Article
Physics, Multidisciplinary
Marta Ghirardello, Cristian Manzoni, Michele Gironda, Roberto Alberti, Roland Lenz, Judit Zoldfoldi, Sonja Behrendt, Boaz Paz, Gianluca Valentini, Daniela Comelli
Summary: The novel hyperspectral camera based on Fourier-transform approach is utilized to study the photoluminescence emission from artworks at different spatial scales and emission timescales. It allows in-depth characterization of luminescent materials in cultural heritage, separation of emission from different materials, and provides vital information for material identification and mapping. The high spectral accuracy of the camera enables the collection of highly resolved spectral datacubes, which can be further analyzed with computational and multivariate statistical methods for better material identification and mapping.
EUROPEAN PHYSICAL JOURNAL PLUS
(2021)
Article
Environmental Sciences
Sasha J. Kramer, David A. Siegel, Stephane Maritorena, Dylan Catlett
Summary: This study utilized hyperspectral remote sensing data to model phytoplankton pigment composition in the global open ocean. By using optimized principal components regression modeling, thirteen phytoplankton pigments representing five groups were successfully reconstructed. This work advances the development of global spectral models for phytoplankton pigment composition, but more high-quality data is needed for further improvement.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Chemistry, Analytical
Alejandro Morales, Pablo Horstrand, Raul Guerra, Raquel Leon, Samuel Ortega, Maria Diaz, Jose M. Melian, Sebastian Lopez, Jose F. Lopez, Gustavo M. Callico, Ernestina Martel, Roberto Sarmiento
Summary: This article describes a custom-made scanning system for hyperspectral image acquisition, which can capture and process a large number of samples in the laboratory, and extract accurate spectral characteristics.
Article
Agronomy
Zhiliang Kang, Jinping Geng, Rongsheng Fan, Yan Hu, Jie Sun, Youli Wu, Lijia Xu, Cheng Liu
Summary: This study conducted a nondestructive detection method for mango dry matter based on hyperspectral fluorescence imaging technology, used various algorithms to extract feature variables, and constructed predictive models to achieve the best prediction performance.
Article
Food Science & Technology
Mengmeng Shang, Long Xue, Yifan Zhang, Muhua Liu, Jing Li
Summary: This paper proposes a hyperspectral online sorting device for the whole-surface defects of navel orange. By extracting the spectral image of the characteristic wave peak, correcting the light intensity at the edge of the orange, and segmenting the corrected image, surface defects can be effectively identified. The online sorting test shows a detection accuracy of 100%.
JOURNAL OF FOOD SCIENCE
(2023)
Article
Spectroscopy
Xin Zhou, Chunjiang Zhao, Jun Sun, Kunshan Yao, Min Xu, Jiehong Cheng
Summary: This study evaluated the feasibility of nondestructive testing and visualization of compound heavy metals (cadmium and lead) in lettuce leaves using fluorescence hyperspectral imaging. A method involving wavelet transform and stepwise regression (WT-SR) was proposed to perform dimensionality reduction of fluorescence spectral data. The results showed that the MLR models based on the feature data obtained by 1st Der-WT-SR achieved reasonable performance for Cd and Pb content detection in lettuce leaves, confirming the great potential of fluorescence hyperspectral technology combined with optimization algorithm for the detection of compound heavy metals.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Agronomy
Xiong Luo, Lijia Xu, Peng Huang, Yuchao Wang, Jiang Liu, Yan Hu, Peng Wang, Zhiliang Kang
Summary: The study utilized hyperspectral imaging technology to quantitatively detect the content of tea polyphenols in Tibetan teas. By analyzing the tea spectrum features and using multiple algorithms for preprocessing and feature extraction, a new prediction model was constructed to accurately determine the content of Tibetan tea polyphenols. The experimental results showed that the stacking model outperformed individual regressor prediction models, achieving high accuracy in predicting Tibetan tea polyphenol content.
