Article
Environmental Sciences
Srinivas Kolluru, Surya Prakash Tiwari, Shirishkumar S. Gedam
Summary: This study investigates methods for inverting spectral remote sensing reflectance to inherent optical properties and introduces hybrid inversion approaches. Evaluation of various algorithms revealed that the Quasi-Analytical Algorithm and Generalized Inherent Optical Property models perform better in deriving absorption spectrum from remote sensing reflectance. Hybrid models combining SAAs and ADAs demonstrate more accurate retrieval of absorption subcomponents.
Article
Environmental Sciences
Xuerong Sun, Robert J. W. Brewin, Shubha Sathyendranath, Giorgio Dall'Olmo, Ruth Airs, Ray Barlow, Astrid Bracher, Vanda Brotas, Malika Kheireddine, Tarron Lamont, Emilio Maranon, Xose Anxelu G. Moran, Dionysios E. Raitsos, Fang Shen, Gavin H. Tilstone
Summary: Understanding the response of phytoplankton to climate change is crucial, and satellite remote sensing of ocean colour is the only means of monitoring phytoplankton at large scales. However, addressing ambiguity in ocean colour signal is necessary for developing algorithms for climate change studies. Enriching ocean colour data with sea surface temperature information can help tackle this issue.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Oceanography
Monika Soja-Wozniak, Lesley Clementson, Bozena Wojtasiewicz, Mark Baird
Summary: This paper reconstructs the absorption spectra of phytoplankton using pigment concentration and absorption coefficients. Small phytoplankton samples show no significant difference between calculated and measured absorption. The reconstructed phytoplankton absorption is overestimated at one wavelength and underestimated over a specific range.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2022)
Review
Oceanography
Anvita U. Kerkar, Sarat C. Tripathy, David J. Hughes, P. Sabu, Sudarsana Rao Pandi, Amit Sarkar, Manish Tiwari
Summary: Understanding of Southern Ocean carbon cycling is hindered by lack of data on phytoplankton primary productivity (PP) and spectral absorption, but this study in the Indian Sector of the Southern Ocean (ISSO) has provided insights into the link between these factors. The findings underscore the importance of regional-specific algorithm modifications for accurate assessment of PP and highlight the need for improvements in satellite-based models to capture bio-optical variability in the region.
PROGRESS IN OCEANOGRAPHY
(2021)
Article
Environmental Sciences
Huizeng Liu, Xianqiang He, Qingquan Li, Susanne Kratzer, Junjie Wang, Tiezhu Shi, Zhongwen Hu, Chao Yang, Shuibo Hu, Qiming Zhou, Guofeng Wu
Summary: The study proposes a hybrid approach for estimating UV Rrs from visible bands and evaluates its performance using in situ and satellite data, showing high accuracy in both clear open ocean and optically complex waters. The model-estimated UV Rrs may improve the accuracy of absorption coefficients in semi-analytical IOPs algorithm, indicating great potential for reconstructing UV Rrs data and enhancing IOPs retrieval for historical satellite sensors.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Toby K. Westberry, Greg M. Silsbe, Michael J. Behrenfeld
Summary: Phytoplankton photosynthesis and organic matter production play a crucial role in marine ecosystems, and satellite-based models for estimating GPP and NPP have been the most practical means to analyze their dynamics on a global scale. This review explores the efforts made in modeling GPP and NPP from remote sensing measurements, highlighting their scientific findings and discussing validation efforts. It also presents a vision for future research, identifying the remaining barriers to improving satellite estimates of GPP and NPP.
EARTH-SCIENCE REVIEWS
(2023)
Article
Environmental Sciences
Sasha J. Kramer, Kelsey M. Bisson, Catherine Mitchell
Summary: Wildfires are increasing in frequency and severity globally, and anthropogenic climate change is expected to exacerbate their effects. While most wildfires impact land, coastal fires also affect the ocean through smoke production and ash deposition. The impacts of wildfires on marine ecosystems have been understudied due to the challenges of conducting fieldwork during unpredictable natural disasters. Remote sensing measurements are increasingly used to study these impacts, but limitations exist due to the optical effects of smoke and ash in water. In this study, the potential and limitations of remote sensing data from MODIS-Aqua were evaluated for understanding the effects of wildfires on optics and phytoplankton observations. The results showed that MODIS-Aqua data were not suitable for interpreting ecosystem effects during a wildfire, with overestimation of chlorophyll-a concentration and absorption by colored dissolved organic matter. This analysis highlights the importance of in situ sampling for accurately quantifying the impacts of wildfires on ocean ecology and biogeochemistry.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Environmental Sciences
Ilaria Cazzaniga, Giuseppe Zibordi, Frederic Melin
Summary: This study investigates the spectral features of remote sensing reflectance in marine waters during coccolithophore blooms by analyzing radiometric data from Ocean Color sites in the Western Black Sea. The results confirm an increase in reflectance in the blue-green spectral region during coccolithophore blooms, as well as a shift towards the blue as the blooms decline and coccoliths accumulate at the surface. It also highlights the challenges in determining bloom states in optically complex waters and compares satellite data with AERONET-OC radiometric data to show agreements in extreme conditions with significant concentrations of coccoliths.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Remote Sensing
Michael J. Sayers, Gary L. Fahnenstiel, Robert A. Shuchman, Karl R. Bosse
Summary: A new remote sensing approach with a depth-integrated model was developed to estimate global freshwater carbon fixation from satellite observable lakes. Results showed that areal carbon fixation during the growing season decreases with increasing latitude in both hemispheres, with higher fixation rates in the southern hemisphere and the African continent exhibiting the highest rates. Total daily carbon fixation was estimated at 1.03 teragrams of carbon per day, with a majority occurring in the northern hemisphere and North America showing the highest total fixation due to the large number of Canadian Shield lakes.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Environmental Sciences
Yinxue Zhang, Guifen Wang, Shubha Sathyendranath, Wenlong Xu, Yizhe Xiao, Long Jiang
Summary: This study examined the performance of three models for retrieving pigment composition from phytoplankton absorption data, with the Gaussian model and PLS model showing good results. The study demonstrated the potential of hyperspectral-resolution data for retrieving marker pigment concentrations and provided insights for developing bio-optical algorithms from hyperspectral and satellite-based ocean-colour observations.
