A simple method for soil moisture determination from LST-VI feature space using nonlinear interpolation based on thermal infrared remotely sensed data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 2, 2015, Pages 638-648

  Zhang, Dianjun ^a   Tang, Ronglin ^a   Tang, Bo Hui ^a   Wu, Hua ^a   Li, Zhao Liang ^b,c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b INSTITUTE OF PLANT PROTECTION   (China)

^c UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

Nonlinear interpolation; soil moisture; thermal infrared remote sensing; universal triangle method

Indexed keywords

ATMOSPHERIC TEMPERATURE; COMPUTATIONAL MECHANICS; INFRARED RADIATION; INTERPOLATION; MEAN SQUARE ERROR; MOISTURE; MOISTURE DETERMINATION; NONLINEAR ANALYSIS; POLYNOMIALS; REMOTE SENSING; SOIL MOISTURE; SOILS; SURFACE MEASUREMENT; VEGETATION;

ENERGY BALANCE PRINCIPLE; FRACTIONAL VEGETATION COVER; LAND SURFACE TEMPERATURE; NONLINEAR INTERPOLATION; NORMALIZED DIFFERENCE VEGETATION INDEX; SOIL MOISTURE ESTIMATION; THERMAL INFRARED REMOTE SENSING; UNIVERSAL TRIANGLE METHOD;

SOIL SURVEYS;

INFRARED IMAGERY; INTERPOLATION; LAND SURFACE; NDVI; REMOTE SENSING; SOIL MOISTURE; SOIL SURFACE; VEGETATION COVER; WATER CONTENT;

CHINA; NORTH CHINA PLAIN;

EID: 85028142564     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2371135     Document Type: Article

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