Article
Geochemistry & Geophysics
Wen Xie, Yanfeng Gu, Tianzhu Liu
Summary: This article proposes a two-stream encoder-decoder network for the single hyperspectral (HS) task, which includes a reflectance estimation subnetwork (RES) and a shading estimation subnetwork (SES). The network introduces three physical losses to enhance performance and ensures the estimated intrinsic components are physically correct. Experimental results demonstrate that the proposed network outperforms current available learning or optimization-based approaches.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Editorial Material
Chemistry, Analytical
Jakub Nalepa
Summary: Advancements in sensor technology have enabled new possibilities in multi- and hyperspectral imaging, benefiting various domains such as precision agriculture, biology, and natural disaster detection. Researchers have developed image processing and machine learning pipelines to efficiently process the highly dimensional data captured by such sensors, leading to the growth of multi- or hyperspectral analysis as an exciting research area with potential applications in hardware-constrained environments like imaging satellites.
Article
Plant Sciences
Christian Nansen, Hyoseok Lee, Anil Mantri
Summary: This study investigates the temporal radiometric repeatability of airborne remote sensing data. The results show that the spectral bands from 900-970 nm have significantly lower repeatability compared to the bands from 416-900 nm. Among the four calibration methods, the ARTM calibrations outperform the ELM calibration, especially ARTM2+. It is concluded that at least a 5% radiometric error should be expected when acquiring airborne remote sensing data at multiple time points, and objects for classification should have at least a 5% difference in optical traits for accurate and consistent classification.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Agronomy
Jan Piekarczyk, Andrzej Wojtowicz, Marek Wojtowicz, Jaroslaw Jasiewicz, Katarzyna Sadowska, Natalia Lukaszewska-Skrzypniak, Ilona Swierczynska, Katarzyna Pieczul
Summary: In this study, three fungi species were discriminated using hyperspectral and RGB data and machine learning methods. The research showed the possibility of distinguishing the fungi species based on hyperspectral curves and RGB images. The wavelengths in the SWIR region were effective in distinguishing certain fungi species, while the visible range of the electromagnetic spectrum was effective in distinguishing others.
Article
Plant Sciences
Yu-hang Li, Xin Tan, Wei Zhang, Qing-bin Jiao, Yu-xing Xu, Hui Li, Yu-bo Zou, Lin Yang, Yuan-peng Fang
Summary: This study focused on image segmentation, image correction, and spatial-spectral dimensional denoising of hyperspectral images to enhance classification accuracy. The use of spectral angle and principal component analysis for image filtering and segmentation, prior spectral information for image correction, and two-dimensional convolution kernel for joint spatial-spectral filtering were highlighted. The results showed that the proposed methods improved classification accuracy to over 98%.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Spectroscopy
Zhiyong Zou, Qingsong Wu, Jian Wang, Lijia Xu, Man Zhou, Zhiwei Lu, Yong He, Yuchao Wang, Bi Liu, Yongpeng Zhao
Summary: A modeling experiment method using fluorescence hyperspectral technology combined with machine learning algorithm was proposed for rapid nondestructive testing of hotpot oil quality. Preprocessing algorithms were employed to preprocess the original spectral data, achieving data denoising and reducing the influence of baseline drift and tilt. The best feature bands for the two-classification model and the six-classification model were identified, and the results showed that the fluorescence hyperspectral technology combined with machine learning algorithm could effectively realize the detection of reused hotpot oil.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Agriculture, Multidisciplinary
Wilson Castro, Jezreel Mejia, Miguel De-la-Torre, Brenda Acevedo-Juarez, Adriano Rogerio Bruno Tech, Himer Avila-George
Summary: Hyperspectral imaging (HSI) technology has been established as a tool for determining food quality and has been enhanced through the combination with chemometric tools and image-processing techniques. However, challenges related to non-uniformity caused by object geometry still need to be addressed. This study proposes a generalized reflectance correction method for non-spherical rounded fruits to enhance the uniformity of corrected hyperspectral images.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Plant Sciences
Salah El-Hendawy, Salah Elsayed, Nasser Al-Suhaibani, Majed Alotaibi, Muhammad Usman Tahir, Muhammad Mubushar, Ahmed Attia, Wael M. Hassan
Summary: The study demonstrates that utilizing different vegetation indices can accurately assess the growth and chlorophyll content of wheat genotypes under saline field conditions, with the need to select appropriate indices based on specific conditions. The results show that simple forms of indices can effectively predict plant variables under saline conditions for distinct genotypes.
