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A GIS add-in for automated measurement of sand dune migration using lidar-derived multitemporal and high-resolution digital elevation models

Xia Jisheng and Dong Pinliang
A GIS add-in for automated measurement of sand dune migration using lidar-derived multitemporal and high-resolution digital elevation models
Geosphere (Boulder, CO) (August 2016) 12 (4): 1316-1322

Abstract

Desert environment modeling involving sand dune migration is important for better understanding of Earth and planetary surface processes. This paper presents a geographic information system (GIS) add-in for automated measurement of dune migration directions and migration rates using multitemporal, high-resolution digital elevation models (DEM) derived from light detection and ranging (LiDAR) data or other sources. Using the angle of repose (AOR) as a sensitive movement indicator of barchan (crescent-shaped) and transverse dunes, an add-in toolbar for ArcGIS was developed using the Python programming language to automatically detect, measure, and store dune migration direction and migration rate at random point locations on dune slip face centerlines. Pseudo-code and application samples from the White Sands dune field in New Mexico, USA, are also presented. The free add-in can be used by the geoscience community for studying coastal and desert sand dunes. (super 1)


EISSN: 1553-040X
Serial Title: Geosphere (Boulder, CO)
Serial Volume: 12
Serial Issue: 4
Title: A GIS add-in for automated measurement of sand dune migration using lidar-derived multitemporal and high-resolution digital elevation models
Affiliation: Yunnan University, School of Resource, Environment and Earth Sciences, Kunming, China
Pages: 1316-1322
Published: 201608
Text Language: English
Publisher: Geological Society of America, Boulder, CO, United States
References: 28
Accession Number: 2016-076862
Categories: GeomorphologyApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table
N31°30'00" - N37°00'00", W109°04'60" - W103°00'00"
Secondary Affiliation: Capital Normal University, CHN, China
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by the Geological Society of America, Boulder, CO, United States
Update Code: 201637
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