Application of the topographic position index to heterogeneous landscapes

Topographic position index (TPI) is an algorithm increasingly used to measure topographic slope positions and to automate landform classifications. We applied TPI to a geoarchaeological research project in northwestern Belgium but its use led to erroneous landform classifications in this heterogeneous landscape. We asked whether deviation from mean elevation (DEV) was a better method for landform classification than TPI. We found that it enabled more accurate geomorphological assessment when using northwestern Belgium as a case study.

[1]  Zoran Stancic,et al.  Computing archaeology for understanding the past : CAA 2000 : Computer Applications and Quantitative Methods in Archaeology : proceedings of the 28th conference, Ljubljana, April 2000 , 2001 .

[2]  Gerard B. M. Heuvelink,et al.  Small scale digital soil mapping in Southeastern Kenya , 2008 .

[3]  Yu Chang,et al.  Land Use and Land Cover Change Analysis and Prediction in the Upper Reaches of the Minjiang River, China , 2009, Environmental management.

[4]  R. A. MacMillan,et al.  Defining a hierarchy of spatial entities for environmental analysis and modeling using digital elevation models (DEMs) , 2004, Comput. Environ. Urban Syst..

[5]  G. Glass,et al.  Identifying malaria vector breeding habitats with remote sensing data and terrain-based landscape indices in Zambia , 2010, International journal of health geographics.

[6]  R. Yokoyama,et al.  Supervised landform classification of Northeast Honshu from DEM-derived thematic maps , 2006 .

[7]  W. Chung,et al.  The effects of site factors on herb species diversity in Kwangneung forest stands , 2011 .

[8]  Daniel R. Cox,et al.  Response of Northern bats (Myotis septentrionalis) to Prescribed Fires in Eastern Kentucky Forests , 2009 .

[9]  R. Courtois,et al.  Calving rate, calf survival rate, and habitat selection of forest‐dwelling caribou in a highly managed landscape , 2012 .

[10]  G. Miliaresis,et al.  Segmentation of physiographic features from the global digital elevation model/GTOPO30 , 1999 .

[11]  D. Schmidt-Vogt,et al.  An improved approach for identifying suitable habitat of Sambar Deer ( Cervus unicolor Kerr) using ecological niche analysis and environmental categorization: Case study at Phu-Khieo Wildlife Sanctuary, Thailand , 2009 .

[12]  David M. J. S. Bowman,et al.  Firescape ecology: how topography determines the contrasting distribution of fire and rain forest in the south‐west of the Tasmanian Wilderness World Heritage Area , 2011 .

[13]  T. Blaschke,et al.  Automated classification of landform elements using object-based image analysis , 2006 .

[14]  Thomas T. Veblen,et al.  Modeling wildfire potential in residential parcels: A case study of the north-central Colorado Front Range , 2011 .

[15]  Carlos Henrique Grohmann,et al.  Comparison of roving-window and search-window techniques for characterising landscape morphometry , 2009, Comput. Geosci..

[16]  G. Glass,et al.  Use of remote sensing to identify spatial risk factors for malaria in a region of declining transmission: a cross-sectional and longitudinal community survey , 2011, Malaria Journal.

[17]  A. Bevan The Rural Landscape of neopalatial Kythera: A GIS debate , 2003 .

[18]  Konnie L. Wescott,et al.  A Predictive Model of Archaeological Site Location in the Eastern Prairie Peninsula , 1999 .

[19]  J. Guinan,et al.  Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope , 2007 .

[20]  S. Fei,et al.  Mapping eastern hemlock: Comparing classification techniques to evaluate susceptibility of a fragmented and valued resource to an exotic invader, the hemlock woolly adelgid , 2012 .

[21]  Peter A. Burrough,et al.  High-resolution landform classification using fuzzy k-means , 2000, Fuzzy Sets Syst..

[22]  Michael Sommer,et al.  A multiscale soil–landform relationship in the glacial-drift area based on digital terrain analysis and soil attributes , 2010 .

[23]  Jody J. Patterson,et al.  Late Holocene Land Use in the Nutzotin Mountains: Lithic Scatters, Viewsheds, and Resource Distribution , 2009, ARCTIC ANTHROPOLOGY.

[24]  A. Bevan The rural landscape of neopalatial Kythera: A GIS perspective , 2002 .

[25]  Philippe Crombé,et al.  Hunter-gatherer responses to environmental change during the Pleistocene-Holocene transition in the southern North Sea basin: final Palaeolithic-Final Mesolithic land use in northwest Belgium , 2011 .

[26]  C. Tilley,et al.  A Phenomenology of Landscape: Places, Paths and Monuments , 1994 .

[27]  Brian D. Bue,et al.  Automated classification of landforms on Mars , 2006, Comput. Geosci..

[28]  R. J. Pike,et al.  Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature , 2007 .

[29]  Andrew Nelson,et al.  Geomorphometry in ESRI packages , 2009 .

[30]  T. Hengl,et al.  Geomorphometry: Concepts, software, applications , 2009 .

[31]  Brian H. Aukema,et al.  Incoming! Association of landscape features with dispersing mountain pine beetle populations during a range expansion event in western Canada , 2011, Landscape Ecology.

[32]  P. Giles,et al.  Geomorphological signatures: classification of aggregated slope unit objects from digital elevation and remote sensing data , 1998 .

[33]  Peter van Oosterom,et al.  Computers, Environment and Urban Systems , 2009 .

[34]  Sara Fairén-Jiménez British Neolithic Rock Art in its Landscape , 2007 .

