Rice biomass retrieval from multitemporal ground-based scatterometer data and RADARSAT-2 images using neural networks

Journal of Applied Remote Sensing

Volumn 7, Issue 1, 2013, Pages

  Jia, Mingquan ^a   Tong, Ling ^a   Chen, Yan ^a   Wang, Yong ^a,b   Zhang, Yuanzhi ^c  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b EAST CAROLINA UNIVERSITY   (United States)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Backscattering coefficient; Biomass of rice plant; Monte Carlo simulation model; Neural network; RADARSAT 2 imagery; Rice paddy mapping

Indexed keywords

BACKSCATTERING; BIOMASS; INTELLIGENT SYSTEMS; MEAN SQUARE ERROR; METEOROLOGICAL INSTRUMENTS; MONTE CARLO METHODS; NEURAL NETWORKS; RADAR IMAGING; SYNTHETIC APERTURE RADAR;

BACKSCATTERING COEFFICIENTS; CORRELATION COEFFICIENT; MULTI-POLARIZATION DATA; RADAR BACKSCATTERING; RADARSAT-2; RICE PADDY; RICE PLANTS; ROOT MEAN SQUARED ERRORS;

ECOLOGY;

EID: 84887421296     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.7.073509     Document Type: Article

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