Article
Environmental Sciences
Jussi Juola, Aarne Hovi, Miina Rautiainen
Summary: In this study, a new close-range sensing technology - a portable, pushbroom hyperspectral camera - was tested for in situ collection of stem bark spectra in forests. The study found that changes in measurement conditions, particularly in illumination, had a significant effect on the quality of the collected data. Diffuse overcast days with clouds were found to be practical for acquiring hyperspectral images of stem bark.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Anthony Finn, Stefan Peters, Pankaj Kumar, Jim O'Hehir
Summary: In this study, a fast, automated, and computationally robust technique for georectification and mosaicking of hyperspectral images is proposed to generate accurate 3D hyperspectral point clouds. The technique examines, repairs, and integrates individual hyperspectral cubes before aligning them with a luminance-normalized orthomosaic obtained using a standard RGB camera and SfM. The resulting 2D hyperspectral mosaic is then transformed into a 3D point cloud, demonstrating high spatial accuracy.
Article
Optics
Caixun Bai, Jianxin Li, Guomei Wang, Cheng Lu, Huanian Zhang, Yue Zhao, Wenfei Zhang, Shenggui Fu
Summary: This paper presents a dual-shearing interferometer (DSI) for multimodal hyperspectral imaging. Two pairs of orthogonally stacked coherent beams are generated by novel birefringent lateral shear-ing splitters. Two sets of interferograms with full pixel resolution are captured alternately in a time sequence in the double Nyquist frequency mode. The feasibility of other modes is discussed, and the proposed method improves the instrument's performance in terms of field of view, polarization, spectral resolution, and spectral range.
Article
Optics
Yaoyao Hu, Chengwen Liu, Zi Heng Lim, Yi Qi, Haoyang Sun, Jun Chang, Guangya Zhou
Summary: The time-delay integration (TDI) technique is used to improve the signal-to-noise ratio (SNR) of remote sensing and imaging through multiple exposures. Inspired by TDI, we propose a TDI-like pushbroom multi-slit hyperspectral imaging (MSHSI) approach, using multiple slits to enhance sensitivity and SNR. We establish a linear dynamic model for pushbroom MSHSI and employ the Kalman filter (KF) for image reconstruction on a single image sensor. Experimental results show a significant SNR improvement compared to the single slit mode.
Article
Chemistry, Analytical
Guoxuan Liu, Huaidong Yang, Hansen Zhao, Yinxin Zhang, Sichun Zhang, Xinrong Zhang, Guofan Jin
Summary: The study developed hyperspectral SIM technology, enabling high-speed spectral super-resolution imaging in SIM for the first time. By optically mapping the three-dimensional datacube of the sample to the detector plane, it allows simultaneous detection and retention of sample spectrum information.
ANALYTICAL CHEMISTRY
(2021)
Article
Environmental Sciences
Jingmei Li, Lingling Ma, Yongxiang Fan, Ning Wang, Keke Duan, Qijin Han, Xuyuan Zhang, Guozhong Su, Chuanrong Li, Lingli Tang
Summary: This paper presents a novel method for precisely stitching images acquired from multiple pushbroom imagers, which involves building a relative orientation model and adopting a rigorous geometric imaging model to generate a seamless stitching image. The results demonstrate that the stitching accuracy is better than two pixels, providing an efficient solution for stitching airborne multiple pushbroom images and generating a seamless stitching image with wide FOV.
Article
Optics
Fengdi Zhang, Wenbin Xu, Zhuoyu Zhang, Yuning Gao, Zheng Zhou, Xiaoyu Cui, Hao Lei, Shuo Chen
Summary: Programmable hyperspectral imaging is an efficient technique for fast target classification, with a novel splitting strategy proposed to reduce the number of filters while maintaining classification performance. Numerical simulation experiments showed that the proposed splitting strategy can achieve similar classification performance with a reduced number of filters by 25% to 80%.
Article
Optics
Qi Cui, Jongchan Park, Yayao Ma, Liang Gao
Summary: We propose a novel imaging method, Hyper-LIFT, which can capture 5D data of an object in a single snapshot. Using a combination of prism and lens arrays, this system efficiently records spectral volumetric scenes.
Article
Engineering, Multidisciplinary
Sneha Sharma, K. C. Sumesh, Panmanas Sirisomboon
Summary: This research explored the potential of a pushbroom near infrared hyperspectral imaging system for classifying the ripening stage of durian pulp based on days after anthesis and predicting the dry matter content. Various supervised machine learning classifiers and statistical models were used and compared. The results demonstrate that the system can accurately identify the ripeness of durian, predict the dry matter content, and visualize the spatial distribution of pulp. This approach can be applied in the packaging industry to address issues related to uneven ripening and quality inspection of durian based on dry matter content.
