1986
DOI: 10.1016/0341-8162(86)90003-2
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Description of arid geomorphic features using landsat-TM data and ground truth information (WADI FATIMA, Kingdom of Saudi Arabia)

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Cited by 11 publications
(7 citation statements)
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“…35,36]. In spite of recent developments in satellite sensor technology, Landsat remains a significant resource for geomorphologists due to its repeat coverage, large scene size and low cost [37].…”
Section: Data Acquisition and Processingmentioning
confidence: 99%
“…35,36]. In spite of recent developments in satellite sensor technology, Landsat remains a significant resource for geomorphologists due to its repeat coverage, large scene size and low cost [37].…”
Section: Data Acquisition and Processingmentioning
confidence: 99%
“…Changes in alluvial surfaces affect the reflectance of objects and patterns on the ground which are consecutively recorded by satellite images. The reflectance of arid geomorphic features was studies in the past mostly using multispectral sensors [2][3][4][5]. In this paper the potential of Landsat ETM+ images to detect temporal and spatial changes of river channels at the terminus of a fluvial system in the Uyuni closed drainage basin in the south west of Bolivia has been investigated.…”
Section: Introductionmentioning
confidence: 99%
“…Many qualitative and quantitative techniques have been used to differentiate or subdivide sequences of alluvial fan surfaces. The most common techniques include (1) mapping characteristics of a fan surface in the field by describing surface clast size, rock varnish accumulation, desert pavement development, stratigraphic relationships, and evaluation of surface morphology [ Colman and Pierce , ; Wells et al ., ; McFadden et al ., ; Bull , ; Ritter et al ., ; Birkeland , ]; (2) using soil stratigraphy and the relative degree of soil development [ McFadden et al ., ; Bull , ; McDonald et al ., ; Bacon et al ., ]; (3) mapping fan surfaces based on the difference of the surface brightness manifested in aerial or satellite images [ Christenson and Purcell , ; Bull , ]; (4) analysis of remotely sensed multispectral images [ Alwash et al ., ; White , ; Farr and Chadwick , ; Beratan and Anderson , ], multichannel thermal infrared images [ Gillespie et al ., ], hyperspectral images [ Crouvi et al ., ], and radar images [ Kierein‐Young , ]; (5) analysis of digital elevation models [ Frankel and Dolan , ]; and (6) application of cosmogenic age dating techniques to determine the ages of the alluvial deposits and the rates of arid‐region alluvial processes [ Nichols et al ., , 2006; Matmon et al ., ].…”
Section: Introductionmentioning
confidence: 99%