Mots-clés
Analyse du paysage ; Bassin-versant ; Chine ; Classification ; Humidité du sol ; Nei Menggu ; Paysage ; Plateau ; Propriétés du sol ; Relief ; Taxonomie ; Topographie ; TélédétectionChina ; Classification ; Inner Mongolia ; Landscape ; Landscape analysis ; Plateau ; Relief ; Remote sensing ; Soil moisture ; Soil properties ; Taxonomy ; Topography ; WatershedAnálisis del paisaje ; China ; Clasificación ; Cuenca hidrográfica ; Humedad del suelo ; Meseta ; Paisaje ; Propiedades del suelo ; Relieve ; Taxonomía ; Teledetección ; TopografíaLandform classification using soil data and remote sensing in northern Ordos Plateau of China
Auteur(s) et Affiliation(s)
LUO, Y.
College of Conservancy and Civil Engineering, Inner Mongolia Agricultural Univ., Hohhot, Chine
LIU, T.
College of Conservancy and Civil Engineering, Inner Mongolia Agricultural Univ., Hohhot, Chine
WANG, X.
College of Conservancy and Civil Engineering, Inner Mongolia Agricultural Univ., Hohhot, Chine
Hydraulics Water Resources Lab., Dep. of Civil and Environmental Engineering, Old Dominion Univ., Norfolk, Etats-Unis
DUAN, L.
College of Conservancy and Civil Engineering, Inner Mongolia Agricultural Univ., Hohhot, Chine
ZHANG, S.
College of Conservancy and Civil Engineering, Inner Mongolia Agricultural Univ., Hohhot, Chine
SHI, J.
College of Conservancy and Civil Engineering, Inner Mongolia Agricultural Univ., Hohhot, Chine
Description :
This study aims to : 1) develop a landform classification approach that is based on both altitude and soil characteristic; and 2) use this approach to determine landforms within a watershed located in northern Ordos Plateau of China. Using data collected at sampling sites, this study determined that D10 (the diameter of soil particles 10% finer by weight) and long-term average soil moisture acquired in 2010, which can be estimated at reasonable accuracy from remote sensing imagery, can be used to represent soil characteristics of the study watershed. Also, the sampling data revealed that this watershed consists of 9 classes of landforms, namely mobile dune (MD), mobile semi-mobile dune (SMD), rolling fixed semi-fixed dune (RFD), flat sandy land (FD), grassy sandy land (GS), bedrock (BR), flat sandy bedrock (FSB), valley agricultural land (VA), and swamp and salt lake (SW). A set of logistic regression equations were derived using the data collected. The verification indicated that these equations have moderate classification accuracy.
Type de document :
Article de périodique
Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2012, vol. 22, n°. 4, p. 681-698, nombre de pages : 18, Références bibliographiques : 54 ref.
Date :
2012
Editeur :
Pays édition : Chine
Langue :
Anglais
Anglais
Droits :
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Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)