Article
Environmental Sciences
Heather Kay, Maurizio Santoro, Oliver Cartus, Pete Bunting, Richard Lucas
Summary: Forest structure is a complex and diverse system globally, which can be explained and evaluated using the nearly global coverage provided by ICESat GLAS LiDAR footprint data and a simple allometric model. The relationship between canopy height and density varies across different ecoregions, and the single parameter of the allometric model is associated with the maximum canopy density and height values globally.
Article
Forestry
Dave L. Mitchell, Mariela Soto-Berelov, Simon D. Jones
Summary: Research in the eastern forests of Australia reveals that tree height variability is not just regional but also significant within subregions, within subregions, and even at local scales due to previous land-uses. Recognizing and incorporating this height variation is crucial for effective habitat management.
Article
Forestry
Hongbin Luo, Cairong Yue, Hua Yuan, Si Chen
Summary: This study proposes a semi-empirical method to overcome the residual phase effects on forest canopy height estimation using TomoSAR. By excluding extreme values and implementing correction steps, more accurate canopy height estimation results are obtained. The findings of this study provide an important reference for optimizing future spaceborne TomoSAR forest canopy height estimates.
Article
Environmental Sciences
Sungchan Oh, Jinha Jung, Guofan Shao, Gang Shao, Joey Gallion, Songlin Fei
Summary: The forest canopy height model (CHM) is a crucial tool for analyzing forest stocking and its spatiotemporal variations. This study presents a high-resolution CHM generation method using U.S. Geological Survey (USGS) LiDAR data for the entire state of Indiana, USA. The accuracy of the CHM was validated through comparison with field-based height measurements. Furthermore, the resulting CHM can serve as critical baseline information for monitoring and management decisions, as well as the calculation of other key forest metrics.
Article
Environmental Sciences
Svetlana Turubanova, Peter Potapov, Matthew C. Hansen, Xinyuan Li, Alexandra Tyukavina, Amy H. Pickens, Andres Hernandez-Serna, Adrian Pascual Arranz, Juan Guerra-Hernandez, Cornelius Senf, Tuomas Hame, Ruben Valbuena, Lars Eklundh, Olga Brovkina, Barbora Navratilova, Jan Novotny, Nancy Harris, Fred Stolle
Summary: European forests have shown a slight increase in tree canopy extent over the past two decades, with the most significant growth observed in Eastern Europe, Southern Europe, and the British Isles. However, after 2016, there has been a decline in tree canopy extent in Europe. Some regions, particularly Fennoscandia, have experienced a reduction in tree canopy extent between 2001 and 2021. Additionally, the continental extent of tall tree canopy forests has decreased during this period.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Manizheh Rajab Pourrahmati, Nicolas Baghdadi, Ibrahim Fayad
Summary: The GEDI LiDAR system is an effective tool for estimating forest biophysical parameters, particularly canopy height, at a global scale. This study found that GEDI canopy height estimation is more accurate for needleleaf forests compared to broadleaf and mixed forests. The study also identified the impact of foliage condition and plant area index on GEDI canopy height accuracy, suggesting the importance of filtering GEDI data based on seasonal acquisition time for specific forest types.
Article
Environmental Sciences
Esmaeel Adrah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, Shaurya Bajaj, Rodrigo Vieira Leite, Siti Munirah Mazlan, Carlos Alberto Silva, Maggie Chel Gee Ooi, Mohd Nizam Mohd Said, Khairul Nizam Abdul Maulud, Adrian Cardil, Midhun Mohan
Summary: The study investigates the influential climatic and environmental drivers of canopy height in tropical forests in Malaysia and explores the relationship between canopy height and water availability and elevation. The findings are important for understanding the variation in tree height in tropical forests and support the development of ecosystem modeling, forest management practices, and monitoring forest response to climate change.
Article
Environmental Sciences
Yuncheng Deng, Jiya Pan, Jinliang Wang, Qianwei Liu, Jianpeng Zhang
Summary: This study introduces a rapid method for biomass estimation in alpine and canyon areas using space-borne LiDAR data and optical remote-sensing images. By establishing extrapolation and growth models, the aboveground biomass and carbon storage in Shangri-La City were successfully estimated and verified.
