Article
Environmental Sciences
Lingfeng Liao, Shengjun Tang, Jianghai Liao, Xiaoming Li, Weixi Wang, Yaxin Li, Renzhong Guo
Summary: This paper proposes a robust and effective point cloud classification method that integrates point cloud supervoxels and their locally convex connected patches into a random forest classifier. It improves the accuracy of point cloud feature calculation and reduces computational cost. Two benchmark tests show that the proposed method achieves state-of-the-art performance and successfully classifies point clouds with great variation in challenging scenes.
Article
Geochemistry & Geophysics
Xiang Huang, Feng Cheng, Jinliang Wang, Ping Duan, Jiasheng Wang
Summary: This research improves the extraction method of forest canopy height based on the ICESat-2/ATLAS theoretical algorithm. An adaptive filter is proposed to adapt to different signal-to-noise ratio scenarios. Then, the discontinuous data are detrended in sections and the iterative filtering algorithm is employed to fit the ground curve, accurately identifying the data of ground and nonground photons. Finally, the percentile statistics method is utilized to extract the canopy-top photons.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Computer Science, Artificial Intelligence
Tiebo Sun, Jinhao Liu, Jiangming Kan, Tingting Sui
Summary: An improved random forest point cloud classification algorithm was proposed to address the automatic classification problem in the investigation of vegetation resources in straw checkerboard barriers region. By optimizing decision tree similarity, constructing weight matrix, and feature optimization, the algorithm achieved high classification accuracy in the experimental results.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Environmental Sciences
Martin Stroner, Rudolf Urban, Lenka Linkova
Summary: This paper presents a newly developed multidirectional shift rasterization (MDSR) filter, which excellently identifies ground points with high accuracy while filtering out most vegetation and above-ground points, outperforming other commonly used filters.
Article
Computer Science, Artificial Intelligence
Rongkang Li, Yumeng Zhang, Dongmei Niu, Guangchao Yang, Numan Zafar, Caiming Zhang, Xiuyang Zhao
Summary: This paper introduces the usage of point convolution and point pooling on irregular point cloud data for learning high-level features. By applying these techniques, accurate shape information and geometric representation of point clouds can be achieved, leading to outstanding results in tasks like object classification and part segmentation.
Article
Environmental Sciences
Shaolei Liu, Kexue Fu, Manning Wang, Zhijian Song
Summary: In this paper, a transformer-based network for point cloud learning is proposed, which effectively models global and local information and enhances the feature representation through radius-based density features. Extensive evaluation demonstrates the effectiveness and competitive performance of the proposed method in point cloud classification and part segmentation.
Article
Chemistry, Multidisciplinary
Mingrui Dai, Guohua Li
Summary: As the usage of three-dimensional (3D) laser scanner becomes prevalent for forest inventory, the analysis and processing of point cloud data captured with a 3D laser scanner have gained significant research attention. Extracting individual trees from point cloud data is crucial for further investigation at the tree-level analysis, such as tree counting and trunk analysis, leading to multiple advancements in this area. However, accurately and automatically obtaining the tree crown silhouette from the point cloud data is challenging due to the frequent overlap between adjacent tree crowns. To address this issue, a soft segmentation method utilizing K-Nearest Neighbor (KNN) and contour shape constraints has been proposed, resulting in improved visual effect and precision of point cloud segmentation. In conclusion, the proposed method demonstrates a successful approach for tree crown segmentation and silhouette reconstruction from terrestrial laser scanning point cloud data of forests.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Ziyang Wang, Lin Yang, Yehua Sheng, Mi Shen
Summary: This paper proposes a method for segmenting pole-like objects under geometric structural constraints and combines classification results at different scales to effectively extract pole-like objects from point clouds in road scenes, achieving high-precision classification and identification.
Article
Engineering, Electrical & Electronic
Tiecheng Sun, Guanghui Liu, Ru Li, Shuaicheng Liu, Shuyuan Zhu, Bing Zeng
Summary: In this paper, a novel point-to-surface representation for 3D point cloud learning is introduced. The method learns a set of quadratic terms to describe 3D shapes and builds connections between local points and global reference surfaces. Experimental results demonstrate the effectiveness of the proposed method in 3D classification and segmentation tasks.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Biology
Davide Moccia, Laura Carugati, Maria Cristina Follesa, Rita Cannas, Pierluigi Carbonara, Antonio Pusceddu, Alessandro Cau
Summary: This study assessed the environmental status of seven black coral forests in the Mediterranean Sea. The results showed that different geomorphological settings and human activities have an impact on the environmental status of these forests. Most of the forests showed a high and good environmental status, while two forests had a moderate and poor status.
Article
Computer Science, Artificial Intelligence
Zijin Du, Hailiang Ye, Feilong Cao
Summary: This paper introduces a novel convolution block EPFM-Conv, which effectively integrates graph-based method and point-based strategy for extracting local and global features of point cloud. By constructing dynamic graphs and designing edge and point branches, rich detailed features are extracted, while grouped residual learning is used to deepen the network.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Environmental Sciences
Genping Zhao, Weiguang Zhang, Yeping Peng, Heng Wu, Zhuowei Wang, Lianglun Cheng
Summary: This paper introduces an efficient deep neural network for 3D LiDAR point cloud classification, achieving effective feature learning and relationship encoding through Point Expanded Grouping and Spatial Embedding units. Compared to other methods, the accuracy improved by 2% while achieving a 26% increase in efficiency on public datasets.
