Digital Elevation Models in Geomorphology Digital Elevation Models in Geomorphology
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Bathymetry and Geomorphology of Shelikof Strait and the Western Gulf of Alaska
geosciences Article Bathymetry and Geomorphology of Shelikof Strait and the Western Gulf of Alaska Mark Zimmermann 1,* , Megan M. Prescott 2 and Peter J. Haeussler 3 1 National Marine Fisheries Service, Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), Seattle, WA 98115, USA 2 Lynker Technologies, Under contract to Alaska Fisheries Science Center, Seattle, WA 98115, USA; [email protected] 3 U.S. Geological Survey, 4210 University Dr., Anchorage, AK 99058, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-206-526-4119 Received: 22 May 2019; Accepted: 19 September 2019; Published: 21 September 2019 Abstract: We defined the bathymetry of Shelikof Strait and the western Gulf of Alaska (WGOA) from the edges of the land masses down to about 7000 m deep in the Aleutian Trench. This map was produced by combining soundings from historical National Ocean Service (NOS) smooth sheets (2.7 million soundings); shallow multibeam and LIDAR (light detection and ranging) data sets from the NOS and others (subsampled to 2.6 million soundings); and deep multibeam (subsampled to 3.3 million soundings), single-beam, and underway files from fisheries research cruises (9.1 million soundings). These legacy smooth sheet data, some over a century old, were the best descriptor of much of the shallower and inshore areas, but they are superseded by the newer multibeam and LIDAR, where available. Much of the offshore area is only mapped by non-hydrographic single-beam and underway files. We combined these disparate data sets by proofing them against their source files, where possible, in an attempt to preserve seafloor features for research purposes. -
A Brief Guide
CHAPTER 1 Geomorphometry: A Brief Guide R.J. Pike, I.S. Evans and T. Hengl basic definitions · the land surface · land-surface parameters and objects · digital elevation models (DEMs) · basic principles of geomorphometry from a GIS perspective · inputs/outputs, data structures & algorithms · history of geomorphometry · geomorphometry today · data set used in this book 1. WHAT IS GEOMORPHOMETRY? Geomorphometry is the science of quantitative land-surface analysis (Pike, 1995, 2000a; Rasemann et al., 2004). It is a modern, analytical-cartographic approach to rep- resenting bare-earth topography by the computer manipulation of terrain height (Tobler, 1976, 2000). Geomorphometry is an interdisciplinary field that has evolved from mathematics, the Earth sciences, and — most recently — computer science (Figure 1). Although geomorphometry1 has been regarded as an activity within more established fields, ranging from geography and geomorphology to soil sci- ence and military engineering, it is no longer just a collection of numerical tech- niques but a discipline in its own right (Pike, 1995). It is well to keep in mind the two overarching modes of geomorphometric analysis first distinguished by Evans (1972): specific, addressing discrete surface features (i.e. landforms), and general, treating the continuous land surface. The morphometry of landforms per se, by or without the use of digital data, is more correctly considered part of quantitative geomorphology (Thorn, 1988; Scheidegger, 1991; Leopold et al., 1995; Rhoads and Thorn, 1996). Geomorphometry in this book is primarily the computer characterisation and analysis of continuous topography. A fine-scale counterpart of geomorphometry in manufacturing is industrial surface metrology (Thomas, 1999; Pike, 2000b). The ground beneath our feet is universally understood to be the interface be- tween soil or bare rock and the atmosphere. -
Estimating Vertical Land Motion from Remote Sensing and In-Situ Observations in the Dubrovnik Area (Croatia): a Multi-Method Case Study