Article
Chemistry, Analytical
Mohammad Al Ktash, Mona Stefanakis, Barbara Boldrini, Edwin Ostertag, Marc Brecht
Summary: A laboratory prototype for hyperspectral imaging in the UV region was developed to characterize active pharmaceutical ingredients in tablets. The prototype successfully differentiated drug samples using principal component analysis, showing potential for large-scale application. The rugged design of the prototype opens new possibilities for further development of the technique.
Article
Optics
Ruixuan Zhao, Qi Cui, Zhaoqiang Wang, Liang Gao
Summary: Multidimensional imaging is capable of acquiring spatial, spectral, and depth information about a scene simultaneously. However, existing approaches suffer from prolonged acquisition times and increased system complexity. To tackle this challenge, a novel compressed sensing scheme called CASH-LIFT has been developed, which distributes computation load to each stage and improves spatial resolution and spectral fidelity.
Article
Multidisciplinary Sciences
Jingang Zhang, Runmu Su, Qiang Fu, Wenqi Ren, Felix Heide, Yunfeng Nie
Summary: Hyperspectral imaging captures abundant spatial and spectral information, but the expensive and complicated devices hinder its application in consumer electronics. Computational spectral imaging methods can reconstruct hyperspectral information from RGB images, eliminating the need for spectral camera hardware. This review investigates state-of-the-art spectral reconstruction methods and categorizes them into prior-based and data-driven methods. It identifies challenges and trends for future work, highlighting the potential of learnable methods with fine feature representation abilities.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Analytical
Mohammad Al Ktash, Mona Stefanakis, Frank Wackenhut, Volker Jehle, Edwin Ostertag, Karsten Rebner, Marc Brecht
Summary: UV hyperspectral imaging was used to identify and quantify honeydew in cotton samples. The implementation of a non-destructive imaging modality allowed for the prediction and classification of sugar and honeydew content. The chemometric models, including PCA and PLS-R, showed reliable performance in predicting honeydew content in grams for each pixel of the cotton samples.
Article
Geochemistry & Geophysics
Lina Zhuang, Michael K. Ng, Yao Liu
Summary: This article introduces the working principle of a hyperspectral pushbroom sensor and addresses the cross-track illumination error issue. A mathematical model is developed to describe the image formation process corrupted by this error and additive Gaussian noise. A new method called HyCIC is proposed, which corrects the cross-track illumination using column mean compensation and attenuates the Gaussian noise using low-rank constraint.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Optics
Jingyuan Zhu, Siliang Zhou, Yi Ning, Xiong Dun, Siyu Dong, Zhanshan Wang, Xinbin Cheng
Summary: This paper proposes a new idea of integrated color filter arrays (CFAs) consisting of multilayer metal-dielectric-mirror FP microcavities, which enable a hyperspectral resolution over an extended visible bandwidth (-300 nm). By introducing additional dielectric layers on the metallic film, the reflectance of the FP-cavity mirror is enhanced, resulting in balanced spectral resolution (-10 nm) and spectral bandwidth from 450 nm to 750 nm. A 16-channel CFA is fabricated using grayscale e-beam lithography and demonstrated on-chip spectral imaging with a CMOS sensor. This research provides an attractive method for developing high-performance spectral sensors and has potential commercial applications through low-cost manufacturing process.
Article
Meteorology & Atmospheric Sciences
Carsten Warneke, Joshua P. Schwarz, Jack Dibb, Olga Kalashnikova, Gregory Frost, Jassim Al-Saad, Steven S. Brown, Wm Alan Brewer, Amber Soja, Felix C. Seidel, Rebecca A. Washenfelder, Elizabeth B. Wiggins, Richard H. Moore, Bruce E. Anderson, Carolyn Jordan, Tara Yacovitch, Scott C. Herndon, Shang Liu, Toshihiro Kuwayama, Daniel Jaffe, Nancy Johnston, Vanessa Selimovic, Robert Yokelson, David M. Giles, Brent N. Holben, Philippe Goloub, Ioana Popovici, Michael Trainer, Aditya Kumar, R. Bradley Pierce, David Fahey, James Roberts, Emily M. Gargulinski, David A. Peterson, Xinxin Ye, Laura H. Thapa, Pablo E. Saide, Charles H. Fite, Christopher D. Holmes, Siyuan Wang, Matthew M. Coggon, Zachary C. J. Decker, Chelsea E. Stockwell, Lu Xu, Georgios Gkatzelis, Kenneth Aikin, Barry Lefer, Jackson Kaspari, Debora Griffin, Linghan Zeng, Rodney Weber, Meredith Hastings, Jiajue Chai, Glenn M. Wolfe, Thomas F. Hanisco, Jin Liao, Pedro Campuzano Jost, Hongyu Guo, Jose L. Jimenez, James Crawford
Summary: The NOAA/NASA Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) experiment aimed to study the impact of fires on regional and global environments and air quality. The experiment measured trace gas and aerosol emissions, observed fire dynamics, assessed fire modeling, and examined connections to ground and satellite observables. The experiment involved aircraft, satellites, mobile laboratories, and ground sites.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Green & Sustainable Science & Technology
Chengyi Tu, Paolo D'Odorico, Zhe Li, Samir Suweis
Summary: Self-governing institutions and shared goals promote cooperation and sustainable governance of common-pool resources, as demonstrated by experiments using an online game platform. The findings suggest that users who share common objectives are more likely to engage in collective action and achieve long-term resource sustainability. This study highlights the importance of cooperation and self-organization in addressing environmental challenges.
