Derivation of terrain roughness indicators via granulometries

Digital elevation models (DEMs) provide rich clues about various geophysical and geomorphologic processes. These clues include conspicuous protrusions and intrusions of foreground and background portions that testify the presence of channels and ridges in DEMs. We show an application of greyscale gr...

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Main Authors: Tay, L. T., Daya Sagar, B. S., Chuah, H. T.
Format: Article
Published: 2005
Subjects:
Online Access:http://shdl.mmu.edu.my/2184/
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author Tay, L. T.
Daya Sagar, B. S.
Chuah, H. T.
author_facet Tay, L. T.
Daya Sagar, B. S.
Chuah, H. T.
author_sort Tay, L. T.
building MMU Institutional Repository
collection Online Access
description Digital elevation models (DEMs) provide rich clues about various geophysical and geomorphologic processes. These clues include conspicuous protrusions and intrusions of foreground and background portions that testify the presence of channels and ridges in DEMs. We show an application of greyscale granulometries to characterize DEMs through shape-size complexity measures relative to symmetric rhombus, octagon and square templates. We first compute pattern spectra that measure the size distributions of protrusions and intrusions in a DEM. We then employ pattern spectra to compute probability size distribution functions of protrusions and intrusions relative to three templates. We finally compute shape-size complexity measures of DEM by employing these probability functions. To illustrate the implementation of granulometric approach to compute these measures of both background and foreground, we consider an interferometrically generated DEM of a part of Cameron Highlands of Malaysia. Hierarchical watersheds that could be decomposed from DEMs can be better classified via these measures.
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spelling mmu-21842011-09-12T05:43:50Z http://shdl.mmu.edu.my/2184/ Derivation of terrain roughness indicators via granulometries Tay, L. T. Daya Sagar, B. S. Chuah, H. T. Q Science (General) Digital elevation models (DEMs) provide rich clues about various geophysical and geomorphologic processes. These clues include conspicuous protrusions and intrusions of foreground and background portions that testify the presence of channels and ridges in DEMs. We show an application of greyscale granulometries to characterize DEMs through shape-size complexity measures relative to symmetric rhombus, octagon and square templates. We first compute pattern spectra that measure the size distributions of protrusions and intrusions in a DEM. We then employ pattern spectra to compute probability size distribution functions of protrusions and intrusions relative to three templates. We finally compute shape-size complexity measures of DEM by employing these probability functions. To illustrate the implementation of granulometric approach to compute these measures of both background and foreground, we consider an interferometrically generated DEM of a part of Cameron Highlands of Malaysia. Hierarchical watersheds that could be decomposed from DEMs can be better classified via these measures. 2005-09 Article NonPeerReviewed Tay, L. T. and Daya Sagar, B. S. and Chuah, H. T. (2005) Derivation of terrain roughness indicators via granulometries. International Journal of Remote Sensing, 26 (18). pp. 3901-3910. ISSN 0143-1161 http://dx.doi.org/10.1080/01431160500165880 doi:10.1080/01431160500165880 doi:10.1080/01431160500165880
spellingShingle Q Science (General)
Tay, L. T.
Daya Sagar, B. S.
Chuah, H. T.
Derivation of terrain roughness indicators via granulometries
title Derivation of terrain roughness indicators via granulometries
title_full Derivation of terrain roughness indicators via granulometries
title_fullStr Derivation of terrain roughness indicators via granulometries
title_full_unstemmed Derivation of terrain roughness indicators via granulometries
title_short Derivation of terrain roughness indicators via granulometries
title_sort derivation of terrain roughness indicators via granulometries
topic Q Science (General)
url http://shdl.mmu.edu.my/2184/
http://shdl.mmu.edu.my/2184/
http://shdl.mmu.edu.my/2184/