BAM: Bayesian AMHG‐Manning Inference of Discharge Using Remotely Sensed Stream Width, Slope, and Height

Publisher： John Wiley & Sons Inc

E-ISSN： 1944-7973|53|11|9692-9707

ISSN： 0043-1397

Source： WATER RESOURCES RESEARCH, Vol.53, Iss.11, 2017-11, pp. : 9692-9707

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Evaluating Spatial Variability in Sediment and Phosphorus Concentration‐Discharge Relationships Using Bayesian Inference and Self‐Organizing Maps

By  

WATER RESOURCES RESEARCH, Vol. 53, Iss. 12, 2017-12 ,pp. : 10293-10316

John Wiley & Sons Inc

Access to resources Recommend Favorite

Predicting Forest Age Classes from High Spatial Resolution Remotely Sensed Imagery Using Voronoi Polygon Aggregation

By Nelson Trisalyn   Boots Barry   Wulder Mike   Feick Rob  

GeoInformatica, Vol. 8, Iss. 2, 2004-06 ,pp. : 143-155

Springer Publishing Company

Access to resources Recommend Favorite

Exploring the links between census and environment using remotely sensed satellite sensor imagery

By Watmough  

Journal of Land Use Science, Vol. 8, Iss. 3, 2013-09 ,pp. : 284-303

Taylor & Francis Ltd

Access to resources Recommend Favorite

Uncertainty in estimating reference evapotranspiration using remotely sensed and forecasted weather data under the climatic conditions of Southern Spain

By  

INTERNATIONAL JOURNAL OF CLIMATOLOGY, Vol. 35, Iss. 11, 2015-09 ,pp. : 3371-3384

John Wiley & Sons Inc

Access to resources Recommend Favorite

Role of precipitation uncertainty in the estimation of hydrologic soil properties using remotely sensed soil moisture in a semiarid environment

By  

WATER RESOURCES RESEARCH, Vol. 44, Iss. 5, 2008-05 ,pp. : n/a-n/a

John Wiley & Sons Inc

Access to resources Recommend Favorite