Article
Environmental Sciences
John A. Gittings, Dionysios E. Raitsos, Robert J. W. Brewin, Ibrahim Hoteit
Summary: Phytoplankton phenology and size structure are key ecological indicators that influence marine ecosystems. This study analyzed 20 years of satellite observations in the Red Sea and found an abnormal phytoplankton bloom event in 2002/2003, which impacted the recruitment success of higher trophic levels and the maximum catch of two commercially important fisheries in the following year.
Article
Biodiversity Conservation
Lin Deng, Wen Zhou, Jie Xu, Wenxi Cao, Jianzu Liao, Jun Zhao
Summary: This study estimated the size-fractionated phytoplankton primary production (PP) in the Northern South China Sea (NSCS) using hyperspectral absorption and irradiance data. The estimated results showed good agreement with in-situ measurements. The derived PP profiles exhibited different spatial distribution patterns in coastal and open ocean areas.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
B. Juhls, A. Matsuoka, M. Lizotte, G. Becu, P. P. Overduin, J. El Kassar, E. Devred, D. Doxaran, J. Ferland, M. H. Forget, A. Hilborn, M. Hieronymi, E. Leymarie, J. Maury, L. Oziel, L. Tisserand, D. O. J. Anikina, M. Dillon, M. Babin
Summary: The increasing air temperatures and permafrost thaw in Arctic river watersheds are directly impacting the aquatic environment and changing the quantity and quality of dissolved organic carbon (DOC) transported into the Arctic Ocean. In this study, the strong seasonal dynamics of the Mackenzie River plume and the distribution of terrigenous DOC on the Beaufort Sea Shelf were shown for the first time using in situ and Satellite Ocean Colour Remote Sensing (SOCRS) data. The performance of different algorithms for atmospheric correction and colored dissolved organic matter retrieval were evaluated, and the established DOC-CDOM relationship allowed estimations of DOC concentrations from SOCRS.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geochemistry & Geophysics
Yu Huan, Deyong Sun, Shengqiang Wang, Hailong Zhang, Zhenghao Li, Yijun He
Summary: A new three-component model was established to better invert the phytoplankton size class concentration in different bathymetric regions. The model performed well in coastal and open ocean areas, but had lower accuracy in mixed ocean regions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Chunlei Ma, Jun Zhao, Bin Ai, Shaojie Sun, Guang Zhang, Wei Huang, Guifen Wang
Summary: This study investigated the responses of phytoplankton to consecutive typhoons in the northern South China Sea in 2018, revealing changes in chlorophyll concentration and size structure of phytoplankton after the passage of the typhoons. It highlighted the potential of remote sensing to accurately assess typhoon-induced variations in phytoplankton size structure and its implications for carbon fluxes and primary production in the future.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Optics
T. J. Smyth, G. A. Tarran, S. Sathyendranath
Summary: New evidence suggests that the shape, internal structure, and orientation of sub-micron picoplankton have a significant impact on the enhancement of forward scatter when analyzed with a flow cytometer. Observational data shows a substantial enhancement in forward scatter direction for Prochlorococcus, indicating potential intra-population differences in shape and structure.
Article
Oceanography
Jozef Skakala, David Ford, Jorn Bruggeman, Tom Hull, Jan Kaiser, Robert R. King, Benjamin Loveday, Matthew R. Palmer, Tim Smyth, Charlotte A. J. Williams, Stefano Ciavatta
Summary: This study focuses on the application and impact of multi-platform data assimilation in the model of the North-West European Shelf sea ecosystem. The findings suggest that glider and satellite data assimilation has a positive impact on phytoplankton spring bloom, showing advantages in improving model performance.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2021)
Article
Environmental Sciences
Chris Kidd, Edward Graham, Tim Smyth, Michael Gill
Summary: Accurate representation of precipitation across the globe is crucial for advancing our understanding of the Earth System. Satellite sensors have the capability to provide estimates of precipitation, but face challenges such as uneven distribution and limitations in estimating light precipitation.
