The comparison of airborne laser scanning-based probability layers as auxiliary information for assessing coarse woody debris

Pesonen, Annukka; Maltamo, Matti; Kangas, Annika

doi:10.1080/01431160903380607

Cited by 13 publications

(8 citation statements)

References 18 publications

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“…LiDAR-based methods of LWD detection provide an avenue for arriving at information on LWD structure beneath vegetation canopies and without the problem of shadowing. Several studies have either hinted at the potential for LiDAR to detect LWD [15] or used LiDAR to detect a probability of the presence of LWD [16]. Studies that have used LiDAR to directly assess the presence of individual pieces or clumps of LWD have showed some success in forested environments [17][18][19], but these studies examine relatively small areas which limit the interpretation of their accuracy assessments.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris

Richardson

Moskal

2016

Remote Sensing

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Large woody debris (LWD) plays a critical structural role in riparian ecosystems, but it can be difficult and time-consuming to quantify and survey in the field. We demonstrate an automated method for quantifying LWD using aerial LiDAR and object-based image analysis techniques, as well as a manual method for quantifying LWD using image interpretation derived from LiDAR rasters and aerial four-band imagery. In addition, we employ an established method for estimating the number of individual trees within the riparian forest. These methods are compared to field data showing high accuracies for the LWD method and moderate accuracy for the individual tree method. These methods can be integrated to quantify the contemporary and recruitable LWD in a river system.

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Section: Introductionmentioning

confidence: 99%

An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris

Richardson

Moskal

2016

Remote Sensing

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“…Then, it would not be necessary to perform a preliminary study in the area concerned simply for modelling purposes. Pesonen et al (2008b) compared two ALS-based logistic regression models in CWD inventory, and observed that the locally fitted model was slightly better than the other one, but the differences were minimal. If auxiliary information is used in the design phase, problems occur when the relationship between the variable of interest and the auxiliary variables is negative.…”

Section: Discussionmentioning

confidence: 96%

“…Since the ALS-derived height metrics are positively correlated with the height of the tree stock, which in turn is closely correlated with CWD volumes, increasing heights of the ALS hits indicate an increase in CWD volume. The intermediate or upper percentiles of the ALS-derived height metrics have been observed to have a moderate positive correlation with CWD volumes in the inventories of different areas (Pesonen et al, 2008b), and therefore these metrics are good auxiliary variables for use in producing probability layers. The volume of living trees was observed to be the best-correlating variable based on stand-register data.…”

Section: Discussionmentioning

confidence: 98%

“…This was due to the observation by Pesonen et al (2008b) that it was preferable to use the ALS metrics directly to produce the probability layers rather than calculating the grid cell values using logistic or linear regression models, for example.If the observed correlation between the best-correlating auxiliary variable and CWD volume was negative, however, the grid cell values were calculated here by taking the inverse of that variable. This rendered the correlation positive while ensuring that the relative sizes of auxiliary data values remained the same as before the transformation.…”

Section: Producing the Probability Layersmentioning

confidence: 96%

“…The CWD dynamics in managed forests are quite different, however, and the direct use of ALS data for CWD volume prediction in these cases has proved challenging. Thus, ALS data have mainly been used as auxiliary information in CWD inventories in managed forests (Pesonen et al, 2008b). Auxiliary information can be used to improve the costefficiency of sample-based forest inventories, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Effects of auxiliary data source and inventory unit size on the efficiency of sample-based coarse woody debris inventory

Pesonen

Kangas

Maltamo

et al. 2010

Forest Ecology and Management

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Forestry Applications of Airborne Laser Scanning

Maltamo¹,

Næsset²,

Vauhkonen³

2014

Managing Forest Ecosystems

180

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Aims & Scope:Well-managed forests and woodlands are a renewable resource, producing essential raw material with minimum waste and energy use. Rich in habitat and species diversity, forests may contribute to increased ecosystem stability. They can absorb the effects of unwanted deposition and other disturbances and protect neighbouring ecosystems by maintaining stable nutrient and energy cycles and by preventing soil degradation and erosion. They provide much-needed recreation and their continued existence contributes to stabilizing rural communities.Forests are managed for timber production and species, habitat and process conservation. A subtle shift from multiple-use management to ecosystems management is being observed and the new ecological perspective of multi-functional forest management is based on the principles of ecosystem diversity, stability and elasticity, and the dynamic equilibrium of primary and secondary production.Making full use of new technology is one of the challenges facing forest management today. Resource information must be obtained with a limited budget. This requires better timing of resource assessment activities and improved use of multiple data sources. Sound ecosystems management, like any other management activity, relies on effective forecasting and operational control.The aim of the book series Managing Forest Ecosystems is to present state-of-the-art research results relating to the practice of forest management. Contributions are solicited from prominent authors. Each reference book, monograph or proceedings volume will be focused to deal with a specific context. Typical issues of the series are: resource assessment techniques, evaluating sustainability for even-aged and uneven-aged forests, multi-objective management, predicting forest development, optimizing forest management, biodiversity management and monitoring, risk assessment and economic analysis. This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names...

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The comparison of airborne laser scanning-based probability layers as auxiliary information for assessing coarse woody debris

Cited by 13 publications

References 18 publications

An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris

An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris

Effects of auxiliary data source and inventory unit size on the efficiency of sample-based coarse woody debris inventory

Forestry Applications of Airborne Laser Scanning

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