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Application of Laser Remote Sensing to Forest Ecological Research
レーザーリモートセンシングの森林生態学への応用
2014
Journal of the Japanese Forest Society
レーザーリモートセンシングの森林生態学への応用
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LiDAR has contributed to various fields of forest ecosystem studies in estimating forest light and hydrological environments, predicting stand dynamics, and quantifying parameters for forest conservation ...
in forest ecosystems. ...
Agr Forest Meteorol
:
Chen Q, Baldocchi D, Gong P, Kelly M
Isolating individual trees
in a savanna woodland using small footprint lidar data. ...
doi:10.4005/jjfs.96.168
fatcat:frsnzpsatbdptnksqlhv6b4vuu
Mapping forests with Lidar provides flexible, accurate data with many uses
2015
California Agriculture
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Di Tommaso is Staff Researcher in the Environmental Sciences, Policy and Management Department at UC Berkeley. ...
Kelly is UC Cooperative Extension Specialist and Professor in the Environmental Sciences, Policy and Management Department, and Faculty Director of the Geospatial Innovation Facility in the College of ...
(2011) performed a similar assessment with small-footprint discrete data in the Tahoe National Forest. ...
doi:10.3733/ca.v069n01p14
fatcat:d5dyruy4ybgyzgnbmoa5asllwa
LiDAR Utility for Natural Resource Managers
2009
Remote Sensing
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We anticipate that interest in and reliance upon LiDAR for natural resource management, both alone and in concert with other remote sensing data, will continue to rapidly expand for the foreseeable future ...
This review provides a cross-section of studies, many recent, that demonstrate the relevance of LiDAR across a suite of terrestrial natural resource disciplines including forestry, fire and fuels, ecology ...
Acknowledgements Partial support for this research came from the Sustainable Forestry component of Agenda 2020, a joint effort of USDA Forest Service Research and Development and the American Forest and ...
doi:10.3390/rs1040934
fatcat:wb3topr5qfenfo53xomgemw23y
LiDAR remote sensing of forest structure
2003
Progress in physical geography
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Forest attributes such as canopy height can be directly retrieved from LiDAR data. Direct retrieval of canopy height provides opportunities to model above-ground biomass and canopy volume. ...
Access to the vertical nature of forest ecosystems also offers new opportunities for enhanced forest monitoring, management and planning. ...
Acknowledgements The authors gratefully acknowledge the financial support of Geomatics for Informed Decisions (GEOIDE), a Canadian National Centre of Excellence, and the Centre for Research in Earth and ...
doi:10.1191/0309133303pp360ra
fatcat:m7dlytrtmjc2jmbxp4cohbjo7m
Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon
1999
Remote Sensing of Environment
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A scanning lidar, a relatively new type of sensor which INTRODUCTION explicitly measures canopy height, was used to measure Structural descriptions of forests are crucial to understructure of conifer forests ...
advance studies of the global which scans a swath of five 10-m diameter footprints along C cycle (Post, 1993), forest productivity (Ryan and the aircraft's flightpath, captures the power of the re-Yoder ...
cited above, study of small-footprint lidar in tall-coniferous forest is REFERENCES warranted. ...
doi:10.1016/s0034-4257(98)00091-1
fatcat:oklidgvdfzc5blgyv3bo5slraq
Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon
2018
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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GEDI-like product accuracy was then assessed by comparing them to similar products derived from airborne small-footprint (SF) lidar measurements. ...
The study focused on tropical forests and used data collected during the NASA and European Space Agency (ESA) AfriSAR ground and airborne campaigns in the Lope National Park in Central Gabon. ...
The small footprint lidar data acquisition was supported by funding from the US SilvaCarbon program. The authors thank B. Blair, M. Hofton, S. Hancock, and L. ...
doi:10.1109/jstars.2018.2816962
fatcat:z2d5pa3obfd7lcm3fbaxzz2o24
Estimating FPAR of maize canopy using airborne discrete-return LiDAR data
2014
Optics Express
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A method to estimating FPAR of maize from airborne discrete-return LiDAR data was developed and tested in this study. ...
In summary, this study suggests that the airborne discrete-return LiDAR data could be adopted to accurately estimate FPAR of maize. ...
Collection of airborne LiDAR data Small footprint airborne LiDAR data were acquired in July 2012 using a Leica ALS70 system. ...
doi:10.1364/oe.22.005106
pmid:24663850
fatcat:av6fh53pdzhsjlmlu6bmghltf4
Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey
2011
Geoinformatica
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Small Footprint LiDAR (Light Detection And Ranging) has been proposed as an effective tool for measuring detailed biophysical characteristics of forests over broad spatial scales. ...
