Article
Environmental Sciences
Shiyun Yin, Kai Zhou, Lin Cao, Xin Shen
Summary: This study combined LiDAR and hyperspectral images obtained by a UAV with the PROSAIL model to accurately assess the distribution characteristics of pigment content in Ginkgo canopies. A new approach developed in this study showed significantly higher accuracies compared to traditional vegetation index models.
Article
Environmental Sciences
Marija Margus, Marijan Ahel, Milan Cankovic, Zrinka Ljubesic, Senka Terzic, Vedranka Hodak Kobasic, Irena Ciglenecki
Summary: Biomass dynamics in a small marine lake in Croatia were studied to understand phytoplankton responses to environmental perturbations. The lake fluctuated between stably stratified and holomictic euxinic conditions, and phytoplankton showed rapid adaptation to short-term changes in the water column. Diatoms dominated in the epilimnion in colder seasons and recovered first after holomixia, while smaller groups became more prevalent in warmer seasons. The hypolimnion had a complex mixotrophic community under extreme conditions.
MARINE POLLUTION BULLETIN
(2023)
Article
Horticulture
Dongfang Zhang, Jun Zhang, Bo Peng, Tao Wu, Zhiyang Jiao, Yin Lu, Guanghuan Li, Xiaofei Fan, Shuxing Shen, Aixia Gu, Jianjun Zhao
Summary: In this study, a Chinese cabbage translocation line material with rich variation was used to predict chlorophyll content using a hyperspectral data preprocessing method combined with a genetic algorithm and a Self-adjusted One Dimensional Convolutional Neural Network (SA-1DCNN). The results showed that this approach was effective for chlorophyll content prediction and provided a new theoretical framework for determining the nutritional status of Chinese cabbage.
SCIENTIA HORTICULTURAE
(2023)
Article
Agronomy
Shuai Che, Guoying Du, Xuefeng Zhong, Zhaolan Mo, Zhendong Wang, Yunxiang Mao
Summary: A high-throughput, nondestructive, optical method based on hyperspectral imaging technology was developed for phenotyping the pigments in Neopyropia. The best prediction models were established using preprocessing methods and machine learning techniques. This method enables fast, accurate, and noninvasive evaluation of pigment content and distribution in Neopyropia, with important implications for macroalgae breeding and phenomics research.
Article
Multidisciplinary Sciences
Natalia Paulina Twardowska
Summary: The study aimed to find alternative pigment sources that are harmless to human health and can be produced in an eco-responsible way. Using autumn leaves of Aesculus hippocastanum as potential novel colorant sources, the experiments focused on improving the Gauss-peak spectra method in combination with thin-layer chromatography, leading to the development of a new methodology. The results showed that thin-layer chromatography greatly enhanced the efficiency of the Gauss-peak spectra method for estimating the major and minor pigment composition without generating high additional costs.
Article
Environmental Sciences
GwangMuk Im, Dohyun Lee, Sanghun Lee, Jongsu Lee, Sungjong Lee, Jungsu Park, Tae-Young Heo
Summary: This study used hyperspectral data to estimate the concentration of chlorophyll-a at Paldang Dam, South Korea. By combining dimension reduction and machine learning algorithms, a framework was developed that accurately estimated chlorophyll-a.
Article
Plant Sciences
Congcong Guo, Liantao Liu, Hongchun Sun, Nan Wang, Ke Zhang, Yongjiang Zhang, Jijie Zhu, Anchang Li, Zhiying Bai, Xiaoqing Liu, Hezhong Dong, Cundong Li
Summary: The study focused on the drought tolerance evaluation and prediction of 80 cotton varieties using hyperspectral models and one-dimensional convolutional neural networks. The results showed that the Savitzky-Golay + 1D-CNN model had the best robustness and accuracy in predicting the drought tolerance of cotton.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Multidisciplinary Sciences
Petra Skotnicova, Hristina Staleva-Musto, Valentyna Kuznetsova, David Bina, Minna M. Konert, Shan Lu, Tomas Polivka, Roman Sobotka
Summary: Plant LHC-like proteins can quench chlorophyll fluorescence by direct energy transfer to zeaxanthin, and they are stabilized by associated pigments, playing a photoprotective role in photosynthesis.