Article
Environmental Sciences
Wenjie He, Jianjun Zhu, Juan M. Lopez-Sanchez, Cristina Gomez, Haiqiang Fu, Qinghua Xie
Summary: This study evaluates the capacity of TanDEM-X interferometric synthetic aperture radar (InSAR) data assisted by an external digital terrain model (DTM) to estimate forest canopy height. A ground-to-volume ratio estimation model is proposed for precise estimation of canopy height. The results show that the proposed method has high accuracy and performance in forest height estimation, compared with existing methods and LiDAR data.
Article
Environmental Sciences
Cangjiao Wang, Andrew J. Elmore, Izaya Numata, Mark A. Cochrane, Shaogang Lei, Christopher R. Hakkenberg, Yuanyuan Li, Yibo Zhao, Yu Tian
Summary: This study proposes a point-surface fusion framework (FPSF-CH) for canopy height mapping using GEDI data. The effectiveness of FPSF-CH was validated, showing improved accuracy compared to other methods. The integration of GEDI data provides a new avenue for accurate wall-to-wall canopy height mapping.
Article
Environmental Sciences
Hongbin Luo, Cairong Yue, Ning Wang, Guangfei Luo, Si Chen
Summary: This study proposed correction methods based on penetration depth for the errors in the random volume over ground (RVoG) model used for forest canopy height estimation. Experimental results showed underestimation errors in tall forest areas and overestimation errors in low forest areas. Correction methods based on reference height and infinite-depth volume condition significantly improved the inversion error of the RVoG model. Additionally, the application of machine learning methods and polarized interference features extended the scale of the correction method.
Article
Environmental Sciences
Nian-Wei Ku, Sorin Popescu, Marian Eriksson
Summary: This study aimed to assess the accuracy of a selected GCHM by comparing it with airborne lidar data from the southern United States, followed by recalibration to improve alignment with local forest canopy heights. The evaluation and recalibration were based on the 90th and 95th percentiles of lidar height values. The research concluded that characterizing the agreement of a GCHM with local data and recalibrating it for the specific region are essential for future large-scale studies.
Article
Environmental Sciences
Fugen Jiang, Feng Zhao, Kaisen Ma, Dongsheng Li, Hua Sun
Summary: This study utilized a stacking algorithm to accurately map the canopy height of vegetation in the Saihanba Mechanical Forest Plantation, achieving the best prediction accuracy compared to other algorithms used. The stacking approach decreased the RMSE significantly, indicating its effectiveness in predicting forest canopy height.
Article
Environmental Sciences
Neal C. Swayze, Wade T. Tinkham, Jody C. Vogeler, Andrew T. Hudak
Summary: This study investigated the use of unmanned aerial system (UAS) imagery for modeling individual tree and stand-level metrics in dry conifer forests. It found that tree extraction accuracy was maximized for nadir crosshatch UAS flight designs, while extracted tree height accuracy was high for all UAS flight parameters. Additionally, stand density estimates were most accurate with off-nadir or crosshatch flight designs at lower altitudes.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Forestry
Mehmet S. Ozcelik, Ivana Tomaskova, Peter Surovy, Roman Modlinger
Summary: This study investigated the effect of forest-edge cutting on the transpiration rates of Picea abies trees and their susceptibility to bark-beetle Ips typographus infestation. The results showed that forest-edge clearance caused an increase in sap flow of the trees and was positively correlated with decreased canopy density.
