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Effects of Forest Canopy Vertical Stratification on the Estimation of Gross Primary Production by Remote Sensing
2018
Remote Sensing
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In this study, we used three light use efficiency (LUE) GPP models and site-level experiment data to analyze the effects of the vertical stratification of dense forest vegetation on the estimates of remotely ...
Gross primary production (GPP) in forests is the most important carbon flux in terrestrial ecosystems. ...
And we thank the anonymous reviewers gave us valuable suggestions to improve this research.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/rs10091329
fatcat:65mdeobuorbr7nhtzydm7f3bdi
Forests and Their Canopies: Achievements and Horizons in Canopy Science
2017
Trends in Ecology & Evolution
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Canopies form vertically stratified ecosystems interconnected with other strata. ...
Such understanding is vital for the successful management and conservation of global forests and the ecosystem services they provide to the world. ...
Acknowledgments The authors thank the 59 ...
doi:10.1016/j.tree.2017.02.020
pmid:28359572
fatcat:fxqill3d6nhgffhxgqo6ijsbf4
Using Stochastic Ray Tracing to Simulate a Dense Time Series of Gross Primary Productivity
2015
Remote Sensing
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Eddy-covariance carbon dioxide flux measurement is an established method to estimate primary productivity at the forest stand level (typically 10 ha). ...
Optimized leaf photosynthesis parameters and canopy structure were able to explain 75% of variation in eddy-covariance gross primary productivity estimates, and commonly used parameters, including photosynthetic ...
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors an do not necessarily reflect the views of the funding body. ...
doi:10.3390/rs71215875
fatcat:f2kjandytjh6hosyupiaflegqm
Effects of foliage clumping on the estimation of global terrestrial gross primary productivity
2012
Global Biogeochemical Cycles
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The effective LAI is often derived from remote sensing by inverting the measured canopy gap fraction to LAI without considering the clumping. ...
In this study, we use BEPS to investigate the effect of canopy architecture on the global distribution of GPP. ...
Conclusion [42] The importance of foliage clumping in its influence on the terrestrial primary productivity is investigated in two ways: (1) through its influence on sunlit and shaded leaf stratification ...
doi:10.1029/2010gb003996
fatcat:w7urqpsgfrbfxodb2lzv4eklmq
National-scale estimation of gross forest aboveground carbon loss: a case study of the Democratic Republic of the Congo
2013
Environmental Research Letters
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Recent advances in remote sensing enable the mapping and monitoring of carbon stocks without relying on extensive in situ measurements. ...
Results raise the issue of scale in forest cover change mapping and validation, and subsequent impacts on remotely sensed carbon stock change estimation, particularly for smallholder dominated systems ...
Thanks to Brian Barker, Giuseppe Molinario and Alice Altstatt from the UMD CARPE team for the processing of high resolution remotely sensed data and valuable comments. ...
doi:10.1088/1748-9326/8/4/044039
fatcat:fagtnqe5sbg47jf3n65qdqt75a
Characterizing Forest Growth and Productivity Using Remotely Sensed Data
2015
Current Forestry Reports
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There are a number of different methods of measuring the productivity of forested ecosystems using remote sensing. ...
examples throughout on the use and application of remote sensing technologies. ...
Acknowledgments Components of this research were funded by a NSERC Discovery grant to Coops. Mitchell Vartainian provided significant editorial help and David Williams for the diagram. ...
doi:10.1007/s40725-015-0020-x
fatcat:jaqe7puu6jclvogeprsowrxeoq
Review of the use of remote sensing for biomass estimation to support renewable energy generation
2015
Journal of Applied Remote Sensing
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Remote sensing offers the technology to enable rapid assessment of biomass over large areas relatively quickly and at a low cost. ...
This paper provides a comprehensive review of biomass assessment techniques using remote sensing in different environments and using different sensing techniques. ...
indices, leaf area index (LAI), fraction of absorbed photosynthetically active radiation (FAPAR), gross primary production, net photosynthesis, and net primary productivity (NPP). 37, 38 The mid-infrared ...
doi:10.1117/1.jrs.9.097696
fatcat:vb6fitx52rbyxprbf2c6c7nu3i
The role of remote sensing in process-scaling studies of managed forest ecosystems
2015
Forest Ecology and Management
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reviews the application of remote sensing for upscaling forest attributes from 12 the plot scale to regional domains, with particular emphasis on how remote sensing 13 products can support parameterization ...
The national carbon accounting system in Canada 108 7 is also largely driven by modeling the components of change based in part on remote 109 sensing of forest disturbances, such as wildfires and insect ...
