Assessing pasture quality and degradation status using hyperspectral imaging: A case study from western Tibet

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8887, Issue , 2013, Pages

  Lehnert, Lukas W ^a   Meyer, Hanna ^a   Meyer, Nele ^b   Reudenbach, Christoph ^a   Bendix, Jörg ^a  

^a PHILIPPS UNIVERSITY MARBURG   (Germany)

^b UNIVERSITY OF BONN   (Germany)

Author keywords

Chlorophyll; Hyperspectral imaging; Partial least squares regression; Pasture degradation; Tibetan Plateau

Indexed keywords

CALIBRATION AND VALIDATIONS; HYPERSPECTRAL IMAGING; HYPERSPECTRAL VEGETATION INDICES; LEAF CHLOROPHYLL CONTENT; LEAVE-ONE-OUT CROSS VALIDATIONS; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES REGRESSION; TIBETAN PLATEAU;

CHLOROPHYLL; CLIMATE CHANGE; DISCRIMINANT ANALYSIS; ECOSYSTEMS; ESTIMATION; HYDROLOGY; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; REMOTE SENSING; SEPARATION; SPECTROSCOPY; VEGETATION;

AGRICULTURE;

EID: 84888325735     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2028348     Document Type: Conference Paper

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