Neural network algorithm and backscattering model for biomass estimation of wetland vegetation in Poyang Lake area using Envisat ASAR data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 2009, Pages

  Liao, Jingjuan ^a   Dong, Lei ^b   Shen, Guozhuang ^a  

^a CENTER FOR EARTH OBSERVATION AND DIGITAL EARTH   (China)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

Author keywords

Backscattering model; Biomass; Estimation; Neural network algorithm; Wetland

Indexed keywords

ALTERNATING POLARIZATION; BACKSCATTERING MODELS; BIOMASS ESTIMATION; ENVIRONMENT CHANGE; ENVISAT ASAR DATA; FIELD MEASUREMENT; FRESH WATER LAKES; HYDROLOGICAL CYCLES; INVERSION RESULTS; MEASURED DATA; MICHIGAN MICROWAVE CANOPY SCATTERINGS; MODEL INPUTS; NEURAL NETWORK ALGORITHM; POYANG LAKE; POYANG LAKE AREA; SIGNIFICANT IMPACTS; TRAINED NEURAL NETWORKS; TRAINING DATA; TREE CANOPY; WETLAND ECOSYSTEM; WETLAND VEGETATION;

ALGORITHMS; BACKSCATTERING; BIOMASS; ECOSYSTEMS; ESTIMATION; GEODETIC SATELLITES; GEOLOGY; LAKES; REMOTE SENSING; TREES (MATHEMATICS); VEGETATION; WETLANDS;

NEURAL NETWORKS;

EID: 77951263052     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2009.5417344     Document Type: Conference Paper

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