Topographic controls on evolution of shallow landslides in pastoral Wairarapa, New Zealand, 1979-2003.

Abstract This study aims to identify topographic influence on shallow landslides and their evolution during 1979–2003 in the pastoral lower North Island, New Zealand. Landslide-affected sites were mapped from aerial photographs and an ASTER satellite image. The two landslide maps were overlaid in a geographic information system (ArcGIS) to detect the changes that have taken place in landslide-affected areas. The change map and the landslide distribution maps were overlaid with three topographic layers of slope gradient, slope position, and slope aspect that had been derived from a digital elevation model in ArcGIS. The overlay analysis revealed that landslides-affected area increased from 23.75 ha in 1979 to 110.97 ha in 2003. The distribution of landslide-affected sites is inversely correlated with slope gradient, but positively with slope position. Northern aspects are the most vulnerable to landsliding, containing about 78% of the total affected sites. Moderate slope gradients suffered the most severe landsliding in the lower to middle slopes. The overall magnitude and frequency of landsliding is also related to northern and eastern octants on the moderate slope gradients in the low to moderate slope positions. Although the same topographic setting is conducive to landsliding in both 1979 and 2003, the rate of landsliding varies with topographic setting. Hence, topography is critical not only to landsliding but also to the evolution of sites already affected by landslides. Such an understanding over large spatial scales is possible only with the use of multitemporal remote sensing data and GIS that are able to speed up data collection and analysis.

[1]  R. Bailey,et al.  Soil Slips Related to Vegetation, Topography, and Soil in Southern California , 1969 .

[2]  Hermann Kaufmann,et al.  Potential of Satellite Remote Sensing and GIS for Landslide Hazard Assessment in Southern Kyrgyzstan (Central Asia) , 2005 .

[3]  N. Trustrum,et al.  Regolith changes and pastoral productivity declines following deforestation in steeplands of North Island, New Zealand. , 1990 .

[4]  John R. Dymond,et al.  Validation of a region-wide model of landslide susceptibility in the Manawatu-Wanganui region of New Zealand , 2006 .

[5]  R. Blong Landslide form and hillslope morphology: An example from New Zealand , 1974 .

[6]  Yang Hong,et al.  Use of satellite remote sensing data in the mapping of global landslide susceptibility , 2007 .

[7]  Thomas Glade,et al.  Landslide occurrence as a response to land use change: a review of evidence from New Zealand , 2003 .

[8]  N. Trustrum,et al.  SOIL SLIP EROSION AS A CONSTRAINT TO HILL COUNTRY PASTURE PRODUCTION , 1984 .

[9]  D. P. Kanungo,et al.  An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS , 2004 .

[10]  Thomas Glade,et al.  Establishing the frequency and magnitude of landslide-triggering rainstorm events in New Zealand , 1998 .

[11]  Landslips in Wellington City , 1978 .

[12]  Jay Gao Identification of topographic settings conducive to landsliding from dem in Nelson county, Virginia, U.S.A. , 1993 .

[13]  David Alexander,et al.  A brief survey of GIS in mass-movement studies, with reflections on theory and methods , 2008 .

[14]  J. Nichol,et al.  Satellite remote sensing for detailed landslide inventories using change detection and image fusion , 2005 .

[15]  M. Crozier,et al.  Distribution of landslips in the Wairarapa hill country , 1980 .

[16]  L. Hurni,et al.  Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments , 2005 .

[17]  P. Magliulo,et al.  Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy , 2008 .

[18]  C. Lo,et al.  Micro‐scale modelling of terrain susceptibility to landsliding from a DEM: A GIS approach , 1995 .

[19]  Chiang Wei,et al.  Locating landslides using multi-temporal satellite images , 2004 .

[20]  Saro Lee,et al.  Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea , 2002 .

[21]  F. Mantovani,et al.  Remote sensing techniques for landslide studies and hazard zonation in Europe , 1996 .

[22]  C. F. Lee,et al.  On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong , 2002 .

[23]  N. Trustrum,et al.  Post‐deforestation soil loss from steepland hillslopes in Taranaki, New Zealand , 1993 .

[24]  N. W. Park,et al.  Quantitative assessment of landslide susceptibility using high‐resolution remote sensing data and a generalized additive model , 2008 .