Triple collocation: Beyond three estimates and separation of structural/non-structural errors

Remote Sensing of Environment

Volumn 171, Issue , 2015, Pages 299-310

  Pan, Ming ^a   Fisher, Colby K ^a   Chaney, Nathaniel W ^a   Zhan, Wang ^a   Crow, Wade T ^b   Aires, Filipe ^c,d   Entekhabi, Dara ^e   Wood, Eric F ^a  

^a Princeton University   (United States)

^b U S DEPARTMENT OF AGRICULTURE   (United States)

^c Observatoire de Paris ^*  (France)

^d OBSERVATOIRE DE PARIS   (France)

^e Massachusetts Institute of Technology   (United States)

Author keywords

Error assessment; Remote sensing; Soil moisture; Statistical methods; Triple collocation

Indexed keywords

CONSTRAINT THEORY; ERRORS; MOISTURE; REMOTE SENSING; SOIL MOISTURE; SOIL SURVEYS; SPACE OPTICS; STATISTICAL METHODS;

COLLOCATION TECHNIQUES; ERROR ASSESSMENT; LAND SURFACE MODELS; LEAST SQUARES SOLUTIONS; OVER-CONSTRAINED PROBLEM; REMOTE SENSING MODELS; SURFACE SOIL MOISTURE; TRIPLE COLLOCATION;

SOURCE SEPARATION;

ASSESSMENT METHOD; ERROR ANALYSIS; EXPERIMENTAL STUDY; NUMERICAL MODEL; REMOTE SENSING; SOIL MOISTURE; STATISTICAL ANALYSIS;

EID: 84946414141     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.10.028     Document Type: Article

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