remote sensing Technical Note Estimating Vertical Land Motion from Remote Sensing and In-Situ Observations in the Dubrovnik Area (Croatia): A Multi-Method Case Study Marijan Grgi´c 1,* , Josip Bender 2 and Tomislav Baši´c 1 1 Faculty of Geodesy, Kaˇci´ceva26, University of Zagreb, 10000 Zagreb, Croatia; [email protected] 2 Geo Servis Dubrovnik, Vukovarska 22, 20000 Dubrovnik, Croatia; [email protected] * Correspondence: [email protected] Received: 29 September 2020; Accepted: 26 October 2020; Published: 29 October 2020 Abstract: Different space-borne geodetic observation methods combined with in-situ measurements enable resolving the single-point vertical land motion (VLM) and/or the VLM of an area. Continuous Global Navigation Satellite System (GNSS) measurements can solely provide very precise VLM trends at specific sites. VLM area monitoring can be performed by Interferometric Synthetic Aperture Radar (InSAR) technology in combination with the GNSS in-situ data. In coastal zones, an effective VLM estimation at tide gauge sites can additionally be derived by comparing the relative sea-level trends computed from tide gauge measurements that are related to the land to which the tide gauges are attached, and absolute trends derived from the radar satellite altimeter data that are independent of the VLM. This study presents the conjoint analysis of VLM of the Dubrovnik area (Croatia) derived from the European Space Agency’s Sentinel-1 InSAR data available from 2014 onwards, continuous GNSS observations at Dubrovnik site obtained from 2000, and differences of the sea-level change obtained from all available satellite altimeter missions for the Dubrovnik area and tide gauge measurements in Dubrovnik from 1992 onwards. -
Geomorphometry of Cerro Sillajhuay (Andes, Chile/Bolivia): Comparison of Digital Elevation Models (Dems) from ASTER Remote Sensing Data and Contour Maps
Geomorphometry of Cerro Sillajhuay (Andes, Chile/Bolivia): Comparison of Digital Elevation Models (DEMs) from ASTER Remote Sensing Data and Contour Maps Ulrich Kamp Department of Geography and Environmental Science Program, DePaul University 990 W Fullerton Ave, Chicago, IL 60614-2458, U.S.A. E-mail: [email protected] Tobias Bolch Department of Geography, Humboldt University Berlin Rudower Chausse 16, Unter den Linden 6, 10099 Berlin, Germany E-mail: [email protected] Jeffrey Olsenholler Department of Geography and Geology, University of Nebraska - Omaha 6001 Dodge Street, Omaha, NE 68182-0199, U.S.A. [email protected] Abstract Digital elevation models (DEMs) are increasingly used for visual and mathematical analysis of topography, landscapes and landforms, as well as modeling of surface processes. To accomplish this, the DEM must represent the terrain as accurately as possible, since the accuracy of the DEM determines the reliability of the geomorphometric analysis. For Cerro Sillajhuay in the Andes of Chile/Bolivia two DEMs are compared: one derived from contour maps, the other from a satellite stereo-pair from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). As both DEM procedures produce estimates of elevation, quantative analysis of each DEM was limited. The original ASTER DEM has a horizontal resolution of 30 m and was generated using tie points (TPs) and ground control points (GCPs). It was then resampled to 15 m resolution, the resolution of the VNIR bands. Five parameters were calculated for geomorphometric interpretation: elevation, slope angle, slope aspect, vertical curvature, and tangential curvature. Other calculations include flow lines and solar radiation. -
Sky-View Factor As a Relief Visualization Technique
Remote Sens. 2011, 3, 398-415; doi:10.3390/rs3020398 OPEN ACCESS Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Sky-View Factor as a Relief Visualization Technique Klemen Zakšek 1,2,*, Kristof Oštir 2,3 and Žiga Kokalj 2,3 1 Institute of Geophysics, University of Hamburg, Bundesstr. 55, D-20146 Hamburg, Germany 2 Centre of Excellence Space-SI, Aškerčeva cesta 12, SI-1000 Ljubljana, Slovenia 3 Institute of Anthropological and Spatial Studies, ZRC SAZU, Novi trg 2, SI-1000 Ljubljana, Slovenia; E-Mails: [email protected] (K.O.); [email protected] (Z.K.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +49-40-42838-4921; Fax: +49-40-42838-5441. Received: 4 January 2011; in revised form: 10 February 2011 / Accepted: 14 February 2011 / Published: 23 February 2011 Abstract: Remote sensing has become the most important data source for the digital elevation model (DEM) generation. DEM analyses can be applied in various fields and many of them require appropriate DEM visualization support. Analytical hill-shading is the most frequently used relief visualization technique. Although widely accepted, this method has two major drawbacks: identifying details in deep shades and inability to properly represent linear features lying parallel to the light beam. Several authors have tried to overcome these limitations by changing the position of the light source or by filtering. This paper proposes a new relief visualization technique based on diffuse, rather than direct, illumination. It utilizes the sky-view factor—a parameter corresponding to the portion of visible sky limited by relief. -