Net primary production (NPP) is the 546 rate of carbon uptake by vegetation, which is the balance between photosynthesis, or 547 gross primary production, and autotrophic respiration (Chapin et al., 2006 ...
doi:10.1016/j.foreco.2015.05.032
fatcat:46scvkdhtvcjnoosfd6ol5gjmy
Forest fragmentation impacts the seasonality of Amazonian evergreen canopies
2022
Nature Communications
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Our findings reveal a strong influence of edge effects on phenological controls in wet forests of Central Amazonia. ...
on the altered upper canopy structure. ...
This publication is number 831 of the Technical Series of the Biological Dynamics of Forest Fragment Forest (BDFFP-INPA / STRI). ...
doi:10.1038/s41467-022-28490-7
pmid:35177619
pmcid:PMC8854568
fatcat:fzj3apb4g5fabbb2tcr6cjr4he
An Approach to Spatially Distributed Modeling of Net Primary Production (NPP) at the Landscape Scale and Its Application in Validation of EOS NPP Products
1999
Remote Sensing of Environment
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One approach faces at a local landscape scale as a means of validating uses remotely sensed ecosystem properties in the scaling global models, in particular the MODIS NPP product, 3) process. ...
Substantial research seeks to improve estimates of eco-meaningful evaluation (or "validation" in some sense) of simpler, globally applied models. ...
net primary production: combining ecology and reto "validate" simpler global models. mote sensing, Remote Sens. ...
doi:10.1016/s0034-4257(99)00058-9
fatcat:dqqxgnihqfhdvhpql7wkamjbou
Large-scale retrieval of leaf area index and vertical foliage profile from the spaceborne waveform lidar (GLAS/ICESat)
2014
Remote Sensing of Environment
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This method refines lidar derived LAI and VFP through a recursive analysis of GLAS waveforms using ancillary data obtained from existing remote sensing products. ...
Results from our study suggest the possibility of retrieving global LAI and VFP data from GLAS data and the potential for synergetic observation of lidar and passive optical remote sensing data such as ...
We also thank the NSIDC (National Snow & Ice Data Center) User Services for the help on data acquisition and NASA Earth Exchange (NEX) for computing resources. ...
doi:10.1016/j.rse.2014.08.007
fatcat:g7ezhbwk2fa4vfdxcn7umuhhbi
Regional-scale application of lidar: Variation in forest canopy structure across the southeastern US
2014
Forest Ecology and Management
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Undisturbed forests were 30% higher in canopy height, 15% higher in canopy cover, and 18% higher in cover of the upper third of the canopy than disturbed forests. ...
Unlike ecosystem properties such as vegetation production, canopy structure mapping is limited by measurement constraints and is primarily measured for small areas. ...
Chengquan Huang provided data on time since disturbance. Jim Robson-Cox provided statistical advice. Travis Belote provided helpful comments on an earlier version of the manuscript. ...
doi:10.1016/j.foreco.2014.06.009
fatcat:jfioh5jxdfeprlzmpcgnm2xp7u
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR
[article]
2021
arXiv
pre-print
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A deep learning approach is developed that estimates canopy height for each 10 m Sentinel-2 pixel by learning from sparse GEDI LIDAR reference data, achieving an overall RMSE of 6.3 m. ...
We show that these wall-to-wall maps of canopy top height are predictive for classifying HCS forests and degraded areas with an overall accuracy of 86 % and produce a first high carbon stock map for Indonesia ...
Acknowledgements The project received funding from Barry Callebaut Sourcing AG, as part of a Research Project Agreement. We thank Grant Rosoman for his inputs and comments. ...
arXiv:2107.07431v1
fatcat:kdhkboqrlrdpllhn3yo4xnkhri
Estimation of global leaf area index and absorbed par using radiative transfer models
1997
IEEE Transactions on Geoscience and Remote Sensing
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A simple method for the estimation of global leaf area index (LAI) and fraction of photosynthetically active radiation absorbed by the vegetation (FAPAR) from atmospherically corrected Normalized Difference ...
The method therefore requires stratification of global vegetation into cover types that are compatible with the radiative transfer model. ...
ACKNOWLEDGMENT The authors gratefully acknowledge the support of NASA. ...
doi:10.1109/36.649788
fatcat:ppomrnm6y5hengwq3auui27rju
Assessing forest structural and physiological information content of multi-spectral LiDAR waveforms by radiative transfer modelling
2009
Remote Sensing of Environment
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This work was funded by the CEOI (Centre of Excellence in Earth Observation and Instrumentation) for the project Multispectral canopy LiDAR led by University of Edinburgh in close cooperation with Selex ...
We would like to thank the two anonymous reviewers, who helped to greatly improve the manuscript. ...
thus providing a better estimate of gross primary productivity (GPP). ...
doi:10.1016/j.rse.2009.05.019
fatcat:mz4xvfm73na27ezlfc6nby2ymy
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