Digital stereovision system for dendrometry, georeferencing and data management

Costa, Corrado; Figorilli, Simone; Proto, Andrea Rosario; Colle, Giacomo; Sperandio, Giulio; Gallo, Pietro; Antonucci, Francesca; Pallottino, Federico; Menesatti, Paolo

doi:10.1016/j.biosystemseng.2018.07.003

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…While timber production (usually evaluated as wood volume [13]) used to be the primary forest management's objective (about 1.53 billion m 3 per year in 2011) [14], some studies recognize the role of managed forests in contributing to carbon sequestration [15]. Forest management may enhance C sequestration in managed forest ecosystems [16,17] and optimize sink strength by using biofuels as substitutes for fossil fuels [3,18,19], while continuing to meet the timber demand of society [15].…”

Section: Introductionmentioning

confidence: 99%

Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production

Soriano‐Luna

Ángeles‐Pérez

Guevara

et al. 2018

Forests

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The proper estimation of above-ground biomass (AGB) stocks of managed forests is a prerequisite to quantifying their role in climate change mitigation. The aim of this study was to analyze the spatial variability of AGB and its uncertainty between actively managed pine and unmanaged pine-oak reference forests in central Mexico. To investigate the determinants of AGB, we analyzed variables related to forest management, stand structure, topography, and climate. We developed linear (LM), generalized additive (GAM), and Random Forest (RF) empirical models to derive spatially explicit estimates and their uncertainty, and compared them. AGB was strongly influenced by forest management, as LiDAR-derived stand structure and stand age explained 80.9% to 89.8% of its spatial variability. The spatial heterogeneity of AGB varied positively with stand structural complexity and age in the managed forests. The type of predictive model had an impact on estimates of total AGB in our study site, which varied by as much as 19%. AGB densities varied from 0 to 492 ± 17 Mg ha−1 and the highest values were predicted by GAM. Uncertainty was not spatially homogeneously distributed and was higher with higher AGB values. Spatially explicit AGB estimates and their association with management and other variables in the study site can assist forest managers in planning thinning and harvesting schedules that would maximize carbon stocks on the landscape while continuing to provide timber and other ecosystem services. Our study represents an advancement toward the development of efficient strategies to spatially estimate AGB stocks and their uncertainty, as the GAM approach was used for the first time with improved results for such a purpose.

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Section: Introductionmentioning

confidence: 99%

Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production

Soriano‐Luna

Ángeles‐Pérez

Guevara

et al. 2018

Forests

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“…Recently, Costa et al [103] tested a smart, cost-effective, mobile stereovision system for in-field estimation of dendrometry parameters (i.e., heights and diameters). The use of smartphones already allowed the introduction of the use of blockchain technology for the electronic traceability of wood from standing tree to final user.…”

Section: A Little Focus On Smartphones Applicationsmentioning

confidence: 99%

Recent Contributions of Some Fields of the Electronics in Development of Forest Operations Technologies

et al. 2019

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In the last years, there has been a growing need to improve forest-wood chain concerning all three pillars of sustainability (economic, environmental, and social). Using electronic systems, in particular GIS, GNSS, and various kinds of sensors related to forest harvesting, is clearly one of the most powerful instruments to reach this aim. The contribution of these tools to forest operation is wide and various. One of the most important application was integrating ICT and GPS/GNSS on-board systems on modern forest machines. This allowed one to ensure multiple benefits to forest operation field. On the one hand, electronic systems, and particularly GIS, could be used to improve forest harvesting with a previous planning of the skid trails network, in order to minimize utilization impacts and risks for operators, ensuring at the same time high work productivity. Moreover, GIS developed files could also be implemented in modern forest machine GPS/GNSS systems, helping forest machines operators to move only along a designed skid trails network or making it possible to avoid restricted access areas. On the other hand, modern forest machines could be equipped with complex and accurate sensors that are able to determine, register, and share information about wood biomass quantity and quality and even undertake economic evaluation of stumpage value. Finally, the input and output of these systems and sensors could be implemented in a decision support system (DSS) ensuring the best silvicultural and operative alternative from a sustainable forest management point of view. A detailed review of the contribution of electronics in the development of forest operations is provided here.

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“…The use of precision forestry (PF) in Italy can be classified with reference to five specific areas of application [3]: i) monitoring and evaluation of forest resources; ii) decision support for forest management; iii) cultivation of wood plantations; iv) forest uses; v) traceability of forest products. The application of PF consists of a series of applications ranging from the use of GPS in the operating machines [4], GIS systems are used for the analysis and monitoring of operation planning [5], execution of wood material handling activities such as wood and stand measurement [6] and potentially in the use of sensors for monitoring the behavior of trees subject to external forces [7].…”

Section: Introductionmentioning

confidence: 99%

Development of device based on open-source electronics platform for monitoring of cable-logging operations

Lezier

Cadei

Mologni

et al. 2019

Engineering for Rural Development

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This work presents the development and testing of a prototype based on Arduino® board that aims to collect information on cable-logging operations based on the monitoring of motion and inclination of carriage of a cable logging system. In detail, a GNSS sensor obtains the information of the position, meanwhile an accelerometer combined with a gyroscope registers tilt and vibration information. Type and timing of phases that compose a working cycle are obtained by an automatic procedure. The results are compared with a video acquisition taken as reference. The prototype has partially accomplished the main objective: the work cycle has always been recorded with a high precision, whereas the detection of the timing of operational phases observed some limitations in accuracy.

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Digital stereovision system for dendrometry, georeferencing and data management

Cited by 8 publications

References 20 publications

Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production

Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production

Recent Contributions of Some Fields of the Electronics in Development of Forest Operations Technologies

Development of device based on open-source electronics platform for monitoring of cable-logging operations

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