Mapping fuel moisture content in upland vegetation using airborne hyperspectral imagery

Remote Sensing of Environment

Volumn 127, Issue , 2012, Pages 74-83

  Al Moustafa, Turkia ^a,b   Armitage, Richard P ^a   Danson, F Mark ^a  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b TISHREEN UNIVERSITY   (Syrian Arab Republic)

Author keywords

Airborne hyperspectral data; C. vulgaris; Fuel moisture content; Upland vegetation

Indexed keywords

AIRBORNE HYPERSPECTRAL DATA; AIRBORNE IMAGERY; CALLUNA; FIRE RISKS; FIRST DERIVATIVE; FLIGHT LINES; FUEL MOISTURE CONTENT; GROUND DATA; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE DATAS; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL INSTRUMENT; NEAR INFRARED; PAPER TESTS; RADIANCE VALUES; REFERENCE TARGET; REMOTELY SENSED DATA; ROOT MEAN SQUARE ERRORS; SHORT WAVE INFRARED; SPATIAL AND TEMPORAL VARIATION; SPECTRAL MEASUREMENT; SPECTRAL REFLECTANCES; STRESS INDICES; STUDY SITES; TWO WAVELENGTH; UNITED KINGDOM; UPLAND AREA; VEGETATION INDEX; VEGETATION PLOTS; VULGARIS;

FUELS; INFRARED DEVICES; LANDFORMS; MEAN SQUARE ERROR; REFLECTION; REMOTE SENSING; SPECTROSCOPY; THERMOGRAPHY (TEMPERATURE MEASUREMENT); VEGETATION;

FORESTRY;

AIRBORNE SENSING; CALIBRATION; FUELWOOD; INFRARED RADIATION; MOISTURE CONTENT; RISK ASSESSMENT; SHORTWAVE RADIATION; SHRUB; SPECTRAL REFLECTANCE; UPLAND REGION; VEGETATION INDEX; WILDFIRE;

UNITED KINGDOM;

CALLUNA; CALLUNA VULGARIS;

EID: 84866152579     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.08.034     Document Type: Article

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