Correction
Geography, Physical
Izabela Zawiska, Tomi P. Luoto, Liisa Nevalainen, Wojciech Tylmann, Thomas C. Jensen, Milena Obremska, Michal Slowinski, Michal Woszczyk, Ann Kristin Schartau, Bjorn Walseng
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
(2020)
Article
Environmental Sciences
Thomas C. Jensen, Izabela Zawiska, Mimmi Oksman, Michal Slowinski, Michal Woszczyk, Tomi P. Luoto, Wojciech Tylmann, Liisa Nevalainen, Milena Obremska, Ann Kristin Schartau, Bjorn Walseng
JOURNAL OF PALEOLIMNOLOGY
(2020)
Article
Geography, Physical
Malgorzata Kinder, Wojciech Tylmann, Michal Rzeszewski, Bernd Zolitschka
QUATERNARY RESEARCH
(2020)
Article
Environmental Sciences
Tobias Schneider, Benjamin A. Musa Bandowe, Moritz Bigalke, Adrien Mestrot, Henrietta Hampel, Pablo V. Mosquera, Lea Frankl, Giulia Wienhues, Hendrik Vogel, Wojciech Tylmann, Martin Grosjean
Summary: This study investigated two lakes at different elevations in the Ecuadorian Andes and found that trace element fluxes are related to geology, erosion in the watersheds, and local point sources and atmospheric loads. The differences in fluxes between the two lakes were significant, with Lake Llaviucu being more heavily influenced by the city of Cuenca.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Paul D. Zander, Maurycy Zarczynski, Hendrik Vogel, Wojciech Tylmann, Agnieszka Wacnik, Andrea Sanchini, Martin Grosjean
Summary: This study utilized sediment records from Lake Zabinskie, Poland to investigate the variations of primary productivity and anoxia over the past 10,800 years. The findings suggest that natural and anthropogenic forces play a significant role in driving changes in lake ecosystems, impacting eutrophication and anoxia trends.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Biodiversity Conservation
Agnieszka Szczerba, Sergi Pla-Rabes, Maurycy Zarczynski, Wojciech Tylmann
Summary: This study examines the potential of chrysophyte cysts as indicators of seasonal and interannual changes in meteorological conditions in lakes in northern Poland. The research found that cyst seasonality indirectly corresponds to meteorological conditions through changes in mixing regimes, impacting nutrient and light availability. Additionally, the study showed that the taxonomic structure and interannual variability of chrysophyte cysts are dependent on multiple variables, with air temperature being the most influential meteorological factor.
ECOLOGICAL INDICATORS
(2021)
Article
Geography, Physical
N. Fagel, P. Pedreros, D. Alvarez, W. Tylmann, O. Namur, A. C. Da Silva, P. Jana, A. Araneda, I Billy, S. Schmidt, R. Urrutia
Summary: Paleoclimate studies in Patagonia show high Holocene climate variability, mainly controlled by the Southern Westerly Winds. This study reconstructed environmental and climate variability in North East Patagonia over the last centuries, highlighting the influence of the Southern Westerly Winds on sediment thickness and geochemical data.
QUATERNARY SCIENCE REVIEWS
(2021)
Article
Environmental Sciences
Anna Izabela Poraj-Gorska, Alicja Bonk, Maurycy Zarczynski, Malgorzata Kinder, Wojciech Tylmann
Summary: Varved sediments in lakes can indicate the history of eutrophication and oxygen conditions, with this study finding that the preservation of varves in the topmost sediments occurred asynchronously in the investigated lakes. The transition from homogeneous to varved sediments was gradual and related to human-induced land-use changes and cultural eutrophication.
