Article
Plant Sciences
Daniel Kukenbrink, Oliver Gardi, Felix Morsdorf, Esther Thurig, Andreas Schellenberger, Lukas Mathys
Summary: This study demonstrates the potential of terrestrial laser scanning (TLS) techniques for extracting detailed information on urban tree structure and above-ground biomass (AGB). The study found that TLS-derived AGB estimates showed good performance compared to destructively harvested references, offering a non-destructive and accurate method for estimating tree AGB across different species, sizes, and forms.
Article
Forestry
Zoe Schindler, Thomas Seifert, Jonathan P. Sheppard, Christopher Morhart
Summary: This study provides a set of allometric models for wild cherry trees in agroforestry systems. Through terrestrial laser scanning and quantitative structure models, 70 trees in southwestern Germany were surveyed and analyzed. The derived biomass model, based on volume estimates converted to biomass, shows no significant differences to a previous study conducted on agroforestry trees under a different management regime in the same region.
ANNALS OF FOREST SCIENCE
(2023)
Article
Environmental Sciences
Rafaela B. Salum, Sharon A. Robinson, Kerrylee Rogers
Summary: The study presents a validated method for quantifying mangrove heights using LiDAR data and calibrating them against plot-based estimates of above-ground biomass. The approach was initially validated in Darwin Harbour, then extrapolated to the West Alligator River, with consistent validation throughout the process.
Article
Agronomy
Aline Bornand, Nataliia Rehush, Felix Morsdorf, Esther Thurig, Meinrad Abegg
Summary: This study evaluates the correlation between individual tree volume estimation methods based on 3D reconstruction and existing models, and determines the relationship between geometric parameters obtained from laser scanning data and tree volume. The results show that geometric parameters can effectively estimate tree volume, especially for coniferous species. This is crucial for calibration and validation of biomass mapping products based on remote sensing data.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Review
Environmental Sciences
Tasiyiwa Priscilla Muumbe, Jussi Baade, Jenia Singh, Christiane Schmullius, Christian Thau
Summary: Savannas are diverse ecosystems with complex vegetation, conventional methods may underestimate carbon storage potential. TLS technology shows promise in accurate vegetation parameter extraction, future research should focus on algorithm development and improvement.
Article
Computer Science, Artificial Intelligence
Warakhom Wongchai, Thossaporn Onsree, Natthida Sukkam, Anucha Promwungkwa, Nakorn Tippayawong
Summary: Biomass is a renewable energy resource that can be substituted for fossil fuels, reducing greenhouse gas emissions. By using a machine learning algorithm, we are able to accurately estimate the aboveground biomass of fast-growing trees, providing an estimation method for tropical regions.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Forestry
Linlin Wu, Yongjun Shi, Fanyi Zhang, Yufeng Zhou, Zhentian Ding, Shixin Lv, Lin Xu
Summary: This study measured the canopy volume, carbon stock, and biomass expansion factor (BEF) of urban greening tree species using terrestrial laser scanning (TLS). The results showed that TLS point cloud data were highly reproducible and accurate. The BEF of urban greening tree species fluctuated irregularly due to human interference and cluttered urban environments. Leaf carbon stocks were influenced by the size of the voxel, and different tree measurement factors had variable degrees of influence on BEF.
Article
Forestry
Claudio Guevara, Carlos Gonzalez-Benecke, Maxwell Wightman
Summary: The study aimed to develop models to indirectly estimate early-seral vegetation biomass using vegetation cover, height, or a combination of the two in reforested stands in Western Oregon, USA. Generalized models were found to be a good option for predicting early-seral vegetation biomass across different growth habits and environments, without losing accuracy and/or precision.
Article
Environmental Sciences
Shaun R. Levick, Tim Whiteside, David A. Loewensteiner, Mitchel Rudge, Renee Bartolo
Summary: Savanna ecosystems are difficult to map and monitor due to the dynamic nature of their vegetation. UAV-based remote sensing shows potential for providing high-resolution measurements over large areas at regular intervals. However, the suitability of UAV-based LiDAR for mapping and monitoring savanna vegetation structure is not well established.