In this paper we describe a novel method for delineating and deriving metrics of individual trees from LiDAR data based on watershed segmentation. ...
airborne small-footprint LIDAR survey. ...
doi:10.1007/s10707-011-0148-1
fatcat:enad7nj76zbnlktnakgmtoiqpu
Sensitivity of direct canopy gap fraction retrieval from airborne waveform lidar to topography and survey characteristics
2014
Remote Sensing of Environment
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The success of the approach was demonstrated in a savanna woodland environment in Australia. ...
return lidar data. ...
Chen's research in UCL was funded by the China Scholarship Council. M. Disney and P. Lewis acknowledge the support of the UK NERC National Centre for Earth Observation (NCEO). ...
doi:10.1016/j.rse.2013.12.010
fatcat:b3oqidtamrgq5dp4g7ewvhchti
Estimation of tropical forest structural characteristics using large-footprint lidar
2002
Remote Sensing of Environment
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Biological Station, a tropical wet forest site in Costa Rica. ...
As part of a prelaunch validation plan for the Vegetation Canopy Lidar (VCL) mission, the Laser Vegetation Imaging Sensor (LVIS), a large-footprint airborne scanning lidar, was flown over the La Selva ...
Paniagua, Braulio Vilchez, Laura Rochio, and Birgit Peterson for valuable help in collecting field data. ...
doi:10.1016/s0034-4257(01)00281-4
fatcat:vrq2chise5gptcjjxm5atebsuq
Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning
2018
Remote Sensing
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For small-footprint FW LiDAR, Wu et al. [38] explored the potential of a list of structural and statistics-based AGB predictor metrics. ...
Pirotti et al. [42] also explored the potential for estimating AGB from small-footprint FW data, finding the median height of echo count (HOMTC) performed best at estimating AGB at plot level for a complex ...
in the reserve. ...
doi:10.3390/rs10050671
fatcat:c7ju5uziy5ddpjcpemt3s4htpy
Distinguishing between live and dead standing tree biomass on the North Rim of Grand Canyon National Park, USA using small-footprint lidar data
2009
Remote Sensing of Environment
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We used lidar data, in conjunction with field measurements from 58 plots to distinguish between and map standing live and dead tree biomass in the mixed coniferous forest of the North Rim of Grand Canyon ...
Lidar intensity and canopy volume were key variables for estimating live biomass, whereas for dead biomass, lidar intensity alone was critical for accurate estimation. ...
We greatly thank the lidar team of Watershed Sciences, our lidar data provider, for their aftersales service, Robert J. McGaughey and Stephen E. ...
doi:10.1016/j.rse.2009.07.010
fatcat:5jpsvf36izaydfjkjfqnjllvwu
Using airborne lidar to predict Leaf Area Index in cottonwood trees and refine riparian water-use estimates
2008
Journal of Arid Environments
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Dept. of Defense Legacy Program in support of this research are gratefully acknowledged. ...
In addition, we wish to acknowledge the staff at the USDA-ARS Southwest Watershed Research Center, Tucson, Arizona. ...
Fig. 3a contains the threedimensional distribution of small-footprint lidar data from within a 26 m footprint centered on a tree approximately 30 m tall. ...
doi:10.1016/j.jaridenv.2007.04.010
fatcat:hw5ftg5tjfefjnkdy2wcbbj4q4
Simulations of Leaf BSDF Effects on Lidar Waveforms
2020
Remote Sensing
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Armed with the knowledge from this study, researchers will be able to select appropriate sensor configurations to account for or limit BSDF effects in forest lidar data. ...
Radiative transfer models have been developed to help solve this problem and test new sensor platforms in a virtual environment. ...
However, intensity data from lidar are often not used, as these depend on a number of environmental and system conditions in addition to target material properties, e.g., adaptive gain settings [40] . ...
doi:10.3390/rs12182909
fatcat:mbniampyhva3bfgix656xkmhhq
Discrete Return Lidar in Natural Resources: Recommendations for Project Planning, Data Processing, and Deliverables
2009
Remote Sensing
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Canopy Height Model (CHM): The maximum lidar height value identified in a cell after the lidar point data are binned or interpolated. ...
Intensity: The peak power ratio of the laser return to the emitted laser. This is a function of surface reflectivity. Last Return: The last measurement in a laser pulse. ...
in a range of environments. ...
doi:10.3390/rs1040776
fatcat:xoxscl5uijhepmrdllef2u6vt4
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