High‐resolution mapping of Manawatu palaeochannels

Re, Giulia Lo; Fuller, Ian C.; Sofia, Giulia; Tarolli, Paolo

doi:10.1111/nzg.12186

Cited by 8 publications

(3 citation statements)

References 67 publications

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“…In the last decade, a range of new remote sensing techniques led to a dramatic increase in terrain information, providing new opportunities for a better understanding of Earth surface geomorphic signatures (Tarolli 2014). Many recent studies proved the reliability of LiDAR (Light Detection and Ranging) technology, both aerial and terrestrial, in many disciplines concerned with Earth surface representation and modelling (Booth et al 2009;Lin et al 2013;Sofia et al 2014a,b;Lo Re et al 2018). In terraced landscapes, high-resolution LiDAR data can be useful.…”

Section: Monitoringmentioning

confidence: 99%

Terraced Landscapes: Land Abandonment, Soil Degradation, and Suitable Management

Tarolli¹,

Rizzo²,

Brancucci³

2018

Environmental History

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Agricultural terraces are among the most visible and extensive human signatures on different landscapes of the world. Terraces are generally built to retain soil and water, to reduce erosion, and to support irrigation. They reduce slope gradient and length, and facilitate the infiltration of water in areas with a moderate to low soil permeability by controlling the overland flow velocity. Thereby, they create positive effects on agricultural activities. Since ancient times, agricultural terraces have been built in different topographic conditions (e.g. coastal area, hilly, and steep slope mountain landscapes) and used for the cultivation of various crops (e.g. vineyards, fruit and olive groves, cereals, tea). Their management however arises relevant critical issues. Historical terraces are often of the bench type with stone walls and require adequate maintenance. Poorly designed and controlled terraces can lead to slope failures, often due to walls collapsing, increasing potential soil water erosion. Also, terraced areas are often served by agricultural roads that can profoundly influence surface hydrologic processes and erosion. Land abandonment and ageing of the local population, which affected several regions of the world during the last decades, are among the main reasons for the poor maintenance of terraced landscapes. As a consequence, a progressive increase of land degradation and loss of soil functions (e.g. food production, environmental interaction such as water storage, filtering and transformation, biological habitat, physical and cultural heritage) is observed. The purpose of this chapter is to highlight the main critical issues of terraced landscapes, providing a few case studies, and a possible solution for proper long-term management.

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Section: Monitoringmentioning

confidence: 99%

Terraced Landscapes: Land Abandonment, Soil Degradation, and Suitable Management

Tarolli¹,

Rizzo²,

Brancucci³

2018

Environmental History

Self Cite

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“…development of a landscape/terrain using temporal changes in visibility graphs produced on multitemporal LiDAR data [19]. -Application in LiDAR derived high-resolution topography for landform recognition and analysis [20]. -Comparison of visibility graphs with other techniques for analysing terrain texture [21] or landform recognition, such as for landslides [22].…”

Section: Discussionmentioning

confidence: 99%

New Method of Visibility Network and Statistical Pattern Network Recognition Usage in Terrain Surfaces

Babič

Huber

Bielecka

et al. 2019

Materials and Geoenvironment

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Many problems in the analysis of natural terrain surface shapes and the construction of terrain maps to model them remain unsolved. Almost the whole process of thematic interpretation of aerospace information consists of a step-by-step grouping and further data conversion for the purpose of creating a completely definite, problematically oriented picture of the earth's surface. In this article, we present application of a new method of drawing 3D visibility networks for pattern recognition and its application on terrain surfaces. For the determination of complexity of 3D surface terrain, we use fractal geometry method. We use algorithm for constructing the visibility network to analyse the topological property of networks used in complex terrain surfaces. Terrain models give a fast overview of a landscape and are often fascinating and overwhelmingly beautiful works by artists who invest all their interest and an immense amount of work and know-how, combined with a developed sense of the portrayed landscape, in creating them. At the end, we present modelling of terrain surfaces with topological properties of the visibility network in 3D space.

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“…This paper focuses on HSF derived automatically from Lidar DTMs 112,113 (Supplement, Chapt 1.2, Dataset S2). The proposed lidar-based algorithm uses a statistical approach to delineate threshold landscape curvatures [114][115][116] for defining the hydrologic floodplain where the river can flow (overall valley shape) 98,112,113,117 , and thresholds of local curvature for defining homogeneous reaches along the river and to measure their bankfull width.…”

Section: Methodsmentioning

confidence: 99%

Floods and rivers: a circular causality perspective

Sofia

Nikolopoulos

2020

Sci Rep

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An improved understanding of changes in flood hazard and the underlying driving mechanisms is critical for predicting future changes for better adaptation strategies. While recent increases in flooding across the world have been partly attributed to a range of atmospheric or landscape drivers, one oftenforgotten driver of changes in flood properties is the variability of river conveyance capacity. This paper proposes a new framework for connecting flood changes to longitudinal variability in river conveyance, precipitation climatology, flows and sediment connectivity. We present a first step, based on a regional analysis, towards a longer-term research effort that is required to decipher the circular causality between floods and rivers. The results show how this system of interacting units in the atmospheric, hydrologic and geomorphological realm function as a nonlinear filter that fundamentally alters the frequency of flood events. To revise and refine our estimation of future flood risk, this work highlights that multidriver attribution studies are needed, that include boundary conditions such as underlying climate, water and sediment connectivity, and explicit estimations of river conveyance properties. Flooding poses an ever-present economic, societal 1,2 and environmental 3 risk that is likely to increase in the future 4-8. An improved understanding of historical changes in flood hazard and the underlying driving mechanisms is, therefore, critical for predicting future changes for better adaptation strategies. Flood estimation and flood management have traditionally been based on flood frequency analysis, following traditional stationary or non-stationary flood distributions accounting for shifts in flood extremes, climate and scale 9-14. Recent accelerations in population growth, together with changes in the economy and land use patterns have also underlined how humans contribute to the complexity of the flood-river system 15 , as they are inextricably linked to water resources, and are active agents in altering atmosphere, hydrology and geomorphology 16-21. Nonetheless, while individual attribution studies linking either atmospheric or landscape drivers to floods are valuable, many times they fail to consider that massive channels widening or narrowing have been recorded 22,23. These changes in river conveyance are driven by the interactions between hydrology, geomorphology, atmospheric drivers, and human activities, and by the interdependencies of processes at different spatiotemporal scales 24-37. Changes in channel geometry at short and intermediate time scales (1 to 100 years) have clear relevance for flood hazard prediction 38. Fluvial systems function in feedback loops, where processes and their alteration influence one another (Fig. 1), and the cycle may either amplify or reset, continuing over time. Changes in river conveyance capacity do not impact the amount of water that flows through the river system during a flood, but they have a bearing on the probability of a flood event overtopping the ban...

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High‐resolution mapping of Manawatu palaeochannels

Cited by 8 publications

References 67 publications

Terraced Landscapes: Land Abandonment, Soil Degradation, and Suitable Management

Terraced Landscapes: Land Abandonment, Soil Degradation, and Suitable Management

New Method of Visibility Network and Statistical Pattern Network Recognition Usage in Terrain Surfaces

Floods and rivers: a circular causality perspective

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