Use of soil moisture variability in artificial neural network retrieval of soil moisture

Remote Sensing

Volumn 2, Issue 1, 2010, Pages 166-190

  Chai, Soo See ^a   Walker, Jeffrey P ^b   Makarynskyy, Oleg ^c   Kuhn, Michael ^a   Veenendaal, Bert ^a   West, Geoff ^a  

^a CURTIN UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c Asia Pacific Applied Science Associates   (Australia)

Author keywords

Artificial neural network (ANN); Passive microwave; Radiometry; Soil moisture

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BRIGHTNESS TEMPERATURES; DUAL-POLARIZED; HIDDEN LAYERS; ILL POSED; MICROWAVE DATA; MOISTURE VARIABILITY; NON-LINEAR; PASSIVE MICROWAVE REMOTE SENSING; PASSIVE MICROWAVES; RETRIEVAL ACCURACY; ROOT MEAN SQUARE ERRORS; SOIL MOISTURE RETRIEVALS; SOIL TEXTURES; SPATIAL DIMENSION; SPATIAL VARIABILITY; STANDARD DEVIATION; SUB-REGIONS; TARGET SITES; VARIABILITY INFORMATION; VEGETATION COVER;

ATMOSPHERIC HUMIDITY; INFORMATION USE; LUMINANCE; MOISTURE DETERMINATION; NEURAL NETWORKS; REMOTE SENSING; SOIL MOISTURE; STATISTICS; SURFACE ROUGHNESS; TEMPERATURE;

SOIL SURVEYS;

EID: 80051734723     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs2010166     Document Type: Article

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