Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland:

Ecological Applications

Volumn 27, Issue 5, 2017, Pages 1646-1656

  Wilson, Chris H ^a   Caughlin, T Trevor ^a   Rifai, Sami W ^a   Boughton, Elizabeth H ^b   Mack, Michelle C ^c   Flory, S Luke ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b MacArthur Agro Ecology Research Center   (United States)

^c NORTHERN ARIZONA UNIVERSITY   (United States)

Author keywords

enhanced vegetation index; Google Earth Engine; Landsat time series; remote sensing; soil carbon sequestration; soil organic carbon; subtropical grasslands

Indexed keywords

CARBON SEQUESTRATION; CLIMATE CHANGE; GRASSLAND; LANDSAT; REMOTE SENSING; SOFTWARE; SOIL CARBON; SOIL FERTILITY; SOIL ORGANIC MATTER; SPATIAL RESOLUTION; SUBTROPICAL REGION; TIME SERIES; VEGETATION INDEX;

CARBON;

CARBON SEQUESTRATION; CHEMISTRY; FLORIDA; GRASSLAND; PROCEDURES; REMOTE SENSING; SOIL; TIME FACTOR;

CARBON; CARBON SEQUESTRATION; FLORIDA; GRASSLAND; REMOTE SENSING TECHNOLOGY; SOIL; TIME FACTORS;

EID: 85021779062     PISSN: None     EISSN: 19395582     Source Type: Journal    
DOI: 10.1002/eap.1557     Document Type: Article

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