Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability

Geoderma

Volumn 285, Issue , 2017, Pages 94-109

  Maynard, Jonathan J ^a   Levi, Matthew R ^a  

^a NEW MEXICO STATE UNIVERSITY   (United States)

Author keywords

Climatic variability; Digital soil mapping; Hyper temporal; Landsat; Machine learning; Remote sensing

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; LEARNING SYSTEMS; MAPPING; REMOTE SENSING; SOIL SURVEYS; SUPPORT VECTOR MACHINES; SURFACE MEASUREMENT; VEGETATION;

CLASSIFICATION ACCURACY; CLIMATIC VARIABILITY; DIGITAL SOIL MAPPINGS; HYPER-TEMPORAL; LANDSAT; NORMALIZED DIFFERENCE VEGETATION INDEX; REMOTELY SENSED IMAGERY; SOUTHEASTERN ARIZONA;

SOILS;

CLASSIFICATION; CLIMATE VARIATION; DIGITAL MAPPING; LAND SURFACE; LANDSAT THEMATIC MAPPER; NDVI; REMOTE SENSING; SOIL ANALYSIS; SOIL-VEGETATION INTERACTION; SUPPORT VECTOR MACHINE; TIME SERIES ANALYSIS;

ARIZONA; UNITED STATES;

EID: 84988978335     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2016.09.024     Document Type: Article

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