Letter
Dermatology
Marius Rademaker, Jose G. B. Derraik, Phil J. Sirvid
AUSTRALASIAN JOURNAL OF DERMATOLOGY
(2019)
Article
Endocrinology & Metabolism
Yvonne C. Anderson, William Leung, Cameron C. Grant, Tami L. Cave, Jose G. B. Derraik, Wayne S. Cutfield, Nicola M. Pereira, Paul L. Hofman, Trudy A. Sullivan
OBESITY RESEARCH & CLINICAL PRACTICE
(2018)
Article
Endocrinology & Metabolism
Jose G. B. Derraik, Wayne S. Cutfield, Sarah E. Maessen, Paul L. Hofman, Timothy Kenealy, Alistair J. Gunn, Craig A. Jefferies
PEDIATRIC DIABETES
(2018)
Article
Endocrinology & Metabolism
Jose G. B. Derraik, Harriet L. Miles, Valentina Chiavaroli, Paul L. Hofman, Wayne S. Cutfield
CLINICAL ENDOCRINOLOGY
(2019)
Article
Public, Environmental & Occupational Health
J. G. B. Derraik, D. Pasupathy, L. M. E. McCowan, L. Poston, R. S. Taylor, N. A. B. Simpson, G. A. Dekker, J. Myers, M. C. Vieira, W. S. Cutfield, F. Ahlsson
JOURNAL OF DEVELOPMENTAL ORIGINS OF HEALTH AND DISEASE
(2019)
Article
Medicine, General & Internal
Yvonne C. Anderson, Kaye Kirkpatrick, Gerard M. S. Dolan, Trecia A. Wouldes, Cameron C. Grant, Tami L. Cave, Cervantee E. K. Wild, Jose G. B. Derraik, Wayne S. Cutfield, Paul L. Hofman
Article
Ecology
David T. Barnett, Paul A. Duffy, David S. Schimel, Rachel E. Krauss, Kathryn M. Irvine, Frank W. Davis, John E. Gross, Elena Azuaje, Andrea S. Thorpe, David Gudex-Cross, Michael Patterson, Jalynda M. McKay, Joel T. McCorkel, Courtney L. Meier
Review
Pediatrics
Valentina Chiavaroli, John D. Gibbins, Wayne S. Cutfield, Jose G. B. Derraik
WORLD JOURNAL OF PEDIATRICS
(2019)
Article
Nutrition & Dietetics
Marewa Glover, Sally F. Wong, Rachael W. Taylor, Jose G. B. Derraik, Jacinta Fa'alili-Fidow, Susan M. Morton, Wayne S. Cutfield
Article
Medicine, General & Internal
Karen S. W. Leong, Thilini N. Jayasinghe, Jose G. B. Derraik, Benjamin B. Albert, Valentina Chiavaroli, Darren M. Svirskis, Kathryn L. Beck, Cathryn A. Conlon, Yannan Jiang, William Schierding, Tommi Vatanen, David J. Holland, Justin M. O'Sullivan, Wayne S. Cutfield
Article
Ecology
Alison B. Adams, Jennifer Pontius, Gillian Galford, David Gudex-Cross
Article
Environmental Sciences
David Gudex-Cross, Spencer R. Keyser, Benjamin Zuckerberg, Daniel Fink, Likai Zhu, Jonathan N. Pauli, Volker C. Radeloff
Summary: This study utilized MODIS data to establish winter habitat indices and investigate the impact of snow cover on ecosystem and bird species richness. The results revealed that factors such as snow season length, snow cover variability, and frozen ground without snow significantly influence bird habitat conditions and species diversity.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Ecology
David Gudex-Cross, Likai Zhu, Spencer R. Keyser, Benjamin Zuckerberg, Jonathan N. Pauli, Volker C. Radeloff
Summary: The study demonstrates that the length of frozen ground winter is the strongest predictor of species richness, with a decline in species richness beyond 3 months of winter. Winter conditions explained much of the deviance in amphibian, mammal, and resident bird species richness in areas with ≥ 3 months of winter conditions. Migratory bird species richness peaks at around 5.5 months of winter, coinciding with low richness of resident birds.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2022)
Article
Environmental Sciences
Laura S. Farwell, David Gudex-Cross, Ilianna E. Anise, Michael J. Bosch, Ashley M. Olah, Volker C. Radeloff, Elena Razenkova, Natalia Rogova, Eduarda M. O. Silveira, Matthew M. Smith, Anna M. Pidgeon
Summary: Satellite image texture is closely related to lidar-based canopy height variability and can explain bird richness patterns. In terms of correlating with lidar and field-based metrics, 10 m resolution texture is stronger than 30 m resolution texture.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Sarah E. Maessen, Fredrik Ahlsson, Maria Lundgren, Wayne S. Cutfield, Jose G. B. Derraik
SCIENTIFIC REPORTS
(2019)