Linking seasonal foliar traits to VSWIR-TIR spectroscopy across California ecosystems

Remote Sensing of Environment

Volumn 186, Issue , 2016, Pages 322-338

  Meerdink, Susan K ^a   Roberts, Dar A ^a   King, Jennifer Y ^a   Roth, Keely L ^b   Dennison, Philip E ^c   Amaral, Cibele H ^d   Hook, Simon J ^e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF UTAH   (United States)

^d FEDERAL UNIVERSITY OF VIÇOSA   (Brazil)

^e CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

AVIRIS; HyspIRI; HyTES; Leaf traits; Partial least squares regression; Spectroscopy; Thermal Infrared (TIR); Visible Shortwave Infrared (VSWIR)

Indexed keywords

CELLULOSE; CLIMATE CHANGE; DATA FLOW ANALYSIS; ECOLOGY; ECOSYSTEMS; FORECASTING; INFRARED RADIATION; INFRARED SPECTROMETERS; LAND USE; LEAST SQUARES APPROXIMATIONS; LIGNIN; MEAN SQUARE ERROR; NITROGEN; SPECTROSCOPIC ANALYSIS; SPECTROSCOPY; VEGETATION;

AVIRIS; HYSPIRI; HYTES; LEAF TRAITS; PARTIAL LEAST SQUARES REGRESSION; SHORT WAVE INFRARED; THERMAL INFRARED;

SPECTROMETERS;

AVIRIS; CLIMATE CHANGE; DATA SET; ECOSYSTEM FUNCTION; ENVIRONMENTAL DISTURBANCE; GEOGRAPHICAL VARIATION; INFRARED SPECTROSCOPY; LAND USE CHANGE; LEAF MORPHOLOGY; LEAST SQUARES METHOD; MAPPING METHOD; REGRESSION ANALYSIS; SEASONAL VARIATION; SHRUB; SPECTRAL ANALYSIS; WATER CONTENT;

ECOSYSTEMS; INFRARED SPECTROSCOPY; MAPPING; REGRESSION ANALYSIS; SEASONAL VARIATION;

CALIFORNIA; UNITED STATES;

EID: 84984791352     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.08.003     Document Type: Article

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