NATURE SUSTAINABILITY
(2023)
Article
Geography, Physical
Gregor Schmucki, Perry Bartelt, Yves Buhler, Andrin Caviezel, Christoph Graf, Mauro Marty, Andreas Stoffel, Christian Huggel
Summary: Debris flows in mountainous areas are hazardous, but cost-effective long-term studies are rare, resulting in uncertainties in hazard assessment and prevention. This study investigates the use of cost-effective remote sensing techniques to assess mountain torrents and gather accurate long-term information on their evolution.
EARTH SURFACE PROCESSES AND LANDFORMS
(2023)
Letter
Geosciences, Multidisciplinary
Aubrey D. Miller, Todd A. N. Redpath, Pascal Sirguey, Simon C. Cox, Perry Bartelt, Don Bogie, Jono P. Conway, Nicolas J. Cullen, Yves Buhler
Summary: An extremely heavy winter storm in July 2022 caused massive alpine mass movements in the Southern Alps of New Zealand, including snow avalanches, debris flows, and erosion caused by rain runoff. The largest avalanche since 1986 occurred in the Kitchener avalanche path, which tested the effectiveness of a diversion berm designed for a 1:100-year event. Results from a lidar survey and numerical modeling provide insights into future hazards posed by intense alpine precipitation, especially on a winter snowpack.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geography, Physical
Rodrigo Caye Daudt, Hendrik Wulf, Elisabeth D. Hafner, Yves Buehler, Konrad Schindler, Jan Dirk Wegner
Summary: In this study, a recurrent convolutional neural network is used to estimate snow depth at a high spatial resolution (10 m GSD), weekly, and over large-scale areas, without the need for ground measurement stations. The proposed method achieves unprecedented results for large-scale, high-resolution snow depth mapping and is evaluated against high-fidelity snow depth maps obtained with airborne photogrammetry. Additionally, well-calibrated uncertainty estimates are provided for each individual snow depth estimate through a probabilistic regression framework.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Editorial Material
Geochemistry & Geophysics
Fabio Florindo, Valerio Acocella, Ann Marie Carlton, Paolo D'Odorico, Qingyun Duan, Andrew Gettelman, Jasper Halekas, Ruth Harris, Gesine Mollenhauer, Alan Robock, Claudine Stirling, Yusuke Yokoyama
Summary: Reviews of Geophysics is an AGU journal that publishes comprehensive review articles across various disciplines within the Earth and Space Sciences. It is a highly ranked journal in the fields of Geochemistry and Geophysics, with a high Journal Impact Factor (JIF). The journal's review papers provide crucial context for current work, establishing a framework for comprehensive understanding of research progress and interconnections between different communities.
