Editorial for the Special Issue “Forestry Applications of Unmanned Aerial Vehicles (UAVs)”

Matese, Alessandro

doi:10.3390/f11040406

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…Despite the technological advancement in computer systems (Zanin et al 2016) and equipment for evaluating and monitoring forest resources (Matese 2020), there is still the need to incorporate new approaches that efficiently generate supporting information for the planning of forest management programs. New methods should facilitate and strengthen decisionmaking processes associated with the sustainable use of forest resources.…”

Section: Introductionmentioning

confidence: 99%

Complex networks, an innovative methodology for functional zoning in forest management

Serrano-Ramírez¹,

Valdez-Lazalde²,

Mora-Gutiérrez³

et al. 2022

iForest

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Forest management planning requires a permanent collection of data on the distribution, composition, and structure of the stands that conform a woodland. These data serve as the basis for suggesting the most appropriate management scheme according to the natural resource conditions and management objectives. It is common for the collected databases' structure and dimension to hinder their analysis using traditional descriptive techniques. Therefore, alternative methodologies are required to facilitate both the exploration of data properties and their collective behavior. We used complex networks analysis to identify distribution patterns of topographic, biological, and productive conditions of a managed forest, suggesting its functional zoning. The forest was considered a graph consisting of nodes and edges; the stands served as nodes and interactions between them as edges. Degree, clustering coefficient, triangles, and modularity were used as segregation and connectivity metrics to evaluate forest properties and allocate stands to five predefined potential forest uses (zones). The clustering coefficient metric provided the better graph partition, allowing to obtain the best alternatives for zoning the forest in conservation areas, areas with potential for timber production, and carbon storage. Proposing forest functional zoning through complex network theory is a powerful methodological option to represent the spatial and nonspatial interactions among the relevant attributes defining a forest ecosystem condition.

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Section: Introductionmentioning

confidence: 99%

Complex networks, an innovative methodology for functional zoning in forest management

Serrano-Ramírez¹,

Valdez-Lazalde²,

Mora-Gutiérrez³

et al. 2022

iForest

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Tracking deformation velocity via PSI and SBAS as a sign of landslide failure: an open-pit mine-induced landslide in Himmetoğlu (Bolu, NW Turkey)

Eker,

Aydın,

Görüm

2024

Nat Hazards

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A destructive landslide occurred in Himmetoğlu village in Göynük District (Bolu, NW Turkey) caused by open-pit coal mining activities. Field observations after the landslide failure and interviews with villagers motivated us to question the possibility of using satellite SAR data to detect precursory signs of failure with regard to deformation velocity. In this study, first, landslide deformations were mapped by applying the digital elevation model (DEM) of Difference (DoD) method using DEMs from aerial photography and UAV data. However, the primary aim was to track deformation velocity as a sign of landslide failure with persistent scatterers interferometry (PSI) and small baseline subset (SBAS) methods from Sentinel-1A data. For the SBAS, the deformation velocity for ascending and descending orbits varied between − 12 and 39 mm year−1 and between − 24 and 6 mm year−1, respectively. For the PSI, the deformation velocity for ascending and descending orbits varied between − 16 and 31 mm year−1 and between − 18 and 20 mm year−1, respectively. PSI and SBAS resulted in sharply changing line-of-sight displacement rates, which were interpreted as slope failure signs, from three months prior to the landslide. In addition, higher deformation velocities were observed in locations closer to landslide crack as expected. Based on our findings, we concluded that SAR interferometric time-series analysis have the makings of being used as a suitable approach in early discerning and avoiding potential slope failures in open-pit mining areas, when it is made carefully by observing the progress in mining activities by considering the other factors such as rainfall and earthquakes.

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Drones as functional parts of physical-cyber eco-systems

Tagarakis,

Benos,

Kateris

et al. 2023

Unmanned Aerial Systems in Agriculture

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Editorial for the Special Issue “Forestry Applications of Unmanned Aerial Vehicles (UAVs)”

Cited by 6 publications

References 9 publications

Complex networks, an innovative methodology for functional zoning in forest management

Complex networks, an innovative methodology for functional zoning in forest management

Tracking deformation velocity via PSI and SBAS as a sign of landslide failure: an open-pit mine-induced landslide in Himmetoğlu (Bolu, NW Turkey)

Drones as functional parts of physical-cyber eco-systems

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