Review
Ecology
Nicholas J. J. Russo, Andrew B. B. Davies, Rachel V. V. Blakey, Elsa M. M. Ordway, Thomas B. B. Smith
Summary: Vegetation structure and animal ecology form a feedback mechanism, where each influences the other. By integrating separate lines of research and utilizing remote sensing and animal tracking technologies, we can understand the consequences of these feedback loops for ecosystem functioning. Understanding how animals interact with vegetation structure in feedback loops is crucial for conserving ecosystems facing disruptions from climate and land-use change.
Editorial Material
Ecology
Hooman Latifi, Ruben Valbuena, Carlos Alberto Silva
Summary: Remote sensing and geospatial sciences have a long history in fostering research in ecology. However, the use of active remote sensing for ecological and conservation purposes is still in the early stages, with limited understanding of the implications of active sensor data. This special feature includes papers that explore the direct usage of active remote sensing techniques and interpretation of proxies derived from active data to address ecological topics.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Ecology
Aaron G. Kamoske, Kyla M. Dahlin, Quentin D. Read, Sydne Record, Scott C. Stark, Shawn P. Serbin, Phoebe L. Zarnetske
Summary: Rapid global change is impacting the diversity of tree species and essential ecosystem functions and services of forests. It is critical to understand and predict how the diversity of tree species is spatially distributed within and among forest biomes. Recently, remote sensing platforms utilizing high spectral resolution and lidar data have provided an opportunity to study biodiversity patterns across space and time.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2022)
Article
Environmental Sciences
Lorenzo Palombi, Valentina Raimondi
Summary: Marine plastic litter is a global challenge with massive plastic input to the marine environment every year. This study explores the potential of using hyperspectral fluorescence LIDAR technique to detect and characterize plastics in water, showing promising results in distinguishing different types of plastics from other marine debris. The research lays the groundwork for remote sensing of marine plastic litter.
Review
Environmental Sciences
Tarini Shukla, Wenwu Tang, Carl C. Trettin, Gang Chen, Shenen Chen, Craig Allan
Summary: Microtopography plays a crucial role in ecological, hydrological, and biogeochemical processes, but its quantification is a data-intensive challenge. Close-range remote sensing data and techniques have emerged as powerful tools to quantify microtopography. The main objective of this article is to provide a systematic framework for microtopographic studies using close-range remote sensing technologies.
Article
Optics
Toshihiro Somekawa, Jun Izawa, Masayuki Fujita, Junji Kawanaka, Hiroaki Kuze
Summary: A portable Raman lidar system has been developed for remotely detecting oil leakages in water, utilizing a frequency-doubled, Q-switched Nd:YAG laser at 532 nm. Stand-off detection of oil is achieved in a 6-m-long water tank, significantly increasing survey capability of subsea infrastructures.
Article
Engineering, Electrical & Electronic
Yongjun Zhang, Yameng Wang, Yi Wan, Wenming Zhou, Bin Zhang
Summary: In this study, we propose PointBoost, an effective sequential segmentation framework that can directly process cross-modal data of LiDAR point clouds and imagery, extracting richer semantic features from cross-dimensional and cross-modal information. Ablation experiments demonstrate that PointBoost takes full advantage of the 3-D topological structure between points and attribute information of point clouds, which is often discarded by other methods. Experiments on three multimodal datasets show that our method achieves superior performance with good generalization.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Sciences
David Wang, Damien Josset, Ivan Savelyev, Magdalena Anguelova, Stephanie Cayula, Anna Abelev
Summary: This study demonstrates the viability and potential of using above-water LiDAR remote sensing to characterize subsurface bubble plumes. After the onset of wave breaking, active wave breaking leads to a rapid increase in LiDAR backscatter, while the decay rate of LiDAR backscatter from dissipated bubble plumes is consistent with previous studies on void fraction decay rate.
Article
Environmental Sciences
Meisam Amani, Fatemeh Foroughnia, Armin Moghimi, Sahel Mahdavi, Shuanggen Jin
Summary: Progress is being made in habitat protection using satellite imagery and machine-learning models. Remote sensing datasets can discriminate habitat types and landscape structures. This study introduces a new approach to creating 3D habitat maps using high-resolution multispectral images and LiDAR-derived Digital Surface Models (DSMs) with an object-based Random Forest algorithm.
