Automated Classification of Basic-Level Terrain Features in Digital Elevation Models

Graff, Linda H.

doi:10.21236/ada256932

Cited by 12 publications

(17 citation statements)

References 8 publications

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“…The use of geomorphometric field variables to identify landform classes and features dates back over four decades (Wilson, 2012). Over the last twenty years, several methods have been developed to automate the extraction of land surface features from DEMs (e.g Graff and Usery (1993), Miliaresis and Argialas (1999), Dymond et al (1995), Wood (1996), Schmidt and Hewitt (2004), Dragut and Blaschke (2006)). Several widely applied approaches to automated classification of land surface elements are based on consideration of local surface shape as measured by slope gradient and signs or values of curvatures (MacMillan and Shary, 2009).…”

Section: The Analysis Of the Land Surface Using Digital Methodsmentioning

confidence: 99%

ArcGeomorphometry: A toolbox for geomorphometric characterisation of DEMs in the ArcGIS environment

Rigol-Sánchez

Stuart

Pulido−Bosch

2015

Computers & Geosciences

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a b s t r a c tA software tool is described for the extraction of geomorphometric land surface variables and features from Digital Elevation Models (DEMs). The ArcGeomorphometry Toolbox consists of a series of Python/ Numpy processing functions, presented through an easy-to-use graphical menu for the widely used ArcGIS package. Although many GIS provide some operations for analysing DEMs, the methods are often only partially implemented and can be difficult to find and used effectively. Since the results of automated characterisation of landscapes from DEMs are influenced by the extent being considered, the resolution of the source DEM and the size of the kernel (analysis window) used for processing, we have developed a tool to allow GIS users to flexibly apply several multi-scale analysis methods to parameterise and classify a DEM into discrete land surface units. Users can control the threshold values for land surface classifications. The size of the processing kernel can be used to identify land surface features across a range of landscape scales. The pattern of land surface units from each attempt at classification is displayed immediately and can then be processed in the GIS alongside additional data that can assist with a visual assessment and comparison of a series of results. The functionality of the ArcGeomorphometry toolbox is described using an example DEM.

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Section: The Analysis Of the Land Surface Using Digital Methodsmentioning

confidence: 99%

ArcGeomorphometry: A toolbox for geomorphometric characterisation of DEMs in the ArcGIS environment

Rigol-Sánchez

Stuart

Pulido−Bosch

2015

Computers & Geosciences

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“…Researchers have been trying to measure and standardize mountain peaks for at least the past 120 years [1][2][3][4][5][6]. Defining a peak is a conceptual problem that requires a certain level of abstraction which is an essential part of the model, and which should have subsequent feasibility for the applicable automation process.…”

Section: Semantics Definitions Conception and Standardizationsmentioning

confidence: 99%

“…(A) Most of the developed automated techniques concentrate on the detection or classification of whole mountains or mountain ranges, e.g., the algorithms for feature-matching [3], the componentlabeling algorithm applied to the mountain terrain class [17], a local histograms analysis [25], and mathematical-morphological based algorithms [16].…”

Section: Morphometric Algorithms Based On a Digital Elevation Model (mentioning

confidence: 99%

Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures

Podobnikar

2012

Remote Sensing

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Abstract:The detection of peaks (summits) as the upper parts of mountains and the delineation of their shape is commonly confirmed by inspections carried out by mountaineers. In this study the complex task of peak detection and shape delineation is solved by autometric methodological procedures, more precisely, by developing relatively simple but innovative image-processing and spatial-analysis techniques (e.g., developing inventive variables using an annular moving window) in remote sensing and GIS domains. The techniques have been integrated into automated morphometric methodological procedures. The concepts of peaks and their shapes (sharp, blunt, oblong, circular and conical) were parameterized based on topographic and morphologic criteria. A geomorphologically high quality DEM was used as a fundamental dataset. The results, detected peaks with delineated shapes, have been integratively enriched with numerous independent datasets (e.g., with triangulated spot heights) and information (e.g., etymological information), and mountaineering criteria have been implemented to improve the judgments. This holistic approach has proved the applicability of both highly standardized and universal parameters for the geomorphologically diverse Kamnik Alps case study area. Possible applications of this research are numerous, e.g., a comprehensive quality control of DEM or significantly improved models for the spatial planning proposes.

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“…Land components can be mapped by studying topographical maps, interpreting aerial photographs (Speight 1977) and making field measurements (Graff & Usery 1993). Such terrain analysis techniques are considered to be an art without formal theory and often rely on the interpreter's implicit terrain-related knowledge of the area being studied (Irvin, Ventura & Slater 1997).…”

Section: Terrain Analysismentioning

confidence: 99%

CLUES: A web-based land use expert system for the Western Cape

Niekerk¹

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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Automated Classification of Basic-Level Terrain Features in Digital Elevation Models

Cited by 12 publications

References 8 publications

ArcGeomorphometry: A toolbox for geomorphometric characterisation of DEMs in the ArcGIS environment

ArcGeomorphometry: A toolbox for geomorphometric characterisation of DEMs in the ArcGIS environment

Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures

CLUES: A web-based land use expert system for the Western Cape

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