High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia

Science of the Total Environment

Volumn 630, Issue , 2018, Pages 367-378

  Wang, Bin ^a   Waters, Cathy ^b   Orgill, Susan ^a   Gray, Jonathan ^c   Cowie, Annette ^d   Clark, Anthony ^b   Liu, De Li ^a,e  

^a NSW DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^b NSW DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^c OFFICE OF ENVIRONMENT AND HERITAGE   (Australia)

^d NSW DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^e UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Digital soil mapping; Machine learning; Remote sensing; Seasonal fractional cover; Soil organic carbon stocks

Indexed keywords

COST EFFECTIVENESS; DECISION TREES; E-LEARNING; LITHOLOGY; MAGNESIUM; MAPPING; ORGANIC CARBON; SOILS; SUPPORT VECTOR MACHINES;

DIGITAL SOIL MAPPINGS; EASTERN AUSTRALIA; FRACTIONAL COVER; MACHINE-LEARNING; REMOTE SENSING DATA; REMOTE-SENSING; SEASONAL FRACTIONAL COVER; SEMI-ARID RANGELAND; SOIL ORGANIC CARBON; SOIL ORGANIC CARBON STOCKS;

REMOTE SENSING;

CARBON; KAOLIN; ORGANIC CARBON; POTASSIUM; RAIN; SILICON DIOXIDE; THORIUM; URANIUM;

DIGITAL MAPPING; MACHINE LEARNING; ORGANIC CARBON; RANGELAND; REMOTE SENSING; SATELLITE DATA; SEMIARID REGION; SOIL ORGANIC MATTER; SPATIAL RESOLUTION;

ACCURACY; ARTICLE; AUSTRALIA; CLIMATE; ENVIRONMENTAL MONITORING; ENVIRONMENTAL TEMPERATURE; GEOGRAPHIC ELEVATION; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; RANGELAND; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SOIL ANALYSIS; SOIL DEPTH; SUPPORT VECTOR MACHINE;

AUSTRALIA;

EID: 85042357034     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2018.02.204     Document Type: Article

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