Article
Environmental Sciences
Rana Waqar Aslam, Hong Shu, Andaleeb Yaseen, Asif Sajjad, Syed Zain Ul Abidin
Summary: Apart from Ramsar Convention awareness programs, wetlands are largely neglected in developing countries. Wetland ecosystems play a crucial role in hydrological cycles, ecosystem diversity, climatic change, and economic activity. This study aims to use satellite image technology to identify underutilized wetlands in Pakistan (Borith, Phander, Upper Kachura, Satpara, and Rama Lakes), and understand their impacts from climate change, ecosystem change, and water quality. Analytical techniques, such as supervised classification and Tasseled Cap Wetness, were employed to identify the wetlands, while high-resolution images and indices were used to assess changes and water quality. The results emphasized the need for preserving these wetlands to improve ecosystem dynamics.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Ecology
Catherine Sun, Christopher Beirne, Joanna M. Burgar, Thomas Howey, Jason T. Fisher, A. Cole Burton
Summary: Vegetation phenology and productivity play a crucial role in wildlife resource use, with camera traps providing unique insights into vegetation dynamics that differ from satellite data. Restoration efforts on seismic lines in northern Canada showed some indication of vegetation recovery, with habitat use by wildlife species correlating with vegetation patterns but not consistently increasing with vegetation productivity at different temporal scales. Monitoring habitat conditions through camera traps alongside wildlife surveys can offer a more comprehensive understanding of wildlife habitat use in changing environments.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2021)
Article
Chemistry, Physical
Xuan Xu, Fedor Rudakov, Peter M. Weber
Summary: Backward transient absorption spectroscopy can identify chemical species from a distance, with high sensitivity and excellent spatial resolution.
CHEMICAL PHYSICS LETTERS
(2022)
Review
Environmental Sciences
Sijia Li, Hongliang Fang, Yinghui Zhang
Summary: The leaf inclination angle (LIA), an important parameter in various processes, can be determined through field or remote sensing methods. Field methods include direct contact, photographic, and LiDAR methods, while remote sensing methods rely on empirical, radiative transfer model, and gap fraction methods. Accuracy differs between direct and indirect methods, with direct methods suitable for individual leaves, crowns, and plots, and indirect methods preferable for crop plots. Future research should focus on improving the robustness of remote sensing LIA estimation and integrating LIA measurement into existing ground observation networks for better spatial coverage.
Article
Computer Science, Hardware & Architecture
Xin Wang, Zhilu Zhang, Huifeng Dai
Summary: In this paper, a modified CenterNet model is proposed to detect targets with angles in remote sensing images. The proposed network is sensitive to direction and achieves better accuracy and efficiency compared to state-of-the-art algorithms.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Review
Forestry
Abraham Aidoo Borsah, Majid Nazeer, Man Sing Wong
Summary: The increasing level of atmospheric carbon dioxide and its effects on the climate system have become a global environmental issue. Forest ecosystems play a vital role in stabilizing carbon in the atmosphere as a carbon sink and providing habitats for numerous species. Light detection and ranging (LIDAR) technology has revolutionized our understanding of forest structures and enhanced our ability to monitor forest biomass. This paper reviews metrics for forest biomass estimation, discusses methods for selecting metrics for biomass modeling, and addresses assessment criteria for selecting allometric equations for aboveground forest biomass estimations using LIDAR data.
Article
Automation & Control Systems
Mikkel Brydegaard, Alexander J. Thompson, Stefan Andersson-Engels, Niels Bendsoe, Katarina Svanberg, Sune Svanberg
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2015)
Article
Ecology
Mikkel Brydegaard, Samuel Jansson, Marcus Schulz, Anna Runemark
ECOLOGY AND EVOLUTION
(2018)
Article
Multidisciplinary Sciences
Elin Malmqvist, Samuel Jansson, Shiming Zhu, Wansha Li, Katarina Svanberg, Sune Svanberg, Jens Rydell, Ziwei Song, Joakim Bood, Mikkel Brydegaard, Susanne Akesson
ROYAL SOCIETY OPEN SCIENCE
(2018)
Article
Multidisciplinary Sciences
Mikkel Brydegaard, Samuel Jansson, Elin Malmqvist, Yeromin P. Mlacha, Alem Gebru, Fredros Okumu, Gerry F. Killeen, Carsten Kirkeby
Article
Biochemical Research Methods
Meng Li, Samuel Jansson, Anna Runemark, Jonathan Peterson, Carsten Thure Kirkeby, Anna Maria Jonsson, Mikkel Brydegaard
Summary: This study characterizes the light scattering from European spruce bark beetles and explores the feasibility of using entomological lidar for long-term monitoring of these beetles. The research shows that lidar has the potential to simultaneously monitor insects and pheromones, making it a promising tool for bark beetle monitoring.
