An assessment of methods and remote-sensing derived covariates for regional predictions of 1 km daily maximum air temperature

Remote Sensing

Volumn 6, Issue 9, 2014, Pages 8639-8670

  Parmentier, Benoit ^a,b,c   McGill, Brian ^b   Wilson, Adam M ^d   Regetz, James ^a   Jetz, Walter ^d   Guralnick, Robert P ^e   Tuanmu, Mao Ning ^d   Robinson, Natalie ^e   Schildhauer, Mark ^a  

^a NATIONAL CENTER FOR ECOLOGICAL ANALYSIS AND SYNTHESIS   (United States)

^b UNIVERSITY OF MAINE   (United States)

^c UNIVERSITY OF ARIZONA   (United States)

^d YALE UNIVERSITY   (United States)

^e UNIVERSITY OF COLORADO   (United States)

Author keywords

Accuracy; Generalized additive model; Geographically weighted regression; Kriging; Meteorological station; Satellite imagery; Spline; Weather interpolation

Indexed keywords

SPLINES;

ACCURACY; GENERALIZED ADDITIVE MODEL; GEOGRAPHICALLY WEIGHTED REGRESSION; KRIGING; METEOROLOGICAL STATION;

SATELLITE IMAGERY;

EID: 84907463652     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6098639     Document Type: Article

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