Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 110, Issue , 2015, Pages 55-65

  Sibanda, Mbulisi ^a   Mutanga, Onisimo ^a   Rouget, Mathieu ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Field spectroscopy; New generation multispectral sensors; Rangeland fertilization; Spectral resampling

Indexed keywords

FERTILIZERS; LEAST SQUARES APPROXIMATIONS; REMOTE SENSING; SIGNAL TO NOISE RATIO; SPECTRAL RESOLUTION;

ABOVE GROUND BIOMASS; FIELD SPECTROSCOPY; MANAGEMENT PRACTICES; MULTISPECTRAL SENSORS; RANGELAND FERTILIZATION; REMOTELY SENSED DATA; RESAMPLING; SPARSE PARTIAL LEAST SQUARES;

BIOMASS;

ABOVEGROUND BIOMASS; AGRICULTURAL MANAGEMENT; FERTILIZER APPLICATION; GRASS; LANDSAT; MULTISPECTRAL IMAGE; QUANTITATIVE ANALYSIS; RANGELAND; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SENTINEL; SIGNAL-TO-NOISE RATIO; SPECTRAL RESOLUTION; SPECTROSCOPY;

POACEAE;

EID: 84946846551     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.10.005     Document Type: Article

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