Article
Plant Sciences
Peter B. Boucher, Ian Paynter, David A. Orwig, Ilan Valencius, Crystal Schaaf
Summary: The research evaluated the impact of occlusion on TLS scans and compared different stem sets, finding that occlusion from non-stem sources was the major influence on TLS line of sight. It was also discovered that transect and point TLS samples demonstrated better representativeness of some stem properties. Deriving sampled area from TLS scans improved estimates of stem density.
Article
Computer Science, Interdisciplinary Applications
Leyre Torre-Tojal, Aitor Bastarrika, Ana Boyano, Jose Manuel Lopez-Guede, Manuel Grana
Summary: This article utilizes random forest models to estimate the biomass of Pinus radiata species in a region of the Basque Autonomous Community. By tuning the hyperparameters and conducting cross-validation, two models with high R-2 values were obtained. These models were then applied to the municipality of Orozko, predicting a biomass that is 16-18% higher than the predictions made by the Basque Government.
JOURNAL OF COMPUTATIONAL SCIENCE
(2022)
Review
Ecology
Miro Demol, Hans Verbeeck, Bert Gielen, John Armston, Andrew Burt, Mathias Disney, Laura Duncanson, Jan Hackenberg, Daniel Kukenbrink, Alvaro Lau, Pierre Ploton, Artie Sewdien, Atticus Stovall, Stephane Momo Takoudjou, Liubov Volkova, Christopher Weston, Verginia Wortel, Kim Calders
Summary: Improving global monitoring of above-ground biomass is crucial for effective forest management in mitigating climate change. Terrestrial laser scanning (TLS) data has been developed to estimate above-ground biomass, addressing uncertainties in current methods. A global dataset of TLS scanned and destructively measured trees was assembled, showing close agreement between TLS-derived values and destructive measurements. However, smaller trees and conifers had below-average performances. TLS estimates of above-ground biomass were more accurate than allometric scaling models, especially for larger trees. Further efforts are needed to understand and constrain TLS error sources for better accuracy. TLS-calibrated models can be a powerful tool for scaling above-ground biomass with less effort compared to destructive harvesting.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
Jonathan L. Batchelor, Todd M. Wilson, Michael J. Olsen, William J. Ripple
Summary: We have developed new measures of structural complexity using single point terrestrial laser scanning (TLS) point clouds. These metrics, which include depth, openness, and isovist, can accurately capture the structural complexity of forests without observer bias. They have the potential to quantify structural change in forest ecosystems, measure the effects of forest management activities, and describe habitat for organisms.
Article
Biodiversity Conservation
Shun Li, Tianming Wang, Zhengyang Hou, Yinan Gong, Limin Feng, Jianping Ge
Summary: Forest understory vegetation is crucial for providing food, nutrition, and habitat for wildlife. Terrestrial Laser Scanning (TLS) has the potential to improve the accuracy of predicting understory biomass and monitoring biomass changes under the influence of wildlife.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Fran Domazetovic, Ante Siljeg, Ivan Maric, Lovre Panda
Summary: In this study, a systematic framework for optimizing multi-temporal terrestrial LiDAR surveys has been developed through pre-survey planning and field preparation phases. The framework uses visibility analysis to determine optimal TLS positions, and an automated TLS positioning tool is used for the selection process. Application and validation of the framework demonstrated its accuracy and reliability in detecting and quantifying erosion induced spatio-temporal changes.
