Slope control on the frequency distribution of shallow landslides and associated soil properties, North Island, New Zealand

Rose, Ronald C. De

doi:10.1002/esp.3283

Cited by 52 publications

(20 citation statements)

References 44 publications

(166 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This was done to increase the transferability of the method across the panchromatic images from 1997, 1979, and 1944. For the detection of potential landslide objects, this brightness/panchromatic layer was mostly used, since landslides usually appear brighter than their immediate surroundings on optical images due to the exposure of bare ground [4,33,40]. Next to the mean brightness values of the image objects, the spectral difference between landslide objects and their neighbors was considered.…”

Section: Landslide Mapping Resultsmentioning

confidence: 99%

“…For catchment-to farm-scale applications, however, manual image interpretation and mapping has to date been the most-used method for accurately identifying and mapping landsliding, but it is a very slow and tedious process and is thus limited to studies of relatively small areas and can be difficult to implement in practice. In addition, the quality of the resulting landslide maps depends on the experience of the investigator, the purpose of the mapping, the scale, and the data used [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identifying Spatio-Temporal Landslide Hotspots on North Island, New Zealand, by Analyzing Historical and Recent Aerial Photography

et al. 2016

View full text Add to dashboard Cite

Accurate mapping of landslides and the reliable identification of areas most affected by landslides are essential for advancing the understanding of landslide erosion processes. Remote sensing data provides a valuable source of information on the spatial distribution and location of landslides. In this paper we present an approach for identifying landslide-prone "hotspots" and their spatio-temporal variability by analyzing historical and recent aerial photography from five different dates, ranging from 1944 to 2011, for a study site near the town of Pahiatua, southeastern North Island, New Zealand. Landslide hotspots are identified from the distribution of semi-automatically detected landslides using object-based image analysis (OBIA), and compared to hotspots derived from manually mapped landslides. When comparing the overlapping areas of the semi-automatically and manually mapped landslides the accuracy values of the OBIA results range between 46% and 61% for the producer's accuracy and between 44% and 77% for the user's accuracy. When evaluating whether a manually digitized landslide polygon is only intersected to some extent by any semi-automatically mapped landslide, we observe that for the natural-color images the landslide detection rate is 83% for 2011 and 93% for 2005; for the panchromatic images the values are slightly lower (67% for 1997, 74% for 1979, and 72% for 1944). A comparison of the derived landslide hotspot maps shows that the distribution of the manually identified landslides and those mapped with OBIA is very similar for all periods; though the results also reveal that mapping landslide tails generally requires visual interpretation. Information on the spatio-temporal evolution of landslide hotspots can be useful for the development of location-specific, beneficial intervention measures and for assessing landscape dynamics.

show abstract

Section: Landslide Mapping Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identifying Spatio-Temporal Landslide Hotspots on North Island, New Zealand, by Analyzing Historical and Recent Aerial Photography

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Better drainage conditions present in convex slope could have favored the development of this horizon. The comparison of the top to mid and mid to lower slope positions suggest that erosion and redistribution due to topographic position significantly affected all soil profiles [7,22]. Along the slope the horizon thicknesses demonstrated significant changes due to topography.…”

Section: Discussionmentioning

confidence: 99%

Slope gradient and shape effects on soil profiles in the northern mountainous forests of Iran

et al. 2016

View full text Add to dashboard Cite

In order to obtain some measurements of the original variability of the soil profiles at two shapes (concave and convex) and five positions (summit, shoulder, back slope, footslope and toeslope) of slope, a study of a virgin area was made in a Beech stand of mountain forests, northern Iran. Across the slope positions, the soil profiles demonstrate significant changes due to topography for two shape slopes. The solum depth of convex slope was higher than the concave one in all five positions and it decreases from the summit to shoulder and increases from the mid to lower slope positions for both convex and concave slopes. The thin solum at the upper positions and concave slope demonstrates that pedogenetic development is least at upper slope positions and concave slope where leaching and biomass productivity are less than at lower slopes and concave slope. A large decrease in the thickness of O and A horizon from summit to back slope was noted for both concave and convex slopes, but it increased from back slope toward down slope for both of them. The average thickness of B horizons increased from summit to down slopes in the case of concave slope, but in the case of convex slope it decreased from summit to shoulder and afterwards it increased to the down slope. The thicknesses of different horizons vary in part in different position and shape slope because they have different plant species cover and soil features which are related to topography.

show abstract

“…They may also correspond to episodic changes within given land uses, especially changes related to accelerated erosion under agricultural land use (e.g. van Oost et al, 2007;Quinton et al, 2010;de Rose, 2013). Observational verification of annual changes of the order of 0.4 % yr −1 is extremely difficult owing to the many important factors that may positively or negatively affect soil carbon levels under different circumstances and over different timescales (e.g.…”

Section: Soil Organic Carbonmentioning

confidence: 99%

Towards a more complete quantification of the global carbon cycle

et al. 2019

View full text Add to dashboard Cite

Abstract. The main components of global carbon budget calculations are the emissions from burning fossil fuels, cement production, and net land-use change, partly balanced by ocean CO2 uptake and CO2 increase in the atmosphere. The difference between these terms is referred to as the residual sink, assumed to correspond to increasing carbon storage in the terrestrial biosphere through physiological plant responses to changing conditions (ΔBphys). It is often used to constrain carbon exchange in global earth-system models. More broadly, it guides expectations of autonomous changes in global carbon stocks in response to climatic changes, including increasing CO2, that may add to, or subtract from, anthropogenic CO2 emissions. However, a budget with only these terms omits some important additional fluxes that are needed to correctly infer ΔBphys. They are cement carbonation and fluxes into increasing pools of plastic, bitumen, harvested-wood products, and landfill deposition after disposal of these products, and carbon fluxes to the oceans via wind erosion and non-CO2 fluxes of the intermediate breakdown products of methane and other volatile organic compounds. While the global budget includes river transport of dissolved inorganic carbon, it omits river transport of dissolved and particulate organic carbon, and the deposition of carbon in inland water bodies. Each one of these terms is relatively small, but together they can constitute important additional fluxes that would significantly reduce the size of the inferred ΔBphys. We estimate here that inclusion of these fluxes would reduce ΔBphys from the currently reported 3.6 GtC yr−1 down to about 2.1 GtC yr−1 (excluding losses from land-use change). The implicit reduction in the size of ΔBphys has important implications for the inferred magnitude of current-day biospheric net carbon uptake and the consequent potential of future biospheric feedbacks to amplify or negate net anthropogenic CO2 emissions.

show abstract

Slope control on the frequency distribution of shallow landslides and associated soil properties, North Island, New Zealand

Cited by 52 publications

References 44 publications

Identifying Spatio-Temporal Landslide Hotspots on North Island, New Zealand, by Analyzing Historical and Recent Aerial Photography

Identifying Spatio-Temporal Landslide Hotspots on North Island, New Zealand, by Analyzing Historical and Recent Aerial Photography

Slope gradient and shape effects on soil profiles in the northern mountainous forests of Iran

Towards a more complete quantification of the global carbon cycle

Contact Info

Product

Resources

About