NATURE COMMUNICATIONS
(2021)
Article
Agronomy
Jae-Hyeong Choi, Soo Hyun Park, Dae-Hyun Jung, Yun Ji Park, Jung-Seok Yang, Jai-Eok Park, Hyein Lee, Sang Min Kim
Summary: Prediction models using hyperspectral imaging were developed for noninvasive detection of functional components in Brassica juncea leaves. The choice of pre-processing conditions significantly influenced the model performance.
Article
Chemistry, Analytical
Renan Falcioni, Werner Camargos Antunes, Jose Alexandre Melo Dematte, Marcos Rafael Nanni
Summary: Leaf optical properties can be used to identify environmental conditions, light intensities, plant hormone levels, pigment concentrations, and cellular structures. Using two hyperspectral sensors for both reflectance and absorbance data can lead to more accurate predictions of absorbance spectra. The green/yellow regions have a greater impact on photosynthetic pigment predictions, while the blue and red regions have a minor impact. Carotenoids show high correlation coefficients using the partial least squares regression (PLSR) method when associated with hyperspectral absorbance data, supporting the effectiveness of using two hyperspectral sensors for optical leaf profile analysis and predicting the concentration of photosynthetic pigments.
Article
Plant Sciences
Shuhrat Valiyev, Toshpolot Rajabov, Burkhan Avutkhanov, Shohira Ataeva
Summary: The change in the amount of photosynthetic pigments (chlorophyll a, chlorophyll b, carotenoids) in Artemisia diffusa was studied under four different grazing intensities on the transformed natural rangelands of Karnabchul desert. It was found that the amount of A. diffusa pigments also increased with increasing stress levels in livestock grazing. In general, different grazing intensities had a different impact on the morphological and physiological traits of plants, especially their photosynthetic pigments.
PLANT SCIENCE TODAY
(2023)
Article
Plant Sciences
Mohammad Nur Alam, Li Yang, Xue Yi, Qingfeng Wang, Arif Hasan Khan Robin
Summary: Under heat stress, tall fescue seedlings treated with melatonin exhibited higher physiological indicators and antioxidant enzyme activities, while showing lower production of hydrogen peroxide and malondialdehyde compared to control seedlings. This suggests that exogenous melatonin application can enhance the defense system of tall fescue under heat stress, reduce oxidative damage, and improve growth and physiological activities.
JOURNAL OF PLANT GROWTH REGULATION
(2022)
Article
Biology
Akanksha Sehgal, Kambham Raja Reddy, Charles Hunt Walne, T. Casey Barickman, Skyler Brazel, Daryl Chastain, Wei Gao
Summary: Climate change poses serious challenges to global food security, with abiotic stresses being the main limiting factors for agricultural productivity. This study investigates the effects of UV-B radiation, CO2 concentration, and high temperature on the growth, yield, and biochemistry of kale and mustard. The results show that except for elevated CO2 levels, all traits declined significantly under individual and multi-stress conditions in both species.
Article
Agronomy
Peiqi Yang, Xinjie Liu, Zhigang Liu, Christiaan van der Tol, Liangyun Liu
Summary: This study examines the relationship between sun-induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP) and the factors influencing this relationship. The results show that the radiative and structural components of SIF have a positive impact on the linearity of the SIF-GPP relationship, while the physiological component has a negative impact. The controls of the relationship also vary with temporal scale.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Horticulture
Xiaokai Lin, Feng Liu, Haizhi Liao, Jingjia Du, Junjie Peng, Kaibing Zhou
Summary: This study investigated the characteristics of photosynthetic physiological changes in Mangifera indica L. cv. Guifei leaves under enhanced ultraviolet (UV)-B radiation. The results showed that the treatment with enhanced UV-B radiation significantly improved fruit maturity and quality, as well as the net photosynthetic rate, photosynthetic pigment content, photochemical reactions, and photochemical quenching coefficient of the leaves. The activities of Rubisco and Rubisco activating enzyme, as well as the expression levels of the Rubisco large and small subunit genes, were significantly increased. Enhanced UV-B radiation improved the CO2-fixing capacity and dark reaction capacity of the leaves by increasing the expression of Rubisco genes.
