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Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning

Xi Zhu, Andrew K. Skidmore, Tiejun Wang, Jing Liu, Roshanak Darvishzadeh, Yifang Shi, Joe Premier, Marco Heurich
2018 Agricultural and Forest Meteorology  
However, in the DHP retrieved LAI, there is always contribution of woody components due to the difficulty in distinguishing woody and foliar materials.  ...  Terrestrial laser scanning (TLS) provides a 3-dimensional view of the forest canopy, which we used in this study to improve LAI estimation by directly retrieving leaf angle distribution, and subsequently  ...  We thank the Bavarian Forest National Park for supporting the data collection. We acknowledge the support of the "Data Pool Forestry" data-sharing initiative of the Bavarian Forest National Park.  ... 
doi:10.1016/j.agrformet.2018.08.026 fatcat:ijqydhugkbgm5agrqfstzxocaq

A voxel matching method for effective leaf area index estimation in temperate deciduous forests from leaf-on and leaf-off airborne LiDAR data

Xi Zhu, Jing Liu, Andrew K. Skidmore, Joe Premier, Marco Heurich
2020 Remote Sensing of Environment  
The airborne LiDAR has emerged as an effective tool for mapping plant area index (PAI) in a landscape consisting of both woody and leaf materials.  ...  We applied a voxel matching algorithm to estimate eLAI of deciduous forests using simulated and field LiDAR data under leaf-on and leaf-off conditions.  ...  We thank the "Data Pool Forestry" data-sharing initiative of the Bavarian Forest National Park.  ... 
doi:10.1016/j.rse.2020.111696 fatcat:y6w2sozsu5cc3bn4y7ahxsuhea

Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models

Angela Lausch, Stefan Erasmi, Douglas King, Paul Magdon, Marco Heurich
2017 Remote Sensing  
Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances, resource limitations or unsustainable management, causing changes in forest health (FH) at various scales  ...  While direct stressors are a result of forest utilization or land use changes, indirect stress is caused by drivers such as climate change, air pollution and globalization, which in turn may bring about  ...  Ministry of Education and Research.  ... 
doi:10.3390/rs9020129 fatcat:zxyfarzipbaerejj4a3kmp3qca

Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure

S. Frolking, M. W. Palace, D. B. Clark, J. Q. Chambers, H. H. Shugart, G. C. Hurtt
2009 Journal of Geophysical Research  
Shugart, and G. C. Hurtt (2009), Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure,  ...  ., $1 m passive optical/NIR, or small footprint lidar) can map crown geometry and gaps, but has rarely been systematically applied to study small-scale disturbance and natural mortality gap dynamics over  ...  St-Onge et al. [2008] used stereo Ikonos images and airborne lidar data to generate surface elevation models, and converted these to forest height and forest biomass maps for a mixed boreal forest in  ... 
doi:10.1029/2008jg000911 fatcat:uzyww4q6cvh3jcuvql4a47uxri

Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data

Inian Moorthy, John R. Miller, Jose Antonio Jimenez Berni, Pablo Zarco-Tejada, Baoxin Hu, Jing Chen
2011 Agricultural and Forest Meteorology  
Since the introduction of Terrestrial Laser Scanning (TLS) instruments, there now exists a means of rapidly digitizing intricate structural details of vegetation canopies using Light Detection and Ranging  ...  (LiDAR) technology.  ...  In addition, this work was made possible with the financial support of the Natural Sciences and Engineering Research Council (NSERC) and the Canadian Foundation of Innovation (CFI).  ... 
doi:10.1016/j.agrformet.2010.10.005 fatcat:fm56u2oqyjh5ze6bvqdahwbl3i

Close-range laser scanning in forests: towards physically based semantics across scales

