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A biomass estimate over the harvard forest using field measurements with radar and lidar data

Razi Ahmed, Paul Siqueira, Kathleen Bergen, Bruce Chapman, Scott Hensley
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
In this text we assess the accuracy of radar and/or lidar estimates of above ground biomass using eld measurements made in the Harvard forest in Massachusetts, USA.  ...  This text analyzes these radar techniques using data collected from PALSAR and UAVSAR and assesses the ef ciency of the biomass estimates derived from them with the ground validation data collected over  ... 
doi:10.1109/igarss.2010.5651367 dblp:conf/igarss/AhmedSBCH10 fatcat:nl6grcjxi5gjzdaq4hkgs3pkrq

Using multi-source data from lidar, radar, imaging spectroscopy, and national forest inventories to simulate forest carbon fluxes

A. S. Antonarakis, P. Siqueira, J. W. Munger
2017 International Journal of Remote Sensing  
This study assesses the use of multiple-source data from lidar, radar, imaging spectroscopy, and national forest inventories to derive forest structure and composition necessary to initialise the Ecosystem  ...  ED2 was initialised using forest structure and composition derived from lidar and national forest inventories, radar and national forest inventories, lidar and imaging spectroscopy, and radar and imaging  ...  Acknowledgements The authors thank Audrey Barker-Plotkin, Julian Hadley, David Forester, Paul Moorcroft, Steve Wofsy, Razi Ahmed, and the Harvard Forest LTER for their generosity in providing advice, ground-based  ... 
doi:10.1080/01431161.2017.1341666 fatcat:vn4xm7gj2jdvff4aybxhu5ssn4

Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing

Razi Ahmed, Paul Siqueira, Scott Hensley, Kathleen Bergen
2013 Remote Sensing  
We present an assessment of the quality of ground truth biomass estimates derived from three different sets of diameter-based allometric equations over the Harvard and Howland Forests to establish the  ...  This article describes an effort to collect field data at the Harvard and Howland Forest sites, set in the temperate forests of the Northeastern United States in an attempt to establish ground truth forest  ...  Study Goal and Objectives Algorithms to derive biomass estimates from radar and lidar sensors are currently typically calibrated using field biomass data collected over forest plots.  ... 
doi:10.3390/rs5063007 fatcat:n5oisxeiv5ayfn2slqjl5waqyi

The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions

Temilola Fatoyinbo, John Armston, Marc Simard, Sassan Saatchi, Michael Denbina, Marco Lavalle, Michelle Hofton, Hao Tang, Suzanne Marselis, Naiara Pinto, Steven Hancock, Brian Hawkins (+19 others)
2021 Remote Sensing of Environment  
and support of the AfriSAR airborne and field campaigns in Gabon.  ...  Acknowledgements The AfriSAR campaign and data product development was supported by NASA's Earth Science Division of the Science Mission Directorate.  ...  Indeed, while a breadth of field measurements was previously available in Central African forests, 90% of all plots were in high biomass forests (over 200 Mg/ha).  ... 
doi:10.1016/j.rse.2021.112533 fatcat:zjjfcgditratzbqyzzpjdaddzy

Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery

Mariano García, Sassan Saatchi, Susan Ustin, Heiko Balzter
2018 International Journal of Applied Earth Observation and Geoinformation  
Here we evaluate the capability of existing satellite synthetic aperture radar (SAR) with multispectral data to estimate forest canopy height over five study sites across two biomes in North America, namely  ...  LiDAR measurements provide samples of forest structure that must be integrated with satellite imagery to predict and to map landscape scale variations of forest structure.  ...  We thank NEON for providing the LiDAR data over the California study sites. We greatly appreciate the constructive comments of two anonymous reviewers which greatly improved the original manuscript.  ... 
doi:10.1016/j.jag.2017.11.017 fatcat:ueppsyqghrew3p2v7x7xofgo5y

Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar

Tian Yao, Xiaoyuan Yang, Feng Zhao, Zhuosen Wang, Qingling Zhang, David Jupp, Jenny Lovell, Darius Culvenor, Glenn Newnham, Wenge Ni-Meister, Crystal Schaaf, Curtis Woodcock (+3 others)
2011 Remote Sensing of Environment  
Comparing forest structural parameters retrieved using EVI data with extensive ground measurements, we found excellent agreement at the site level using five EVI scans (plots) per site (R 2 = 0.94-0.99  ...  This successful application of ground-based lidar technology opens the door to rapid and accurate measurement of biomass and timber volume in areal sampling scenarios and as a calibration and validation  ...  of Miguel Roman, Mitchell Schull and Shihyan Lee in collecting field and EVI data.  ... 
doi:10.1016/j.rse.2010.03.019 fatcat:b4ylwau4hjfobfo53by3oux6j4

The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA

D. A. Orwig, P. Boucher, I. Paynter, E. Saenz, Z. Li, C. Schaaf
2018 Interface Focus  
Field-measured aboveground biomass (AGB) in forested plots has been compared with estimates of forest biomass derived from L-band radar backscatter observed from the NASA/Jet Propulsion Laboratory (JPL  ...  Forest structure measurements Over the past decade, ground-based Echidna lidar scans have been used to estimate mean DBH values of trees, stem density, basal area and woody biomass [18] , and effective  ... 
doi:10.1098/rsfs.2017.0044 pmid:29503723 pmcid:PMC5829185 fatcat:yrkrv73ejfbkndosom7s5wzfga

Regional Carbon Predictions in a Temperate Forest Using Satellite Lidar

Alexander S. Antonarakis, Alejandro Guizar Coutino
2017 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
This study uses satellite waveform lidar from ICESat to estimate regional forest structure in central New England, where each lidar waveform estimates fine-scale forest heterogeneity.  ...  In preparation for new lidar and hyperspectral satellites, linking satellite data and terrestrial biosphere models are crucial in improving estimates of carbon sequestration potential counteracting anthropogenic  ...  ACKNOWLEDGMENT This paper was supported by the Sussex Research Development Fund, project # 4290. The authors thank Pedram Rowhani for his support at the onset of this project.  ... 
doi:10.1109/jstars.2017.2732058 fatcat:w63xf4ej5jcjxpkrzmvqovoqm4

Impacts of Spatial Variability on Aboveground Biomass Estimation from L-Band Radar in a Temperate Forest

Chelsea Robinson, Sassan Saatchi, Maxim Neumann, Thomas Gillespie
2013 Remote Sensing  
We examine the impact of plot size at different spatial resolutions, incidence angles, and polarizations on the forest biomass estimation using L-band polarimetric Synthetic Aperture Radar data acquired  ...  UAVSAR backscatter was linked to the field estimates of aboveground biomass to develop parametric equations based on polarized returns to accurately map biomass over the entire radar image.  ...  A special thanks for the crews that helped with the field collections from UCLA, NASA's Jet Propulsion Laboratory, NASA's Goddard Space Flight Center, the University of Maryland, and the University of  ... 
doi:10.3390/rs5031001 fatcat:wdmujzsrvbakhbjmfx7xivut7y

Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS

Taejin Park, Robert Kennedy, Sungho Choi, Jianwei Wu, Michael Lefsky, Jian Bi, Joshua Mantooth, Ranga Myneni, Yuri Knyazikhin
2014 Remote Sensing  
Comparisons against field measurements show that LVIS data can satisfactorily provide a proxy for maximum forest canopy heights (n = 705, RMSE = 4.99 m, and R 2 = 0.78), and the simple slope correction  ...  Active light detection and ranging (lidar) sensors with discrete-return or waveform lidar have produced reliable measures of forest canopy height.  ...  This work was partially supported by the NASA Headquarters under the NASA Earth and Space Science Fellowship Program-Grant "NNX13AP55H".  ... 
doi:10.3390/rs6076566 fatcat:ijlez47mcfa2nh3owhmztm2k6q

Transport of forest fire emissions from Alaska and the Yukon Territory to Nova Scotia during summer 2004

