Simulating spatial distribution of coastal soil carbon content using a comprehensive land surface factor system based on remote sensing

Science of the Total Environment

Volumn 628-629, Issue , 2018, Pages 384-399

  Chi, Yuan ^a,b   Shi, Honghua ^a,b   Zheng, Wei ^a   Sun, Jingkuan ^c  

^a FIRST INSTITUTE OF OCEANOGRAPHY   (China)

^b QINGDAO NATIONAL LABORATORY FOR MARINE SCIENCE AND TECHNOLOGY   (China)

^c BINZHOU UNIVERSITY   (China)

Author keywords

Back propagation neural network; Comprehensive land surface factor system; Remote sensing; Soil carbon content mapping; Spatial distribution; Yellow River Delta

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COASTAL ZONES; ECOLOGY; LEAST SQUARES APPROXIMATIONS; MAPPING; MEAN SQUARE ERROR; NEURAL NETWORKS; REGRESSION ANALYSIS; REMOTE SENSING; RIVERS; SOIL SURVEYS; SOILS; SURFACE MEASUREMENT; TORSIONAL STRESS;

10-FOLD CROSS-VALIDATION; BACK PROPAGATION NEURAL NETWORKS; LAND SURFACE; LAND-SEA INTERACTIONS; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); ROOT MEAN SQUARED ERRORS; SOIL CARBON; YELLOW RIVER DELTA;

SPATIAL DISTRIBUTION;

CARBON;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; COASTAL ZONE; COMPUTER SIMULATION; LAND SURFACE; MAPPING METHOD; REMOTE SENSING; SOIL CARBON; SPATIAL DISTRIBUTION;

AGRICULTURAL LAND; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CHINA; ESTUARY; GEOGRAPHIC DISTRIBUTION; MEASUREMENT ACCURACY; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; REMOTE SENSING; SEASHORE; SIMULATION; SOIL CHEMISTRY; SURFACE SOIL; UNCERTAINTY; VALIDATION PROCESS; VEGETATION; WETLAND;

CHINA; SHANDONG; YELLOW RIVER DELTA;

EID: 85042117984     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2018.02.052     Document Type: Article

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