Review
Geography, Physical
Nathan Sanchiz-Viel, Estelle Bretagne, El Mustapha Mouaddib, Pascal Dassonvalle
Summary: In addition to measuring spatial information, LiDAR sensor systems also measure an intensity scalar which corresponds to the amplitude of the backscattered laser beam. However, due to dependencies of geometrical parameters and processing modifications, this information cannot be directly used. Efforts are being made in the research community to convert this signal into a value that could bring qualitative and quantitative new applications.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Remote Sensing
Jianru Yang, Kai Tan, Shuai Liu, Weiguo Zhang, Pengjie Tao
Summary: A new method is proposed to automatically detect and extract inshore marine litters (IML) from terrestrial laser scanning (TLS) 3D point clouds. The method shows good robustness performance in different natural scenes and has great potential for the interpretation of IML in space and time.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Andrea Jalandoni, W. Ross Winans, Mark D. Willis
Summary: Terrestrial laser scanning intensity values can reveal hidden painted rock art behind graffiti and moss, providing archaeologists with a new tool for detecting obscured rock art in limestone caves. This method can assist in the interpretation of black painted rock art, which is common globally.
Article
Environmental Sciences
S. Junttila, T. Holtta, E. Puttonen, M. Katoh, M. Vastaranta, H. Kaartinen, M. Holopainen, H. Hyyppa
Summary: Extreme events in the past decades have led to an increase in drought-induced plant mortality globally. Timely information on plant water dynamics is crucial for understanding and predicting such mortality. Research has shown that using terrestrial laser scanning (TLS) intensity measurements can capture a significant portion of diurnal variation in leaf water potential (Psi(L)), enhancing our understanding of plant water dynamics.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Wenxin Tian, Lingli Tang, Yuwei Chen, Ziyang Li, Jiajia Zhu, Changhui Jiang, Peilun Hu, Wenjing He, Haohao Wu, Miaomiao Pan, Jing Lu, Juha Hyyppa
Summary: The study focused on the radiometric calibration method for the incidence angle effect of Hyperspectral LiDAR, proposing a Lambertian-Beckmann model to address the issue caused by the angle of incidence. This model quantified the difference between diffuse and specular reflectance coefficients successfully, resulting in higher calibration accuracy compared to the Lambertian model. Furthermore, the study revealed an average improvement rate of 22.67% to the samples and a substantial average improvement rate of 62.26% for incidence angles less than 70 degrees. Additionally, the research discovered a significant specular reflection effect in green leaves near 650-720 nm, potentially related to the internal microstructure of chlorophyll, with the Lambertian-Beckmann model being more beneficial for leaf calibration in the visible wavelength range.
Article
Environmental Sciences
Hailan Jiang, Ronghai Hu, Guangjian Yan, Shiyu Cheng, Fan Li, Jianbo Qi, Linyuan Li, Donghui Xie, Xihan Mu
Summary: The study introduces a method for estimating Leaf Angle Distribution (LAD) in forest canopy structure and evaluates the impact of occlusion effect on LAD estimation. Results show that higher point density and increasing scanner height improve estimation accuracy. The study suggests that the occlusion effect, especially for taller trees, should be further examined in future research.
Article
Geography, Physical
Jing Qiao, Tomislav Medic, Andreas Baumann-Ouyang
Summary: We propose an in situ self-calibration method that matches intensity features on local planes in overlapping point clouds using the Forstner operator. The method successfully matches intensity features from scans at different locations by matching on common local planes rather than rasterised grids. The proposed algorithm achieves accurate calibration of model parameters without any on-site preparation.
PHOTOGRAMMETRIC RECORD
(2023)
Article
Environmental Sciences
Valeria Di Biase, Ramon F. Hanssen, Sander E. Vos
Summary: The study assessed the performance of a permanent terrestrial laser scanner in regularly scanning a coastal beach area from a high position and proposed a new calibration curve for estimating soil moisture. By matching ground-truth measurements with reflectance measurements and using interpolation, the evaluation of soil moisture at a high spatiotemporal resolution was achieved.
Article
Geochemistry & Geophysics
Kai Tan, Weiguo Zhang, Zhen Dong, Xiaolong Cheng, Xiaojun Cheng
Summary: Terrestrial laser scanning (TLS) technology can effectively retrieve the structural and biophysical attributes of trees by separating leaf and wood points using intensity and density data. The proposed method shows a high accuracy and efficiency in separating leaf and wood points, and can be robustly applied to various trees with different characteristics.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Lei Lei, Zhenhong Li, Jintao Wu, Chengjian Zhang, Yaohui Zhu, Riqiang Chen, Zhen Dong, Hao Yang, Guijun Yang
Summary: This study presented two methods, machine learning-based and structure-based, to extract leaf base and inclination angles of maize plants. The machine learning-based method demonstrated higher estimation accuracy compared to the structure-based method. The results showed good agreement with the ground truth, indicating the effectiveness of both methods in estimating leaf base and inclination angles of maize plants.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
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
Environmental Sciences
Andres Kuusk, Allan Sims
Summary: This study validates the hot-spot theoretical model in the Jarvselja RAMI pine stand using extensive terrestrial laser scanning (TLS) measurements. A point cloud of laser hits with a resolution of 1 cm was created to describe the spatial structure of the crown layer. The study found that the determined value of the hotspot parameter agrees well with the value estimated indirectly from measurements of reflectance profile.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Remote Sensing
Martin Mokros, Tomas Mikita, Arunima Singh, Julian Tomastik, Juliana Chuda, Piotr Wezyk, Karel Kuzelka, Peter Surovy, Martin Klimanek, Karolina Zieba-Kulawik, Rogerio Bobrowski, Xinlian Liang
Summary: The development of devices capable of generating 3D point clouds of the forest has flourished in recent years. Low-cost technologies such as MultiCam, iPad Pro, GeoSlam Horizon, and FARO Focus s70 were compared for tree detection and diameter at breast height estimation. Results showed that TLS provided the most accurate data, while iPad Pro achieved results closest to TLS when DBH > 7 cm.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Plant Sciences
Atticus E. L. Stovall, Benjamin Masters, Lola Fatoyinbo, Xi Yang
Summary: TLSLeAF is an automated open-source method for deriving Leaf Angle Distribution (LAD) from terrestrial laser scanning data, which increases processing speed and accuracy. Key features of this method include automation, leaf-wood classification, beta parameter output, and implementation in R for enhanced accessibility in the ecology community.
