Distributive fluvial systems(DFS)are widespread in drylands in the northwestern China.Analyzing differences in fluvial morphology in drylands is beneficial for studying ancient rock records and the extra-terrestrial surface environment.The remote sensing image,characterized by real-time and possibility of repeated observations,is a vital tool for recording and comparing fluvial systems in drylands.Satellite remote sensing technology is a method of investigating fluvial morphologies.Due to the limited accuracy of satellite imagery,there are few reports on the detailed description of the fluvial system in drylands of NW China.We analyze the pattern of fluvial morphology changes in the Golmud distributive fluvial system(DFS)in the Qaidam Basin,northwestern China,using satellite remote sensing and unmanned aerial vehicles(UAV).Firstly,we use Google Earth real-time image data,historical image data,and radar digital elevation data to extract geomorphological information;then the UAV remote sensing image data were used to interpret fluvial network information;finally,we use the gray-scale differential vector method to describe the fluvial morphologies.Three zones have been identified in the Golmud DFS:the proximal,the medial,and the distal,by comparing the differences in topographic and geomorphic characteristics,fluvial morphologies,and sedimentary char-acteristics of the Golmud DFS.The proximal slope is higher than the other two zones,and the geomorphic features are mainly gravel gobi.The proximal fluvial morphologies are mainly large braided rivers,and sed-iments are more gravelly and less sandy.The medial slope is relatively small,and the geomorphic features are mostly oasis plains.The medial fluvial morphologies are mainly meandering rivers associating with braided rivers,and sediments are more sandy and less gravelly.The distal slope is the lowest,and the geomorphic features are mostly oasis plains,lakes,and marsh plains.The distal fluvial morphologies are mainly meandering rivers,and sediments are sandy and muddy.Comparison of the DFS from proximal to medial to distal in Golmud confirmed the potential of remote sensing image technology in identifying the fluvial mor-phologies and sedimentary facies distribution in dryland.

Xiang-Hui Zhang;Chang-Min Zhang;Wen-Jie Feng;Rui Zhu;Qing-Hai Xu

School of Geosciences,Yangtze University,Wuhan,430100,Hubei Province,China

古地理学报（英文版）

[1]Xiang-Hui Zhang;Chang-Min Zhang;Wen-Jie Feng;Rui Zhu;Qing-Hai Xu-.Application of remote sensing in the description of fluvial system in dryland:A case study of Golmud distributive fluvial system,Qaidam Basin,NW China)[J].古地理学报（英文版）,2022(04):601-617

Golmud,Distributive,gravelly

Application,remote,sensing,description,fluvial,case,distributive,Qaidam,Basin,NW,China,systems,DFS,are,widespread,drylands,northwestern,Analyzing,differences,morphology,beneficial,studying,ancient,rock,records,terrestrial,surface,environment,characterized,by,real,possibility,repeated,observations,vital,tool,recording,comparing,Satellite,technology,method,investigating,morphologies,Due,limited,accuracy,satellite,imagery,there,few,reports,detailed,We,analyze,pattern,changes,using,unmanned,aerial,vehicles,UAV,Firstly,Google,Earth,data,historical,radar,digital,elevation,extract,geomorphological,information,then,were,used,interpret,network,finally,gray,scale,differential,vector,describe,Three,zones,have,been,identified,proximal,medial,distal,topographic,geomorphic,characteristics,sedimentary,slope,higher,than,other,features,mainly,gobi,large,braided,rivers,more,less,sandy,relatively,small,mostly,oasis,plains,meandering,associating,sediments,lowest,lakes,marsh,muddy,Comparison,from,confirmed,potential,identifying,facies,distribution

0.391485