Airborne and Terrestrial Laser Scanning Data for the Assessment of Standing and Lying Deadwood: Current Situation and New Perspectives

Marchi, Niccolò; Pirotti, Francesco; Lingua, Emanuele

doi:10.3390/rs10091356

Cited by 46 publications

(43 citation statements)

References 120 publications

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“…For the lidar-only scenario we found an increase in total CDW in the intact forests with increasing values of the 75th percentile of last returns, a metric related to the overall increase in both canopy and understory height and a correlate of total biomass. Our results are consistent with Chao et al (2009), who also found a weak correlation between total CDW and live biomass, whereas Martins et al (2015) related CDW stocks to mean biomass per tree. Logging and fire differentially affected CDW in Amazonian degraded forests.…”

Section: Land Use Equationsupporting

confidence: 92%

“…Hayek et al (2018) found 61.0 ± 14.8 Mg ha −1 of CDW stock in the Tapajós National Forest (51.3 ± 18.8 Mg ha −1 from this study). Martins et al (2015) reported a range of 6.7-72.9 Mg ha −1 of CDW stock in the Reserva Adolpho Ducke (mean of 41.6 and range of 22-60 Mg ha −1 from this study). Keller et al (2004) found an average of 55.2 ± 4.7 and 74.7 ± 0.6 Mg ha −1 of fallen CDW in an intact and logged site, respectively, at Fazenda Cauaxi (54.2±8.8 and 84.6±27.5 Mg ha −1 from this study).…”

Section: Land Use Equationsupporting

confidence: 46%

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Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar

et al. 2019

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Coarse dead wood is an important component of forest carbon stocks, but it is rarely measured in Amazon forests and is typically excluded from regional forest carbon budgets. Our study is based on line intercept sampling for fallen coarse dead wood conducted along 103 transects with a total length of 48 km matched with forest inventory plots where standing coarse dead wood was measured in the footprints of larger areas of airborne lidar acquisitions. We developed models to relate lidar metrics and Landsat time series variables to coarse dead wood stocks for intact, logged, burned, or logged and burned forests. Canopy characteristics such as gap area produced significant individual relations for logged forests. For total fallen plus standing coarse dead wood (hereafter defined as total coarse dead wood), the relative root mean square error for models with only lidar metrics ranged from 33 % in logged forest to up to 36 % in burned forests. The addition of historical information improved model performance slightly for intact forests (31 % against 35 % relative root mean square error), not justifying the use of a number of disturbance events from historical satellite images (Landsat) with airborne lidar data. Lidarderived estimates of total coarse dead wood compared favorably with independent ground-based sampling for areas up to several hundred hectares. The relations found between total coarse dead wood and variables quantifying forest structure derived from airborne lidar highlight the opportunity to quantify this important but rarely measured component of forest carbon over large areas in tropical forests.

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Section: Land Use Equationsupporting

confidence: 92%

Section: Land Use Equationsupporting

confidence: 46%

Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar

et al. 2019

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“…LidR is a module also dedicated to lidar forestry applications [61,62]. Latest version to the time of writing (2.1) provides methods for reading LAS and LAZ formats, for ground classification, tree segmentation and extraction of descriptive metrics for further analyses.…”

Section: R-cran Modulesmentioning

confidence: 99%

Open software and standards in the realm of laser scanning technology

Pirotti

2019

Open geospatial data, softw. stand.

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This review aims at introducing laser scanning technology and providing an overview of the contribution of open source projects for supporting the utilization and analysis of laser scanning data. Lidar technology is pushing to new frontiers in mapping and surveying topographic data. The open source community has supported this by providing libraries, standards, interfaces, modules all the way to full software. Such open solutions provide scientists and end-users valuable tools to access and work with lidar data, fostering new cutting-edge investigation and improvements of existing methods. The first part of this work provides an introduction on laser scanning principles, with references for further reading. It is followed by sections respectively reporting on open standards and formats for lidar data, tools and finally webbased solutions for accessing lidar data. It is not intended to provide a thorough review of state of the art regarding lidar technology itself, but to provide an overview of the open source toolkits available to the community to access, visualize, edit and process point clouds. A range of open source features for lidar data access and analysis is provided, providing an overview of what can be done with alternatives to commercial end-to-end solutions. Data standards and formats are also discussed, showing what are the challenges for storing and accessing massive point clouds. The desiderata are to provide scientists that have not yet worked with lidar data an overview of how this technology works and what open source tools can be a valid solution for their needs in analysing such data. Researchers that are already involved with lidar data will hopefully get ideas on integrating and improving their workflow through open source solutions.

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“…It means that a tree will mask out e.g. other trees or buildings, and this effect is more enhanced when the branches and leaves are dense and complex (Marchi et al, 2018). This can be avoided by several TLS scanning position sites from different perspectives (Yang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

A review of climatic and vegetation surveys in urban environment with laser scanning: A literature-based analysis

Szabó¹,

Schlosser²,

Túri³

et al. 2019

Geographica Pannonica

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Laser scanning is a promising relatively new technology of land surveying and has different contributions to research areas and practical applications. We performed a review based on query terms in the Scopus database. We determined the number of papers where the laser scanning was the technique of the survey and refined the results with the aerial (ALS) and terrestrial (TLS) laser scanning methods, and the urban and vegetation searching terms. Results showed that geosciences had a 30-40% ratio within the scientific papers using LiDAR. TLS had larger relevance related to ALS considering the total number of research papers, urban application and vegetation analysis in urban environment. We analysed the current status of the technology and discussed the underlying possible causes.

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Airborne and Terrestrial Laser Scanning Data for the Assessment of Standing and Lying Deadwood: Current Situation and New Perspectives

Cited by 46 publications

References 120 publications

Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar

Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar

Open software and standards in the realm of laser scanning technology

A review of climatic and vegetation surveys in urban environment with laser scanning: A literature-based analysis

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