F. Morsdorf, D. Kükenbrink, F. D. Schneider, M. Abegg, M. E. Schaepman
2018 Interface Focus  
One contribution of 12 to a theme issue 'The terrestrial laser scanning revolution in forest ecology'.  ...  Using such a combined forward and physically based approach will make methods robust and transferable.  ...  Laser scanning point cloud as obtained by multi-view terrestrial laser scanning in a mature temperate beech forest in leaf-off conditions.  ... 
doi:10.1098/rsfs.2017.0046 pmid:29503725 fatcat:durvze7zcze33jotfspy4xx4ka

Simulating Imaging Spectroscopy in Tropical Forest with 3D Radiative Transfer Modeling

Dav M. Ebengo, Florian de Boissieu, Grégoire Vincent, Christiane Weber, Jean-Baptiste Féret
2021 Remote Sensing  
tropical forest, and to reproduce spectral dissimilarity within and among species, as well as species discrimination based on spectral information.  ...  Optical remote sensing can contribute to biodiversity monitoring and species composition mapping in tropical forests.  ...  We also acknowledge Jean-Philippe Gastellu-Etchegorry, Nicolas Lauret and the DART Team for their advice and support in using the DART model. Thanks to A. Laybros, M. Aubry-Kientz, R. Dutrieux and C.  ... 
doi:10.3390/rs13112120 fatcat:3is2mw5odnffzncy5uffjsoocu

Remote Sensing Technologies for Assessing Climate-Smart Criteria in Mountain Forests [chapter]

Chiara Torresan, Sebastiaan Luyssaert, Gianluca Filippa, Mohammad Imangholiloo, Rachel Gaulton
2021 Managing Forest Ecosystems  
Forest cover, growing stock, abiotic, biotic, and human-induced forest damage, and tree composition indicators can be readily assessed by using established remote sensing techniques.  ...  A set of indicators to assess "the smartness" of forests has been previously identified by combining indicators for sustainable forest management with the ecosystem services.  ...  LiDAR data can also enhance the capability to discriminate forest areas in satellite images, for example, QuickBird imagery (Hilker et al. 2008) and Sentinel-2 images (Fragoso-Campón et al. 2020) ,  ... 
doi:10.1007/978-3-030-80767-2_11 fatcat:5gzjgydxsfd4zgxuagkbi4nirq

Linking Foliar Traits to Belowground Processes [chapter]

Michael Madritch, Jeannine Cavender-Bares, Sarah E. Hobbie, Philip A. Townsend
2020 Remote Sensing of Plant Biodiversity  
Here, we focus on how the productivity and composition of foliar traits in plant communities influence belowground processes such as decomposition and nutrient cycling.  ...  , functional, and phylogenetic diversity (Wang et al. 2019; Schweiger et al. 2018; Gholizadeh et al. 2019) creates new opportunities to observe terrestrial ecosystems.  ...  Using two case studies, one in a clonal aspen (Populus tremuloides) forest system and one in a manipulated grassland biodiversity experiment, we demonstrate that plant foliar traits and vegetation cover  ... 
doi:10.1007/978-3-030-33157-3_8 fatcat:7xpxuc56sfdlfcpci462ljfy2a

Characterizing potential wildland fire fuel in live vegetation in the Mediterranean region

Silvano Fares, Sofia Bajocco, Luca Salvati, Nicolò Camarretta, Jean-Luc Dupuy, Gavriil Xanthopoulos, Mercedes Guijarro, Javier Madrigal, Carmen Hernando, Piermaria Corona
2017 Annals of Forest Science  
Standardization of methodologies and a better understanding of plant attributes and phenological status can improve models for fire management.  ...  & Key message Fuel moisture and chemical content affecting live plant flammability can be measured through laboratory and field techniques, or remotely assessed.  ...  Acknowledgements This paper has been produced under the framework of the project MedWildFireLab ("Global Change Impacts on Wildland Fire Behaviour and Uses in Mediterranean Forest Ecosystems, towards a  ... 
doi:10.1007/s13595-016-0599-5 fatcat:f5llignlsjc73cdzrcuhwpscum

