A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China

Ecological Modelling

Volumn 220, Issue 15, 2009, Pages 1810-1818

  Xie, Yichun ^a,b   Sha, Zongyao ^b,c   Yu, Mei ^a,d   Bai, Yongfei ^c   Zhang, Lei ^e  

^a INSTITUTE OF BOTANY   (China)

^b EASTERN MICHIGAN UNIVERSITY   (United States)

^c WUHAN UNIVERSITY   (China)

^d UNIVERSITY OF PUERTO RICO RIO PIEDRAS   (Puerto Rico)

^e INSTITUTE OF MICROBIOLOGY   (China)

Author keywords

Artificial neural network (ANN); Grassland aboveground dry biomass; Inner Mongolia; Landsat ETM+; Multiple linear regression (MLR)

Indexed keywords

ARTIFICIAL NEURAL NETWORK (ANN); GRASSLAND ABOVEGROUND DRY BIOMASS; INNER MONGOLIA; LANDSAT ETM+; MULTIPLE LINEAR REGRESSION (MLR);

BIOMASS; NEURAL NETWORKS; REGRESSION ANALYSIS; VEGETATION;

BACKPROPAGATION;

ABOVEGROUND BIOMASS; ARTIFICIAL NEURAL NETWORK; BIOMASS; COMPARATIVE STUDY; ECOLOGICAL MODELING; ELEVATION; ESTIMATION METHOD; GRASSLAND; LANDSAT THEMATIC MAPPER; NDVI; RIVER BASIN; TOPOGRAPHIC EFFECT;

ASIA; CHINA; EURASIA; FAR EAST; NEI MONGGOL; XILINGOL BASIN;

EID: 66149165735     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2009.04.025     Document Type: Article

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