Article
Geography, Physical
Alicja Bonk, Michal Slowinski, Maurycy Zarczynski, Piotr Olinski, Miroslawa Kupryjanowicz, Magdalena Filoc, Wojciech Tylmann
Summary: Long-term paleofire perspectives provide important insights into natural and human-induced land cover changes. This study investigates the interplay between changing climatic conditions, land cover transformation, fires, and human activity based on a 1750-year-long macrocharcoal record from Lake Jaczno in Poland.
Article
Multidisciplinary Sciences
Elena A. Ilyashuk, Oliver Heiri, Wojciech Tylmann, Boris P. Ilyashuk
Summary: This study presents a dataset of subfossil chironomid assemblages obtained from a high alpine lake in the Austrian Alps, along with detailed information on sample processing and reconstruction techniques. The dataset provides a detailed record of temperature changes in the Eastern Alps since AD 1300 and can be compared to other independent climate reconstructions.
Article
Environmental Sciences
Maurycy Zarczynski, Paul D. Zander, Martin Grosjean, Wojciech Tylmann
Summary: This study investigates the direct links between meteorological and limnological conditions and varve formation processes in Lake Zabinskie, showing the impact of air temperature on calcite laminae formation and primary production. It further demonstrates how lake mixing intensity influenced by wind activity and holomixis events lead to the formation of distinct manganese peaks in anoxic sediments.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Alicja Bonk, Natalia Piotrowska, Maurycy Zarczynski, Dirk Enters, Monika Rzodkiewicz, Wojciech Tylmann
Summary: Sediments from Lake Lubi'nskie in western Poland were analyzed to investigate the effects of environmental changes on the lake's limnology over the past 3,000 years. By studying varve microfacies, geochemical, pollen, and diatom data, as well as using an age-depth model based on varve counting and radiometric measurements, major phases of landscape and lake ecosystem transformations were identified. The study suggests that human activities in the catchment area, such as agriculture and deforestation, have had a significant impact on the lake's eutrophication and inferred lake-level changes.
Article
Biodiversity Conservation
Agnieszka Szczerba, Monika Rzodkiewicz, Wojciech Tylmann
Summary: The relationships between changes in meteorological conditions and diatom fluxes and taxonomic composition were investigated in two small lakes. The results showed that changes in meteorological conditions indirectly influenced diatom fluxes through changes in mixing regimes that affected nutrient and light availability. Statistical analyses demonstrated correlations between diatom data and air temperature and wind speed, although their influence on diatom assemblages was likely a surrogate for the complex changes in lake structure. Differences in specific diatom taxa succession and taxonomic composition were attributed to local conditions such as lake hydrological types, littoral zone extent, and sunlight exposure.
ECOLOGICAL INDICATORS
(2023)
Article
Geosciences, Multidisciplinary
Paul D. Zander, Maurycy Zarczynski, Wojciech Tylmann, Shauna-kay Rainford, Martin Grosjean
Summary: Varved lake sediments are important archives for paleoclimatic information, but quantitative reconstructions based on biogeochemical composition are rare due to complexity. Recent advancements in high-resolution imaging and elemental mapping allow for better understanding of varve formation processes and climate-proxy relationships. This study presents a geochemical dataset from Lake Zabinskie, Poland, analyzing how seasonal meteorological conditions influence sediment composition and varve types, with the use of generalized additive models for climate inference.
CLIMATE OF THE PAST
(2021)
Article
Ecology
Stamatina Makri, Andrea Lami, Luyao Tu, Wojciech Tylmann, Hendrik Vogel, Martin Grosjean
Summary: The study of Lake Jaczno shows how trophic state and redox conditions in lakes have changed over time, influenced by factors such as vegetation cover, temperature, and human impacts. The research highlights the impact of human activities on eutrophication and anoxia processes in aquatic ecosystems.