Thomas J. Duck, Bernard J. Firanski, Dylan B. Millet, Allen H. Goldstein, James Allan, Rupert Holzinger, Douglas R. Worsnop, Allen B. White, Andreas Stohl, Cameron S. Dickinson, Aaron van Donkelaar
2007 Journal of Geophysical Research  
Smoke aerosols were first detected in the free troposphere by a Raman lidar and extended up to 8 km altitude.  ...  The emissions were tracked back to Alaska and the Yukon Territory using aerosol optical depth measurements from the Aqua MODIS satellite instrument, and the transport was reconstructed using the GEOS-Chem  ...  The vertical resolution of the lidar data was reduced to match that used by the FLEXPART, and the simulated data were averaged over the same time interval used in the observations. [26] As seen in Figure  ... 
doi:10.1029/2006jd007716 fatcat:oeqjssqesbdzlc7xm7wvgmwejy

Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR

Christopher Neigh, Jeffrey Masek, Paul Bourget, Bruce Cook, Chengquan Huang, Khaldoun Rishmawi, Feng Zhao
2014 Remote Sensing  
Few studies have evaluated the precision of IKONOS stereo data for measuring forest canopy height.  ...  We found the following in three different forested regions of the US after excluding heterogeneous and disturbed forest samples: (1) G-LiHT DTMs were highly correlated with NED DTMs with R 2 > 0.98 and  ...  RAdio Detection And Ranging (RADAR), Light Detection And Ranging (LiDAR), and photogrammetric methods using stereo imagery, have all been used to measure forest structure and each approach has varying  ... 
doi:10.3390/rs6031762 fatcat:2inxhj4af5bl3orxpnedtthvfq

Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Forest Inventories of New England [article]

Elias Ayrey, Daniel J. Hayes, John B. Kilbride, Aaron R. Weiskittel
2019 bioRxiv   pre-print
We then apply our model to publicly available data over New England, generating maps of fourteen forest attributes at a 10 m resolution over 85 % of the region.  ...  We compare this modeling approach to the standard modeling approach for making forest predictions from LiDAR data, and find that the CNN outperformed the standard approach by a large margin in many cases  ...  Fox Research and Demonstration Forest for the use of their CFI field plot data. We thank David Orwig and Harvard Forest for the use of their Megaplot field inventory.  ... 
doi:10.1101/580514 fatcat:4tcjjirnsjcalmzeqqx73mt6pm

Mapping carbon storage in urban trees with multi-source remote sensing data: Relationships between biomass, land use, and demographics in Boston neighborhoods

Steve M. Raciti, Lucy R. Hutyra, Jared D. Newell
2014 Science of the Total Environment  
We integrated remote sensing data (including LiDAR-based tree height estimates) and field-based observations to map canopy cover and aboveground tree carbon storage at~1 m spatial scale.  ...  We developed a very high resolution map of urban tree biomass, assessed the scale sensitivities in biomass estimation, compared our results with lower resolution estimates, and explored the demographic  ...  Data for this analysis was provided by the Urban Forest Coalition, DigitalGlobe Inc., and the Massachusetts Geographic Information System.  ... 
doi:10.1016/j.scitotenv.2014.08.070 pmid:25217746 fatcat:vlibctlggfaybp23razgelkkd4

Archaeological Application of Airborne LiDAR with Object-Based Vegetation Classification and Visualization Techniques at the Lowland Maya Site of Ceibal, Guatemala

Takeshi Inomata, Flory Pinzón, José Luis Ranchos, Tsuyoshi Haraguchi, Hiroo Nasu, Juan Carlos Fernandez-Diaz, Kazuo Aoyama, Hitoshi Yonenobu
2017 Remote Sensing  
We then compared probable archaeological features identified in the LiDAR data with the archaeological map produced by Harvard University in the 1960s and conducted ground-truthing in sample areas.  ...  We developed a classification of vegetation through object-based image analysis (OBIA), primarily using LiDAR-derived datasets, and evaluated various visualization techniques of LiDAR data.  ...  The analysis of LiDAR data was carried out with the support of a Dumbarton Oaks fellowship and the University of Arizona Agnese Nelms Haury program.  ... 
doi:10.3390/rs9060563 fatcat:zmjyfvjkbvdqtgvkj5y5rtzwcm
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