Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale

Geoderma

Volumn 175-176, Issue , 2012, Pages 21-28

  Hbirkou, Christine ^a   Pätzold, Stefan ^a   Mahlein, Anne Katrin ^a   Welp, Gerhard ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

Imaging spectroscopy; Near infrared (NIR) spectroscopy; Partial least squares regression; Spatial variability

Indexed keywords

ACCURATE PREDICTION; AGRICULTURAL SOILS; AIRBORNE HYPERSPECTRAL IMAGING; ARABLE FIELDS; BARE SOILS; CALIBRATION MODEL; FIELD SCALE; HIGH SPATIAL RESOLUTION; HIGHLY SENSITIVE; HYPERSPECTRAL SENSORS; IMAGING SPECTROSCOPY; NEAR INFRARED REGION; ORGANIC SOIL; PARTIAL LEAST SQUARES REGRESSION; PRECISION AGRICULTURE; PREDICTION ACCURACY; SITE-SPECIFIC; SMALL CONCENTRATION; SOIL ORGANIC CARBON; SOIL REFLECTANCE; SOIL SURFACES; SPATIAL HETEROGENEITY; SPATIAL VARIABILITY; TEST SITE;

AGRICULTURE; INFRARED DEVICES; PIXELS; SOILS;

GEOLOGIC MODELS;

AGRICULTURAL SOIL; AIRBORNE SURVEY; ARABLE LAND; BARE SOIL; CALIBRATION; HETEROGENEITY; IMAGING METHOD; INFRARED SPECTROSCOPY; INTERPOLATION; ORGANIC SOIL; PRECISION AGRICULTURE; SOIL CARBON; SOIL SURFACE; SPATIAL RESOLUTION; SPATIAL VARIATION; STRAW; SURFACE ROUGHNESS; TILLAGE;

EID: 84857296982     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2012.01.017     Document Type: Article

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