Article
Chemistry, Analytical
Qiang Zheng, Jian Sun, Wei Chen
Summary: This paper explores the relationship between local features and their spatial characteristics, and proposes a concise architecture to effectively integrate them in point cloud analysis. The proposed model achieves comparable performance with previous state-of-the-art methods by extracting features and supplementing distribution information.
Article
Computer Science, Artificial Intelligence
Wei Zhou, Yiheng Zhao, Yi Xiao, Xuanlin Min, Jun Yi
Summary: This paper proposes a novel hierarchical local-global framework based on the Transformer network for point cloud classification, named TNPC. The framework reduces computation and memory consumption by implementing downsampling operation and utilizing parallel branches. Experimental results show that the proposed method achieves state-of-the-art performance in terms of classification accuracy and efficiency.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Environmental Sciences
Lorena Gonzalez-Paz, Cristina Delgado, Isabel Pardo
Summary: Good ecological status varies depending on national criteria, typology approach, and classification systems used. Establishing nutrient criteria that consistently support good ecological status is important for river management. The study analyzes different ecological statuses based on typology, classification systems, and biological elements, and discusses the implications for river management. The results suggest that current nutrient criteria should be revised to provide a more ecologically coherent approach to preserving or restoring good ecological status.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Forestry
Monica Rivas Casado, Patricia Bellamy, Paul Leinster, Paul J. Burgess
Summary: This study looked at changes in soil carbon in woodlands, finding significant reductions in topsoil organic carbon content in first rotation woodlands, while no significant changes were observed in second rotation and historic woodlands. The average age of first rotation woodlands was 42 years, indicating a potential 40-year period of significant soil carbon loss.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Review
Biochemical Research Methods
Carlo Cerrano, Marco Giovine, Laura Steindler
Summary: The microbial community of the marine sponge Petrosia ficiformis plays a fundamental role in the synthesis of natural bioactive compounds. With its unique horizontal transmission feature and ability to generate 3D cell cultures, P. ficiformis is an ideal model for studying the complexity of holobionts.
CURRENT OPINION IN BIOTECHNOLOGY
(2022)
Article
Marine & Freshwater Biology
Torcuato Pulido Mantas, Lisa Pola, Carlo Cerrano, Maria Cristina Gambi, Barbara Calcinai
Summary: This study investigates the bioerosion activity in the North Adriatic Sea. Limestone panels were deployed and micro-computed tomography was used to study the erosion. The results show that only two species of the polychaete genus Polydora settled on the experimental substrates, and the erosion rate is low.
Review
Biology
Ernesto Mollo, Ferdinando Boero, Josep Penuelas, Angelo Fontana, Mary J. Garson, Vassilios Roussis, Carlo Cerrano, Gianluca Polese, Alberto Maria Cattaneo, I. Wayan Mudianta, Gregory Genta-Jouve, Orazio Taglialatela-Scafati, Giovanni Appendino, Pietro Amodeo, Michael T. Ghiselin
Summary: Smell is traditionally considered a distance sense while taste is perceived as based on direct contact, but evidence has emerged that challenges this dichotomy, especially in non-human species. Conflicting data has been interpreted to conform to the traditional separation. Therefore, we propose unifying all chemosensory modalities into a single sense, developing a comprehensive perspective on chemical communication.
QUARTERLY REVIEW OF BIOLOGY
(2022)
Review
Environmental Sciences
Jan Bierwirth, Torcuato Pulido Mantas, Juliette Villechanoux, Carlo Cerrano
Summary: Marine sponges play important roles in various ecosystems, but their diversity and abundance are being compromised by human and environmental pressures worldwide. Researchers reviewed experiences in sponge cultivation and provided a roadmap for restoring coastal sponge populations. They found that sponge cultivation is highly species-dependent and suggested using skeletal consistency and taxonomy to determine appropriate restoration techniques.
Article
Environmental Sciences
Juliette Villechanoux, Jan Bierwirth, Torcuato Pulido Mantas, Carlo Cerrano
Summary: Corallium rubrum, an important ecosystem service provider, has been heavily exploited over the centuries. Protection and restoration efforts are crucial, particularly in areas where natural recovery is hindered. This study reviewed previous research and tested various transplantation techniques, providing potential methods for successful restoration.
Article
Engineering, Civil
Michail L. Giannitsopoulos, Paul Leinster, David Butler, Mike Smith, Monica Rivas Casado
Summary: This study examines the variability in the strategy of using Unmanned Aerial Systems (UAS) for data collection and processing during flood emergency events in England. The survey results highlight the importance of reducing equipment assembly time, establishing a network of qualified UAS pilots, and effective on-site UAS deployment in reducing the response time to flood emergencies. Clear guidelines and standards may be necessary to improve data collection and interpretation. Releasing a comprehensive documentation pack for UAS pilots involved in flood emergency calls can enhance timely response.
AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY
(2022)
Article
Ecology
Marcio A. G. Coelho, Gareth A. Pearson, Joana R. H. Boavida, Diogo Paulo, Didier Aurelle, Sophie Arnaud-Haond, Daniel Gomez-Gras, Nathaniel Bensoussan, Paula Lopez-Sendino, Carlo Cerrano, Silvija Kipson, Tatjana Bakran-Petricioli, Eliana Ferretti, Cristina Linares, Joaquim Garrabou, Ester A. Serrao, Jean-Baptiste Ledoux
Summary: This study found clear differentiation between Atlantic and Mediterranean lineages of the octocoral genus Paramuricea previously identified as P. clavata. Additionally, it identified a potential speciation event within the Atlantic population of P. cf. grayi involving two color morphotypes. These findings have important implications for conservation planning and validate the usefulness of phylotranscriptomics in resolving evolutionary relationships in octocorals.
ECOLOGY AND EVOLUTION
(2023)
Article
Marine & Freshwater Biology
Camilla Roveta, Torcuato Pulido Mantas, Jan Bierwirth, Barbara Calcinai, Martina Coppari, Cristina Gioia Di Camillo, Stefania Puce, Juliette Villechanoux, Carlo Cerrano
Summary: Modular colonial benthic organisms have the ability to adapt to fluctuations in environmental factors through phenotypic plasticity. However, abrupt environmental changes can limit their adaptive capabilities, leading to mass mortalities. Decreased body size is a common response to global warming in both terrestrial and aquatic organisms.
Article
Multidisciplinary Sciences
Torcuato Pulido Mantas, Camilla Roveta, Barbara Calcinai, Martina Coppari, Cristina Gioia Di Camillo, Veronica Marchesi, Teo Marrocco, Stefania Puce, Carlo Cerrano
Summary: This study used SfM photogrammetry to assess the abundance and spatial distribution of benthic organisms inside a semi-submerged marine cave, with a special focus on the impact of illegal fishing on a particular mussel species. The results showed that SfM and traditional approaches provided similar results in terms of species richness, percentage cover, and most seascape metrics, but differed in taxa density estimations.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Rakhee Ramachandran, Yadira Bajon Fernandez, Ian Truckell, Carlos Constantino, Richard Casselden, Paul Leinster, Monica Rivas Casado
Summary: With the increase in rainfall intensity, population, and urbanised areas, surface water flooding is becoming a growing concern. This study compares two survey strategies commonly used by flood practitioners and develops guidelines on where to use each strategy. The findings will help improve the representation of flood features in models and increase the ability to identify high flood-risk areas accurately.
Article
Engineering, Marine
Marco Bertolino, Carlo Cerrano, Giorgio Bavestrello, Do Cong Thung, Laura Nunez-Pons, Francesca Rispo, Jana Efremova, Valerio Mazzella, Daisy Monica Makapedua, Barbara Calcinai
Summary: During scientific expeditions in Indonesia and Vietnam, sponge specimens of the genus Cladocroce were collected. By integrating morphological and molecular analyses, three congeneric species were identified using species delimitation models and phylogenetic approaches. Two new species, C. pansinii sp. nov. and C. lamellata sp. nov., were formally described. The re-examination of type material confirmed the coexistence of C. burapha with C. pansinii sp. nov. in Vietnam and with C. lamellata in Indonesia.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Medicinal
Eleonora Tassara, Caterina Oliveri, Luigi Vezzulli, Carlo Cerrano, Lian Xiao, Marco Giovine, Marina Pozzolini
Summary: This study evaluated the in vitro application of 2D collagen membranes derived from a marine sponge as a possible tool for wound healing. The results showed that the collagen membranes had good performance in terms of preventing liquid and protein loss, inhibiting bacterial infiltration, and promoting fibronectin production. Further studies and development of this marine-derived biomaterial are therefore important.
Article
Engineering, Environmental
Ildefonso Rocamora, Stuart T. Wagland, Monica Rivas Casado, Francis Hassard, Raffaella Villa, Miriam Peces, Edmon W. Simpson, Oliver Fernandez, Yadira Bajon-Fernandez
Summary: Dry anaerobic digestion often leads to inhibitors accumulation, which can be solved by adapting operation. This study investigates the impacts of different strategies on stability in two full-scale dry AD plants. The addition of compost reduces volatile fatty acids but decreases methane flow when the compost constitutes more than 10.1% of the incoming feedstock. In batch dry AD, methane yields increase with percolate recirculation but decrease with higher volumes, possibly due to pile compaction and inhibitors accumulation.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Remote Sensing
Ben Mcilwaine, Monica Rivas Casado, Toby Waine
Summary: This paper investigates the optimal flight search patterns for detecting marine ingress bloom events using unmanned aircraft systems. It examines the detection performance of four flight search patterns against different bloom shapes through Monte-Carlo simulations. The study proposes a two phased flight approach and compares the performance of visual line of sight, extended visual line of sight, and beyond visual line of sight operations. The results show that parallel sweep and expanding square are the best performing flight search patterns, and beyond visual line of sight operations significantly increase the detection frequency of bloom events.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)