Source Type: Journal    
DOI: 10.1002/ldr.3405     Document Type: Article

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