Article
Forestry
Cornelis Stal, Jeffrey Verbeurgt, Lars De Sloover, Alain De Wulf
Summary: Sustainable forest management depends on accurate estimation of tree parameters, particularly the DBH for volume and mass extraction. This study showed that HMTLS is a useful alternative technique for precisely and efficiently calculating DBH, with comparable parameters to STLS and ALS data sets but significantly reduced acquisition time.
JOURNAL OF FORESTRY RESEARCH
(2021)
Article
Geochemistry & Geophysics
Jingbin Liu, Juha Hyyppa, Xiaowei Yu, Anttoni Jaakkola, Antero Kukko, Harri Kaartinen, Lingli Zhu, Xinlian Liang, Yunsheng Wang, Hannu Hyyppa
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2017)
Article
Geography, Physical
Ninni Saarinen, Ville Kankare, Mikko Vastaranta, Ville Luoma, Jiri Pyorala, Topi Tanhuanpaa, Xinlian Liang, Harri Kaartinen, Antero Kukko, Anttoni Jaakkola, Xiaowei Yu, Markus Holopainen, Juha Hyyppa
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2017)
Article
Geography, Physical
Antero Kukko, Risto Kaijaluoto, Harri Kaartinen, Ville V. Lehtola, Anttoni Jaakkola, Juha Hyyppa
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2017)
Article
Forestry
Juha Hyyppa, Juho-Pekka Virtanen, Anttoni Jaakkola, Xiaowei Yu, Hannu Hyyppa, Xinlian Liang
Article
Environmental Sciences
Yuwei Chen, Teemu Hakala, Mika Karjalainen, Ziyi Feng, Jian Tang, Paula Litkey, Antero Kukko, Anttoni Jaakkola, Juha Hyyppa
Article
Environmental Sciences
Ville V. Lehtola, Harri Kaartinen, Andreas Nuechter, Risto Kaijaluoto, Antero Kukko, Paula Litkey, Eija Honkavaara, Tomi Rosnell, Matti T. Vaaja, Juho-Pekka Virtanen, Matti Kurkela, Aimad El Issaoui, Lingli Zhu, Anttoni Jaakkola, Juha Hyyppa
Article
Geography, Physical
Xinlian Liang, Antero Kukko, Juha Hyyppa, Matti Lehtomaki, Jiri Pyorala, Xiaowei Yu, Harri Kaartinen, Anttoni Jaakkola, Yunsheng Wang
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2018)
Article
Biology
Sanna Kaasalainen, Markku Akerblom, Olli Nevalainen, Teemu Hakala, Mikko Kaasalainen
Article
Geography, Physical
Yunsheng Wang, Matti Lehtomaki, Xinlian Liang, Jiri Pyorala, Antero Kukko, Anttoni Jaakkola, Jingbin Liu, Ziyi Feng, Ruizhi Chen, Juha Hyyppa
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2019)
Article
Construction & Building Technology
Matti Lehtomaki, Antero Kukko, Leena Matikainen, Juha Hyyppa, Harri Kaartinen, Anttoni Jaakkola
AUTOMATION IN CONSTRUCTION
(2019)
Article
Optics
Julian Ilinca, Sanna Kaasalainen, Tuomo Malkamaki, Teemu Hakala
Article
Geography, Physical
J. Salmela, E. Kasvi, M. T. Vaaja, H. Kaartinen, A. Kukko, A. Jaakkola, P. Alho
Article
Optics
Sanna Kaasalainen, Tuomo Malkamaki
Article
Multidisciplinary Sciences
Tua Nylen, Elina Kasvi, Jouni Salmela, Harri Kaartinen, Antero Kukko, Anttoni Jaakkola, Juha Hyyppa, Petteri Alho
Article
Forestry
Mikko Vastaranta, Tuomas Yrttimaa, Ninni Saarinen, Xiaowei Yu, Mika Karjalainen, Kimmo Nurminen, Kirsi Karila, Ville Kankare, Ville Luoma, Jiri Pyorala, Samuli Junttila, Topi Tanhuanpaa, Harri Icaartinen, Antero Kukko, Eija Honkavaara, Anttoni Jaakkola, Xinlian Liang, Yunsheng Wang, Matti Vaaja, Hannu Hyyppa, Masato Katoh, Michael A. Wulder, Markus Holopainen, Juha Hyyppa