[35]  A. Bevan,et al.  GIS, Archaeological Survey, and Landscape Archaeology on the Island of Kythera, Greece , 2002 .

[36]  Kevin McGarigal,et al.  Surface metrics: an alternative to patch metrics for the quantification of landscape structure , 2009, Landscape Ecology.

[37]  T. Weber Maximum entropy modeling of mature hardwood forest distribution in four U.S. states , 2011 .

[38]  Tomislav Hengl,et al.  Supervised Landform Classification to Enhance and Replace Photo‐Interpretation in Semi‐Detailed Soil Survey , 2003 .

[39]  Richard J. Harper,et al.  Site assessment of a woody crop where a shallow hardpan soil layer constrained plant growth , 2006, Plant and Soil.

[40]  Malcolm K. Hughes,et al.  Topographically modified tree-ring chronologies as a potential means to improve paleoclimate inference , 2011 .

[41]  Thomas Stieglitz,et al.  Mapping reef features from multibeam sonar data using multiscale morphometric analysis , 2009 .

[42]  D. Wright,et al.  A Benthic Terrain Classification Scheme for American Samoa , 2006 .

[43]  S. Weiss,et al.  GLM versus CCA spatial modeling of plant species distribution , 1999, Plant Ecology.

[44]  Corinne Roughley Understanding the Neolithic Landscape of the Carnac Region: A GIS Approach , 2001 .

[45]  D. Wright,et al.  Introduction to the Special Issue: Marine and Coastal GIS for Geomorphology, Habitat Mapping, and Marine Reserves , 2008 .

[46]  Anthony Lehmann,et al.  Spatial Predictions of Extreme Wind Speeds over Switzerland Using Generalized Additive Models , 2009 .

[47]  Marc Van Meirvenne,et al.  Multivariate geostatistics for the predictive modelling of the surficial sand distribution in shelf seas , 2006 .

[48]  M. Llobera Building Past Landscape Perception With GIS: Understanding Topographic Prominence , 2001 .

[49]  G. Illés,et al.  Comparing and evaluating digital soil mapping methods in a Hungarian forest reserve , 2011, Canadian Journal of Soil Science.

[50]  L. H. Cammeraat,et al.  Identification of vulnerable areas for gully erosion under different scenarios of land abandonment in Southeast Spain , 2007 .

[51]  Y. Deng,et al.  New trends in digital terrain analysis: landform definition, representation, and classification , 2007 .

[52]  R. A. MacMillan,et al.  A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic , 2000, Fuzzy Sets Syst..

[53]  Şermin Tağil,et al.  GIS-Based Automated Landform Classification and Topographic, Landcover and Geologic Attributes of Landforms Around the Yazoren Polje, Turkey , 2008 .

[54]  Songlin Fei,et al.  Spatial habitat modeling of American chestnut at Mammoth Cave National Park , 2007 .

[55]  D. Renison,et al.  Factors associated with woody alien species distribution in a newly invaded mountain system of central Argentina , 2011, Biological Invasions.

[56]  J. D. Reu Land of the dead: a comprehensive study of the Bronze Age burial landscape in north-western Belgium , 2012 .

[57]  R. Hanlon,et al.  Seafloor mapping and landscape ecology analyses used to monitor variations in spawning site preference and benthic egg mop abundance for the California market squid (Doryteuthis opalescens) , 2011 .

[58]  Philippe De Maeyer,et al.  Measuring the relative topographic position of archaeological sites in the landscape, a case study on the Bronze Age barrows in northwest Belgium , 2011 .

[59]  Aurélie Coulon,et al.  Inferring the effects of landscape structure on roe deer (Capreolus capreolus) movements using a step selection function , 2008, Landscape Ecology.

[60]  Erica Morris,et al.  Recent Advances in Automated Genus-specific Marine Habitat Mapping Enabled by High-resolution Multibeam Bathymetry , 2005 .

[61]  J. Squires,et al.  Hierarchical Den Selection of Canada Lynx in Western Montana , 2008 .

[62]  Andrew D. Weiss Topographic position and landforms analysis , 2001 .

[63]  IllésGábor,et al.  Comparing and evaluating digital soil mapping methods in a Hungarian forest reserve , 2011 .

[64]  Libing Yang,et al.  Predicting the wetland distributions under climate warming in the Great Xing’an Mountains, northeastern China , 2011, Ecological Research.

[65]  Using ARC / GRID to Calculate Topographic Prominence in an Archaeological Landscape , 2003 .

[66]  Hong S. He,et al.  Integration of Satellite Imagery and Forest Inventory in Mapping Dominant and Associated Species at a Regional Scale , 2009, Environmental management.

[67]  Jonas Berking,et al.  Runoff in two semi‐arid watersheds in a geoarcheological context: A case study of Naga, Sudan, and Resafa, Syria , 2010 .

[68]  Stephen J. Ventura,et al.  Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley, Wisconsin , 1997 .

[69]  A. Bolongaro-Crevenna,et al.  Geomorphometric analysis for characterizing landforms in Morelos State, Mexico , 2005 .

[70]  Philippe De Maeyer,et al.  Digital Elevation Model generation for historical landscape analysis based on LiDAR data, a case study in Flanders (Belgium) , 2011, Expert Syst. Appl..

[71]  M. Lubczynski,et al.  Topsoil thickness prediction at the catchment scale by integration of invasive sampling, surface geophysics, remote sensing and statistical modeling , 2011 .