JOURNAL OF BIOPHOTONICS
(2021)
Article
Multidisciplinary Sciences
Samuel Jansson, Elin Malmqvist, Yeromin Mlacha, Rickard Ignell, Fredros Okumu, Gerry Killeen, Carsten Kirkeby, Mikkel Brydegaard
Summary: Research using high-resolution lidar monitored mosquito behavior over rice fields outside a Tanzanian village, revealing different range distributions and spatial behavioral features of male and female mosquitoes. The findings demonstrate how lidar-based monitoring can significantly improve understanding of malaria vector ecology and control options.
Article
Ecology
Simon Jacobsen Ellerstrand, Shruti Choudhury, Kajsa Svensson, Martin N. Andersson, Carsten Kirkeby, Daniel Powell, Fredrik Schlyter, Anna Maria Jonsson, Mikkel Brydegaard, Bengt Hansson, Anna Runemark
Summary: Research shows that the population structure of the Eurasian spruce bark beetle in Sweden is weak, indicating a high capacity for dispersion and establishment of outbreak populations in new territories.
ECOLOGY AND EVOLUTION
(2022)
Article
Engineering, Electrical & Electronic
Hampus Manefjord, Lauro Muller, Meng Li, Jacobo Salvador, Sofia Blomqvist, Anna Runemark, Carsten Kirkeby, Rickard Ignell, Joakim Bood, Mikkel Brydegaard
Summary: This paper presents a compact and inexpensive hyperspectral fluorescence lidar and demonstrates its application in insect research. The new technique allows for efficient measurement and identification of tagged insects in terms of distance, spectral, and temporal resolution, providing a new tool for ecological studies.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Rabbi Boateng, Andrew Atiogbe Huzortey, Yatana Adolphe Gbogbo, Assoumou saint-doria Yamoa, Jeremie T. T. Zoueu, Mikkel Brydegaard, Benjamin Anderson, Hampus Manefjord
Summary: The characterization of vegetation using spectral imaging and lidar methods is important for understanding plants and their impact on food security, biodiversity, and vegetation health in a changing climate. However, post-processing and data fusion of hyperspectral imaging, canopy lidar, and solar-induced fluorescence data face challenges due to differences in instruments. In this study, a low-cost and lightweight instrument was developed in Ghana to simultaneously acquire hyperspectral data on vegetation fluorescence and canopy structure with perfect spatial overlap. The application of this instrument for diagnostics and species specificity of locally significant crops was demonstrated, providing valuable information on plant physiology, vegetation height, and diversity.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Meng Li, Anna Runemark, Noelie Guilcher, Julio Hernandez, Jadranka Rota, Mikkel Brydegaard
Summary: Due to the decline in insect diversity and populations, there is an increased need for monitoring insects. Entomological lidars and photonic sensors can remotely identify and monitor flying insects by analyzing their backscattered signal. It has been discovered that the backscattered light from insects primarily comes from their wings, and the thin membranes of these wings can display unique soap-bubble colors associated with wing thickness. With a hyperspectral camera, these colors can be captured and used to accurately identify wing thickness. The study demonstrates that spectral fringes can provide complementary information for remote species identification.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Chemistry, Multidisciplinary
Meng Li, Anna Runemark, Julio Hernandez, Jadranka Rota, Rune Bygebjerg, Mikkel Brydegaard
Summary: This study utilizes spectral analysis and hyperspectral imaging to remotely identify and monitor insect species and sexes by studying wing interference signals. The research achieves high accuracy in identification and provides new insights into hover fly biology, offering promising developments in automated pollinator surveillance.
Article
Multidisciplinary Sciences
Meng Li, Clara Seinsche, Samuel Jansson, Julio Hernandez, Jadranka Rota, Eric Warrant, Mikkel Brydegaard
Summary: In this study, infrared polarimetric hyperspectral imaging was used to analyze wing characteristics of moth species. It was found that the wings appeared glossy and reflective under infrared light, providing a unique way to differentiate between different species. Using comprehensive models, the spectral, polarimetric, and angular optical properties of the wings could be reduced to just 11 parameters, which were significantly different between species. These findings have the potential to greatly enhance remote identification of free-flying moth species.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2022)