The Contribution of Geomorphometry to the Seabed Characterization of Tidal Inlets (Wadden Sea, Germany)
Zeitschrift für Geomorphologie, Vol. 61 (2017), Suppl. 2, 179–197 Article Bpublished online May 2017; published in print November 2017 The contribution of geomorphometry to the seabed characterization of tidal inlets (Wadden Sea, Germany) F. Mascioli, G. Bremm, P. Bruckert, R. Tants, H. Dirks and A. Wurpts with 10 figures and 2 tables Abstract. The monitoring policies of subtidal marine areas, as regulated by the FFH and MSFD, re- quire stable measures and objective interpretation methods to ensure accurate and repeatable results. The nature of Wadden Sea inlets seabed have been investigated trough the analysis of bathymetrical and backscatter data, collected simultaneously by means of high-resolution multibeam echosounder, in con- junction with validation samples. The datasets allowed a robust approach to characterize substrate and bedforms, using objective and repeatable methods. The geomorphometric approach gives a substantial contribution to extract quantitative information on morphology and bedforms from bathymetry. DEMs of four tidal inlets have been used to calculate morphometric parameters, compare the inlets morphol- ogy and provide a classification of slope and profile curvature. Classified morphometric parameters have been applied to a detailed characterization of Otzumer Balje seabed. Very steep slopes and breaks of slope potentially related to substrate variations have been mapped and statistically investigated with respect to their depth distribution and spatial orientation. The computation of multiscale Benthic Position Index identified morphological features and bedforms at broad and fine scales. The geological and geomorpho- logical meaning of morphometric parameters were extracted by means of quantitative comparison with backscatter intensity and samples. Backscatter was processed for radiometric corrections, geometrical corrections and mosaicking, to get intensities representative of the substrate characteristics. -
Geomorphometry – Diversity in Quantitative Surface Analysis Richard J
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln USGS Staff -- ubP lished Research US Geological Survey 2000 Geomorphometry – diversity in quantitative surface analysis Richard J. Pike US Geological Survey Follow this and additional works at: http://digitalcommons.unl.edu/usgsstaffpub Part of the Geology Commons, Oceanography and Atmospheric Sciences and Meteorology Commons, Other Earth Sciences Commons, and the Other Environmental Sciences Commons Pike, Richard J., "Geomorphometry – diversity in quantitative surface analysis" (2000). USGS Staff -- Published Research. 901. http://digitalcommons.unl.edu/usgsstaffpub/901 This Article is brought to you for free and open access by the US Geological Survey at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in USGS Staff -- ubP lished Research by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Progress in Physical Geography 24,1 (2000) pp. 1–20 Geomorphometry – diversity in quantitative surface analysis Richard J. Pike M/S 975 US Geological Survey, 345 Middlefield Road, Menlo Park, CA 94025, USA Abstract: A widening variety of applications is diversifying geomorphometry (digital terrain modelling), the quantitative study of topography. An amalgam of earth science, mathematics, engineering and computer science, the discipline has been revolutionized by the computer manipulation of gridded terrain heights, or digital elevation models (DEMs). Its rapid expansion continues. This article reviews the -
Bathymetry Estimation Using the Gravity-Geologic Method: an Investigation of Density Contrast Predicted by the Downward Continuation Method