Article
Biodiversity Conservation
Chong Fang, Kaishan Song, Hans W. Paerl, Pierre-Andre Jacinthe, Zhidan Wen, Ge Liu, Hui Tao, Xiaofeng Xu, Tiit Kutser, Zongming Wang, Hongtao Duan, Kun Shi, Yingxin Shang, Lili Lyu, Sijia Li, Qian Yang, Dongmei Lyu, Dehua Mao, Baohua Zhang, Shuai Cheng, Yunfeng Lyu
Summary: Algal blooms in inland lakes have shown divergent trends over the past 37 years, with increasing and decreasing frequencies and extents observed in different regions. North America experienced an intensification of algal blooms before 1999, followed by a decrease in severity after the 2000s. Asia had the strongest intensification of algal blooms, followed by South America, Africa, and Europe. Anthropogenic factors had slightly stronger contributions to algal bloom intensification compared to climatic drivers.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Environmental Sciences
Ele Vahtmaee, Jonne Kotta, Laura Argus, Mihkel Kotta, Ilmar Kotta, Tiit Kutser
Summary: This study explored the potential of using meteorological variables and spectral indices to predict primary production in benthic ecosystems. The study found that indices using red and blue band combinations, such as 650/450 and 650/480 nm, showed the strongest correlation with chlorophyll concentration. Boosted regression tree models, along with meteorological data, were highly effective in predicting community photosynthesis in different submerged aquatic vegetation classes.
Article
Environmental Sciences
Kai-Yun Li, Raul Sampaio de Lima, Niall G. Burnside, Ele Vahtmaee, Tiit Kutser, Karli Sepp, Victor Henrique Cabral Pinheiro, Ming-Der Yang, Ants Vain, Kalev Sepp
Summary: This study integrates autonomous computation and AI technologies with a hyperspectral system to estimate crop yield and biomass. The research shows the significant estimation capacity of the AutoML regression model and highlights the economic and environmental benefits of the hyperspectral system in sustainable and intelligent agriculture.
Article
Environmental Sciences
Tuuli Soomets, Kaire Toming, Jekaterina Jefimova, Andres Jaanus, Arno Pollumae, Tiit Kutser
Summary: This study used remote sensing data to estimate nutrient concentrations in Estonian marine waters, with a focus on total nitrogen. The results showed that remote sensing could be a reliable method for monitoring nutrient loads and understanding regional water quality in marine ecosystems.
Article
Environmental Sciences
Mehdi Gholamalifard, Bonyad Ahmadi, Ali Saber, Sohrab Mazloomi, Tiit Kutser
Summary: Water supply is a critical infrastructure for development, and desalination can help satisfy water demands. Iran has limited application of desalination due to unrestricted access to water, while countries in the Persian Gulf have successfully dealt with water shortages through desalination. This study focuses on the coastal area of Hormozgan in Iran, which faces serious water stress and periodic shortages. The objective is to identify suitable sites for desalination plants using a multi-criteria evaluation design, considering various scenarios and constraints. The results indicate that several zones in the region are suitable for the construction of desalination facilities.
Article
Oceanography
Mirjam Uusoue, Martin Ligi, Tiit Kutser, Francois Bourrin, Kristi Uudeberg, Kersti Kangro, Birgot Paavel
Summary: This study used satellite sensors to monitor water in the Baltic Sea and investigated the properties of suspended particulate matter (SPM). The results showed that concentrations, absorption, scattering, and backscattering of SPM varied temporally and spatially, and the spectral backscattering ratio was wavelength-dependent and influenced by particle origin, size distribution, weather conditions, and location.
Article
Zoology
R. Wenne, M. Zbawicka, A. Pradzinska, J. Kotta, K. Herkul, J. P. A. Gardner, A. P. Apostolidis, A. Pocwierz-Kotus, O. Rouane-Hacene, A. Korrida, F. Dondero, M. Baptista, S. Reizopoulou, B. Hamer, K. K. Sundsaasen, M. Arnyasi, M. P. Kent
Summary: This study investigated the genetic differentiation of M. galloprovincialis populations in the Mediterranean Sea, the Black Sea, and the Sea of Azov and identified four groups of populations. Seascape genetic analyses revealed site-specific genetic variation associated with environmental variables, likely reflecting the complex geological history of the Mediterranean sub-basins.