Critical Remote Sensing Contributions to Spatial Wildlife Ecological Knowledge and Management [chapter]

Gregory J. McDermid, Nicholas C. Coops, Michael A. Wulder, Steven E. Franklin, Nicole E. Seitz
2010 Spatial Complexity, Informatics, and Wildlife Conservation  
Remote sensing has established a key role in modern wildlife ecology, but the data types and methods are both varied and complex, and the potential for misuse by the uninformed is high.  ...  Users of remote sensing technology seeking to link information needs with remote sensing strategy must balance knowledge of data and processing techniques with a clear understanding of the nature of the  ...  many partners and colleagues in the Foothills Model Forest Grizzly Bear Research Program.  ... 
doi:10.1007/978-4-431-87771-4_11 fatcat:22ajx35kmbgvdidwwaxm6osudi

Hyperspectral Remote Sensing [chapter]

Eyal Ben-Dor, Daniel Schläpfer, Antonio J. Plaza, Tim Malthus
2013 Airborne Measurements for Environmental Research  
terrestrial and artificial/cultivated and managed and semi-natural natural land covers ( Figure 5.4a-d) .  ...  Anomalous pixels are typically rare but sufficiently distinct, spectrally and/or spatially. Examples include a vehicle in a natural environment, a rock in a field or a wooden hut in a forest.  ...  It is a passive scanning and imaging instrument consisting of 4 spectrometers that simultaneously acquire radiation in the VNIR, SWIR and thermal infrared (TIR) ( Table A .1).  ... 
doi:10.1002/9783527653218.ch8 fatcat:rimn5senmnaf5k6vpytbokahoi

A portable LIDAR system for rapid determination of forest canopy structure

GEOFFREY G. PARKER, DAVID J. HARDING, MICHELLE L. BERGER
2004 Journal of Applied Ecology  
. & Chen, J. (2002) Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an example.  ...  R. (2002) ‘Free-air' ozone canopy fumigation in an old-growth mixed forest: concept and observations in beech. Phyton, 42. 105-119.  ... 
doi:10.1111/j.0021-8901.2004.00925.x fatcat:raaw3p6norevxhqtt7vrxb6lae

Classification of Handheld Laser Scanning Tree Point Cloud Based on Different KNN Algorithms and Random Forest Algorithm

Wenshu Lin, Weiwei Fan, Haoran Liu, Yongsheng Xu, Jinzhuo Wu
2021 Forests  
On this basis, the random forest classifier was used to calculate feature importance and perform dataset training.  ...  Handheld mobile laser scanning (HMLS) can quickly acquire point cloud data, and has the potential to conduct forest inventory at the plot scale.  ...  ., Ltd. for support in data collection. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/f12030292 doaj:e2e09acb86944c048f20666ddfb65633 fatcat:bo6r5mpcifbaxp3i33j4ucu7da

State of Science Assessment of Remote Sensing of Great Lakes Coastal Wetlands: Responding to an Operational Requirement

Lori White, Robert A. Ryerson, Jon Pasher, Jason Duffe
2020 Remote Sensing  
The mapping requirements included a minimum mapping unit (MMU) of either 2 × 2 m or 4 × 4 m, a digital elevation model (DEM) accuracy in x and y of 2 m, a "z" value or vertical accuracy of 1–5 cm, and  ...  Light Detection and Ranging (LiDAR) with either a multispectral or a hyperspectral sensor, (2) colour-infrared aerial photography (airplane) with (optimum) 8 cm resolution, (3) colour-infrared unmanned  ...  Author Contributions: Funding for this project was acquired by J.D. and J.P.; L.W. and R.A.R. conducted the personal communication with wetland experts, the literature review, and wrote the first draft  ... 
doi:10.3390/rs12183024 doaj:123e38861e26499b80e9514caddb66fc fatcat:qmahgll73zhs5bay6qb3p6a7m4
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