Terr. Atmos. Ocean. Sci., Vol. 22, No. 3, 347-358, June 2011 doi: 10.3319/TAO.2010.10.13.01(Oc) Bathymetry Estimation Using the Gravity-Geologic Method: An Investigation of Density Contrast Predicted by the Downward Continuation Method Yu-Shen Hsiao1, *, Jeong Woo Kim1, Kwang Bae Kim1, Bang Yong Lee 2, and Cheinway Hwang 3 1 Department of Geomatics Engineering, University of Calgary, Calgary, Canada 2 Korea Polar Research Institute, Korea Ocean Research and Development Institute, Incheon, Korea 3 Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan Received 31 March 2010, accepted 13 October 2010 ABSTRACT The downward continuation (DWC) method was used to determine the density contrast between the seawater and the ocean bottom topographic mass to estimate accurate bathymetry using the gravity-geologic method (GGM) in two study areas, which are located south of Greenland (Test Area #1: 40 - 50°W and 50 - 60°N) and south of Alaska (Test Area #2: 140 - 150°W and 45 - 55°N). The data used in this study include altimetry-derived gravity anomalies, shipborne depths and gravity anomalies. Density contrasts of 1.47 and 1.30 g cm-3 were estimated by DWC for the two test areas. The considerations of predicted density contrasts can enhance the accuracy of 3 ~ 4 m for GGM. The GGM model provided results closer to the NGDC (National Geophysical Data Center) model than the ETOPO1 (Earth topographical database 1) model. The differences along the shipborne tracks between the GGM and NGDC models for Test Areas #1 and #2 were 35.8 and 50.4 m in standard deviation, respectively. -
Methodology Identification of Mapped Ice-Margin
METHODOLOGY IDENTIFICATION OF MAPPED ICE-MARGIN POSITIONS IN WESTERN NEW YORK FROM DIGITAL TERRAIN-ANALYSIS AND SOIL DATABASES Susan W. S. Millar Department of Geography Syracuse University Syracuse, New York 13244 Abstract: Geographic Information Systems (GIS) are rarely applied to problems associ- ated with Wisconsinan ice-margins. This study identifies inconsistencies in ice extent in the Salamanca Re-entrant in western New York as mapped using soil properties and surfi- cial geology. In essence, previous studies have revealed a zone of disagreement between those areas that were clearly glaciated and those that were not. This study uses a raster- based approach to extract the soil pH, silt, and clay contents from digital soil databases; and the morphometric parameters of elevation, slope, terrain ruggedness, and planform and profile curvature from mosaiced 10-m digital elevation models. Two-way ANOVA indicates a close correspondence between the zone of disagreement and the glaciated area when soil information is used; however on the basis of morphometry, the area of disagreement is analogous to the unglaciated terrain. These results highlight both previous difficulties and the source of the mapped differences, suggesting that a GIS analysis of former ice margins is a productive preliminary step to their precise delineation. [Key words: GIS, Salamanca Re-entrant, Wisconsinan ice margin, geomorphometry.] INTRODUCTION The Salamanca Re-entrant in western New York represents the only portion of the state that remained ice-free during the Wisconsinan glaciation (Fig. 1). The Re- entrant is part of the unglaciated foreland that extends southward into Pennsylvania, where the effects of seasonal freezing and possibly permafrost have been docu- mented by Denny (1951, 1956). -
GOCE's View Below the Ice of Antarctica: Satellite Gravimetry
1 Citation: Hirt, C. (2014), GOCE’s view below the ice of Antarctica: Satellite gravimetry confirms improvements 2 in Bedmap2 bedrock knowledge, Geophysical Research Letters 41(14), 5021-5028, doi: 3 10.1002/2014GL060636. 4 GOCE’s view below the ice of Antarctica: Satellite gravimetry 5 confirms improvements in Bedmap2 bedrock knowledge 6 Christian Hirt 7 Western Australian Centre for Geodesy & The Institute for Geoscience Research, 8 Curtin University, GPO Box U1987, Perth, WA 6845, Australia 9 Email: [email protected] 10 Currently at: Institute for Astronomical and Physical Geodesy & Institute for Advanced Study 11 Technische Universität München, Germany 12 13 Key points 14 GOCE satellite gravity is used to evaluate gravity implied by Bedmap2 masses 15 Gravity from GOCE and Bedmap2 in good agreement to 80 km spatial scales 16 Evidence of GOCE’s sensitivity for subsurface mass distribution over Antarctica 17 Key words 18 GOCE, satellite