Article
Geosciences, Multidisciplinary
Qiong Zhang, Guoqing Lin, Zhongwen Zhan, Xiaowei Chen, Yan Qin, Shimon Wdowinski
GEOPHYSICAL RESEARCH LETTERS
(2017)
Article
Geochemistry & Geophysics
Yoangel Torres, Kamal Premaratne, Falk Amelung, Shimon Wdowinski
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2017)
Article
Ecology
Fernando Jaramillo, Lucia Licero, Imenne Ahlen, Stefano Manzoni, Jenny Alexandra Rodriguez-Rodriguez, Alice Guittard, Anna Hylin, Jiner Bolanos, James Jawitz, Shimon Wdowinski, Oscar Martinez, Luisa Fernanda Espinosa
Article
Environmental Sciences
Sang-Hoon Hong, Shimon Wdowinski, Falk Amelung, Hyun-Cheol Kim, Joong-Sun Won, Sang-Wan Kim
Article
Chemistry, Analytical
Marin Govorcin, Bosko Pribicevic, Shimon Wdowinski
Article
Geochemistry & Geophysics
Shanshan Li, Shimon Wdowinski, Ya-Ju Hsu, J. Bruce H. Shyu
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2020)
Article
Geosciences, Multidisciplinary
M. Govorcin, S. Wdowinski, B. Matos, G. J. Funning
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Multidisciplinary Sciences
Dario Solano-Rojas, Shimon Wdowinski, Enrique Cabral-Cano, Batuhan Osmanoglu
SCIENTIFIC REPORTS
(2020)
Article
Chemistry, Analytical
Osman Orhan, Talib Oliver-Cabrera, Shimon Wdowinski, Sefa Yalvac, Murat Yakar
Summary: This study used InSAR, GNSS, and groundwater level data to monitor land subsidence and sinkhole activity in the Karapinar basin in Turkey. The analysis revealed broad areas of subsidence and seasonal variability correlated with groundwater level changes. Results also indicated that sinkhole activity is limited to slow subsidence areas, reflecting strong cohesion of near-surface rock layers.
Article
Chemistry, Analytical
Emre Havazli, Shimon Wdowinski
Summary: This method estimates the detection threshold of InSAR time-series products through simulations of vertical stratification and turbulence mixing components of tropospheric delay. Statistical analysis shows an inverse correlation between the increase of temporal coverage and the decrease of propagated error. Validation with ERS and Envisat results confirms the effectiveness of this method.
Article
Multidisciplinary Sciences
Juan D. Restrepo-Angel, Hector Mora-Paez, Freddy Diaz, Marin Govorcin, Shimon Wdowinski, Leidy Giraldo-Londono, Marko Tosic, Irene Fernandez, Juan F. Paniagua-Arroyave, Jose F. Duque-Trujillo
Summary: Cartagena is experiencing a higher rate of sea level rise compared to the global average, largely due to vertical land movements. Geological factors account for 41% of the observed sea level rise changes, posing a significant threat to the preservation of Cartagena.
SCIENTIFIC REPORTS
(2021)
Article
Geochemistry & Geophysics
S-H Hong, S. Wdowinski, S-W Kim
Summary: The study evaluated TanDEM-X bistatic observations to extract absolute water levels in Everglades wetland in southern Florida, USA, and verified the results using water level measurements provided by the Everglades depth estimation network (EDEN). The study found an excellent agreement between the InSAR derived absolute water levels and the stage station measurements, suggesting the potential use of absolute water levels as constraints for wetland surface flow models.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Qiushi Zhai, Zhigang Peng, Lindsay Y. Chuang, Yih-Min Wu, Ya-Ju Hsu, Shimon Wdowinski
Summary: Recent studies have suggested that typhoon Morakot may have influenced subsurface earthquake activities in Taiwan, but overall, aside from a decrease in seismicity rate near the typhoon's low-pressure eye center, other seismic changes induced by the typhoon are not clearly observed.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Environmental Sciences
Boya Zhang, Shimon Wdowinski, Daniel Gann
Summary: This study developed an innovative algorithm using Sentinel-1 SAR backscatter to detect significant water-depth increases (SWDI) in wetlands caused by extreme rainfall. The algorithm successfully detected SWDI areas during a hurricane event and observed progressive expansion in non-SWDI areas post-event. With an overall accuracy of 81%, this algorithm provides an accurate mapping solution for global wetlands vulnerable to extreme rainfall.
Article
Chemistry, Analytical
Selena Chavez, Shimon Wdowinski, David Lagomasino, Edward Castaneda-Moya, Temilola Fatoyinbo, Ryan P. P. Moyer, Joseph M. M. Smoak
Summary: In September 2017, Hurricane Irma caused significant damage to the mangrove forests in South Florida, resulting in canopy defoliation, broken branches, and downed trees. Using lidar remote sensing and field data, this study assessed the damage and changes in mangrove forests from Hurricane Irma. The results showed a regional scale loss of aboveground necromass (standing dead trees) of 29% and significant damage in the Shark River area compared to other areas impacted by the hurricane or previous disturbances in the region.