REVIEWS OF GEOPHYSICS
(2023)
Editorial Material
Environmental Sciences
Roman Zweifel, Christoforos Pappas, Richard L. Peters, Flurin Babst, Daniel Balanzategui, David Basler, Ana Bastos, Mirela Beloiu, Nina Buchmann, Arun K. Bose, Sabine Braun, Alexander Damm, Petra D'Odorico, Jan U. H. Eitel, Sophia Etzold, Patrick Fonti, Elham Rouholahnejad Freund, Arthur Gessler, Matthias Haeni, Guenter Hoch, Ansgar Kahmen, Christian Korner, Jan Krejza, Frank Krumm, Michael Leuchner, Christoph Leuschner, Mirko Lukovic, Jordi Martinez-Vilalta, Radim Matula, Henning Meesenburg, Patrick Meir, Roman Plichta, Rafael Poyatos, Brigitte Rohner, Nadine Ruehr, Roberto L. Salomon, Tobias Scharnweber, Marcus Schaub, David N. Steger, Kathy Steppe, Christopher Still, Marko Stojanovic, Volodymyr Trotsiuk, Yann Vitasse, Georg von Arx, Martin Wilmking, Cedric Zahnd, Frank Sterck
Summary: Forests account for a significant amount of the world's biomass and biodiversity. To better understand forest dynamics, a global monitoring network is needed. This network should be capable of connecting existing monitoring sites and providing real-time data for assessments and predictions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Agronomy
Jan U. H. Eitel, David Basler, Sabine Braun, Nina Buchmann, Petra D'Odorico, Sophia Etzold, Arthur Gessler, Kevin L. Griffin, Jan Krejza, Yunpeng Luo, Andrew J. Maguire, Mukund P. Rao, Yann Vitasse, Lorenz Walthert, Roman Zweifel
Summary: This study successfully monitored the onset and mid-stages of stem growth using high-resolution satellite imagery combined with observed data. However, the accuracy of monitoring the cessation stage was low. It was also emphasized that resolving individual tree crowns is important for mixed forests. In conclusion, the development of new spectral indices is needed to capture the relationship between stem growth and canopy properties for remote sensing of climate-induced changes in leaf phenology and stem growth.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Engineering, Environmental
Havard B. Toft, Karsten Mueller, Jordy Hendrikx, Christian Jaedicke, Yves Buhler
Summary: Accurately predicting snow avalanche runout distances in a deterministic sense is challenging due to the complexity of physical properties involved. In many locations, including Norway, the runout distance is commonly defined using the angle from the starting point to the end of the runout zone (a-angle). By analyzing a large dataset of avalanche events in Switzerland, we found that the a-angles follow a normal distribution with a mean of 33 degrees and a standard deviation of 6.1 degrees. We also discovered that the average gradient from the release area to the beta-point is the most important topographic parameter for predicting a-angles.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2023)
Article
Forestry
Petra D'Odorico, Meredith C. Schuman, Mirjam Kurz, Katalin Csillery
Summary: This study demonstrates the potential of leaf spectroscopy for discriminating and characterizing different subspecies of beech trees. By measuring leaf spectral reflectance, morphological and biochemical traits, the researchers found that Oriental beech has higher lignin and nitrogen content compared to European beech. The model based on short-wave infrared region spectra showed the highest accuracy in distinguishing Oriental from European beech.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Plant Sciences
Alice Gauthey, Christoph Bachofen, Janisse Deluigi, Margaux Didion-Gency, Petra D'Odorico, Jonas Gisler, Eugenie Mas, Marcus Schaub, Philipp Schuler, Christopher J. Still, Alex Tunas, Charlotte Grossiord
Summary: Global warming and droughts affect the thermal limits of forests, impacting tree carbon uptake and growth. In this study, the effect of soil moisture on the dynamics of photosynthesis, stomatal conductance, and canopy temperature were analyzed. Irrigation increased photosynthetic performance, while soil drought reduced tree's temperature optimum.
Article
Plant Sciences
Yunpeng Luo, Arthur Gessler, Petra D'Odorico, Koen Hufkens, Benjamin D. Stocker
Summary: Land carbon dynamics in temperate and boreal ecosystems are affected by environmental change. Accurate simulation of gross primary productivity (GPP) and its seasonality is crucial for carbon cycle projections. However, there are significant biases in early spring GPP simulations of northern forests, where observations suggest a later resumption of photosynthesis than predicted by models. By considering the delayed effects of minimum temperatures on light use efficiency (LUE), the model bias in springtime GPP simulations was effectively resolved, providing an approach to improve GPP estimates and simulations in northern forests.
Review
Green & Sustainable Science & Technology
Sinafekesh Girma Wolde, Paolo D'Odorico, Maria Cristina Rulli
Summary: Technical Summary
Intra-African environmental migration is a bleak reality, with warming trends, aridification, and extreme climate events driving millions of people to move within sub-Saharan Africa. This meta-analysis examines 87 case studies to investigate the relationship between environmental changes and migration in the region. The study uses a combination of quantitative and qualitative methods to analyze the data and offers insights into the complex web of environmental drivers and the role of non-environmental factors in vulnerability and resilience to environmental change.
GLOBAL SUSTAINABILITY
(2023)
Article
Engineering, Electrical & Electronic
Andreas Hueni, Kimberley Mason, Simon Trim
Summary: The spectral information system SPECCHIO has been updated to handle uncertainty information in the form of uncertainty tree diagrams. Changes to the database model and dedicated methods provided by the SPECCHIO application programming interface were made. A case study in field spectroscopy demonstrates the use of these updates. In conclusion, automated uncertainty propagation through a database-centric approach and standardized measurement protocols are crucial for providing spectroscopy data with propagated and traceable uncertainty information.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Lukas Valentin Graf, Javier Gorrono, Andreas Hueni, Achim Walter, Helge Aasen
Summary: This study focuses on the derivation of land surface phenology metrics using time series of optical imagery and emphasizes the importance of considering uncertainty in these metrics. The impact of radiometric uncertainties on classification and phenological metrics is investigated, with a specific focus on the Sentinel-2 multispectral imager. The study provides guidance for interpreting phenological metrics by examining the uncertainties associated with them.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