gravity, bedrock, topography, gravity forward modelling 19 Abstract 20 Accurate knowledge of Antarctica’s topography, bedrock and ice sheet thickness is pivotal for 21 climate change and geoscience research. Building on recent significant progress made in 22 satellite gravity mapping with ESA’s GOCE mission, we here reverse the widely used 23 approach of validating satellite gravity with topography and instead utilize the new GOCE 24 gravity maps for novel evaluation of Bedmap1/2. Space-collected GOCE gravity reveals clear 25 improvements in the Bedmap2 ice and bedrock data over Bedmap1 via forward-modelled 26 topographic mass and gravity effects at spatial scales of 400 to 80 km. Our study 27 demonstrates GOCE’s sensitivity for the subsurface mass distribution in the lithosphere, and 28 delivers independent evidence for Bedmap2’s improved quality reflecting new radar-derived 29 ice thickness data. -
A Bibliography of Geomorphometry, the Quantitative Representation of Topography Supplement 3.0
science USGSfora changing world A Bibliography of Geomorphometry, the Quantitative Representation of Topography Supplement 3.0 By RICHARD J. PIKE Provides over 900 additions and corrections to the 1993 Bibliography of Geomorphometry and its 1995 and 1996 Supplements, with an update of recent advances OPEN-FILE REPORT 99-140 1999 This report is preliminary and has not been reviewed for conformity with U.S. Geological Survey editorial standards or with the North American Stratigraphic Code. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government U.S. DEPARTMENT OF THE INTERIOR U.S. GEOLOGICAL SURVEY aMENLO PARK, California A Bibliography of Geomorphometry, the Quantitative Representation of Topography Supplement 3.0 by Richard J. Pike Abstract This report adds over 900 references on the numerical characterization of topography (geomorphometry, or terrain modeling) to a 1993 review of the literature and its 1995 and 1996 supplements. A number of corrections are included. The report samples recent advances in several morphometric topics, featuring six in greater depth landslide hazards, barchan dunes, sea-ice surfaces, abyssal-hill topography, wavelet analysis, and industrial-surface metrology. Many historical citations have been added. The cumulative archive now approaches 4400 references. he practice of terrain quantification in the earlier three reports1 . Some 20 references continues to grow through its many (p. 56-57) correct the most serious errors found in T applications to geomorphology, hydrology, the three listings. The new entries in this report geohazards mapping, tectonics, and sea-floor and include both publications postdating the second planetary exploration. -
New Global Raster Water Mask at 250 Meter Spatial Resolution
MOD44W: Global MODIS water maps user guide Carroll, M. L., DiMiceli, C.M., Townshend, J.R.G., Sohlberg, R.A., Hubbard, A.B., Wooten, M.R. Corresponding author Mark Carroll [email protected]. Table of Contents History: key updates in version C6 ................................................................................................. 1 Introduction ..................................................................................................................................... 2 MOD44W Collection 6 ................................................................................................................... 2 Terrain shadow mask .................................................................................................................. 3 Ocean mask ................................................................................................................................. 3 Burn scar ..................................................................................................................................... 3 Urban/impervious surface ........................................................................................................... 4 Static Small Water Bodies from MOD44W ............................................................................... 4 Final output maps ........................................................................................................................ 4 QA description .......................................................................................................................