EUROPEAN ZOOLOGICAL JOURNAL
(2022)
Article
Geosciences, Multidisciplinary
Zhigang Cao, Ming Shen, Tiit Kutser, Miao Liu, Tianci Qi, Jinge Ma, Ronghua Ma, Hongtao Duan
Summary: This study comprehensively evaluated the performance of MODIS R_land products in global inland and coastal waters and found that it overestimates reflectance and cannot accurately estimate chlorophyll-a and suspended particulate matter. Machine learning models showed good performance in estimating suspended particulate matter but unreliable in estimating chlorophyll-a.
EARTH-SCIENCE REVIEWS
(2022)
Article
Environmental Sciences
Tuuli Soomets, Kaire Toming, Birgot Paavel, Tiit Kutser
Summary: The Baltic Sea is a complex study object for watercolor remote sensing, and most remote sensing products fail to produce reliable results. Among the tested products, the best performing remote sensing Chl-alpha product is Case(2)/ Regional CoastColour produced from Sentinel-3 OLCI reflectance.
JOURNAL OF APPLIED REMOTE SENSING
(2022)
Article
Environmental Sciences
Mortimer Werther, Daniel Odermatt, Stefan G. H. Simis, Daniela Gurlin, Moritz K. Lehmann, Tiit Kutser, Remika Gupana, Adam Varley, Peter D. Hunter, Andrew N. Tyler, Evangelos Spyrakos
Summary: In this study, Bayesian probabilistic neural networks (BNNs) were developed for estimating chlorophyll-a concentration (chla) in oligotrophic and mesotrophic lakes. The BNNs provided per-pixel uncertainty percentages and were evaluated through various assessments. The results showed that the BNNs achieved higher accuracy in oligotrophic waters, but the accuracy decreased as nutrient levels increased. The study also demonstrated the importance of uncertainty estimation in improving the quality of the chla result.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Studies
Liisi Lees, Krista Karro, Francisco R. Barboza, Ann Ideon, Jonne Kotta, Triin Lepland, Maili Roio, Robert Aps
Summary: Maritime Spatial Planning (MSP) is a process of allocating space for human activities to support sustainable development of marine areas. Maritime cultural heritage (MCH) is often overlooked in this process, but it holds particular value for regional communities. Therefore, successful MSP requires active engagement of local communities and consideration of their maritime cultural heritage.
Article
Biodiversity Conservation
Jonne Kotta, Brecht Stechele, Francisco R. Barboza, Ants Kaasik, Romain Lavaud
Summary: Aquaculture is seen as a potential solution to meet increasing fish demand, but it must reduce its use of wild fish in feed and minimize environmental impacts. The integrated multi-trophic aquaculture system shows promise in mitigating adverse effects. The dynamic energy budget (DEB) modelling can assist in achieving sustainable goals. This study explores the potential of mussel farming for bioremediation and sustainable fish farming in the Baltic Sea region.
JOURNAL OF APPLIED ECOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Jonne Kotta, Mihhail Fetissov, Ellen Kaasik, Janis Vaat, Stanislav Stokov, Ulla Pirita Tapaninen
Summary: Global, regional and national policies are incentivizing the reduction of greenhouse gas emissions in ports. This study examines the current state of assessing emissions in ports and identifies efficient and reliable methodologies. The Port of Tallinn is used as a case study to test and evaluate these methodologies, and promising ways forward are suggested.
Editorial Material
Biodiversity Conservation
Jonne Kotta
Article
Remote Sensing
Hui Liu, Baoyin He, Yadong Zhou, Tiit Kutser, Kaire Toming, Qi Feng, Xiaoqin Yang, Congju Fu, Fan Yang, Wen Li, Feng Peng
Summary: This study estimated the trophic state of Wuhan lakes using satellite remote sensing and found that the trophic state did not decrease during the COVID-19 lockdown period.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