Article
Oceanography
Atsushi Matsuoka, Janet W. Campbell, Stanford B. Hooker, Francois Steinmetz, Kazunori Ogata, Takafumi Hirata, Hiroto Higa, Victor S. Kuwahara, Tomonori Isada, Koji Suzuki, Toru Hirawake, Joji Ishizaka, Hiroshi Murakami
Summary: The study evaluated the performance of JAXA's SGLI standard algorithms for estimating chlorophyll a concentration and CDOM absorption using high-quality data. It was found that the SGLI algorithm significantly underestimated chlorophyll a concentration, especially above 2.0 mg m(-3). The study also discussed potential sources of errors and ways to improve the retrievals.
JOURNAL OF OCEANOGRAPHY
(2022)
Review
Biodiversity Conservation
Laura F. B. Marangoni, Thomas Davies, Tim Smyth, Airam Rodriguez, Mark Hamann, Cristian Duarte, Kellie Pendoley, Jorgen Berge, Elena Maggi, Oren Levy
Summary: The globally widespread adoption of Artificial Light at Night (ALAN) has led to a renewed research focus on its impacts in the marine environment. This review presents the current understanding of ALAN impacts in diverse marine ecosystems and species, including seabirds, sea turtles, and corals. ALAN can mask navigation, change predation patterns, disrupt coral spawning synchronization, and inhibit zooplankton migration. While mitigation measures are recommended, barriers to implementation are poorly understood. Addressing knowledge gaps would aid in predicting and mitigating ALAN impacts in the marine realm.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Biodiversity Conservation
Oak McMahon, Tim Smyth, Thomas W. Davies
Summary: The global prevalence of broad spectrum lighting may disrupt visually guided ecological processes, especially in terms of prey camouflage at night. The conspicuousness of prey, particularly the yellow color morphs, is significantly increased by modern broad spectrum lighting technologies. These findings emphasize the importance of considering artificial light exposure in environmental management and planning.
JOURNAL OF APPLIED ECOLOGY
(2022)
Article
Oceanography
Takafumi Hirata, Koji Suzuki
Summary: This study evaluates the primary production of diatoms, haptophytes, and cyanobacteria in the Kuroshio region using satellite ocean color remote sensing. The findings highlight the differences in the photosynthetic quantum yield index among these phytoplankton groups, which are important for understanding the photosynthesis in marine ecosystems.
JOURNAL OF OCEANOGRAPHY
(2022)
Article
Environmental Sciences
David A. Ford, Shenan Grossberg, Gianmario Rinaldi, Prathyush P. Menon, Matthew R. Palmer, Jozef Skakala, Tim Smyth, Charlotte A. J. Williams, Alvaro Lorenzo Lopez, Stefano Ciavatta
Summary: This study presents a proof-of-concept for a fully automated and adaptive observing system for coastal ocean ecosystems. By using an autonomous ocean robot and exchanging information with operational forecasting models, the study successfully tracked the spring phytoplankton bloom in 2021 and demonstrated the feasibility of an adaptive sampling strategy in an operational context. The assimilation of real-time glider data significantly improved the accuracy of operational biogeochemical forecasts.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Thomas W. Davies, Oren Levy, Svenja Tidau, Laura Fernandes de Barros Marangoni, Joerg Wiedenmann, Cecilia D'Angelo, Tim Smyth
Summary: Coral broadcast spawning events are crucial for coral reef maintenance and recovery, but artificial light at night disrupts the natural light:dark cycles that synchronize spawning. Analysis of a global dataset shows that light-polluted corals spawn closer to the full moon by 1-3 days compared to those in unlit reefs. This alters the timing of mass spawning, potentially reducing fertilization and survival rates, and hindering reef ecosystem resilience.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Irene D. Alabia, Jorge Garcia Molinos, Takafumi Hirata, Franz J. Mueter, Carmen L. David
Summary: This study explored marine biodiversity and potential species associations in eight Arctic marine areas from 2000 to 2019. The research found that species richness in the Arctic has been increasing in the past 20 years, indicating potential emerging areas of species accumulation due to climate-driven species redistribution. Regional species associations were dominated by positive co-occurrences, especially in the Pacific and Atlantic Arctic areas. Comparative analysis of sea ice concentrations revealed contrasting impacts on species richness, community composition, and co-occurrence, highlighting the vulnerability of Arctic marine areas to climate change.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Tim Smyth, Anthony Deakin, Jani Pewter, Darren Snee, Richard Proud, Ruud Verbeek, Vincent Verhagen, Pierre Paschinger, Thomas Bell, James Fishwick, Mingxi Yang
Summary: Global concerns about air quality have led to the implementation of regulations limiting emissions of SOx and NOx by the International Maritime Organization. These limits were initially implemented in emission control areas in densely populated coastal regions such as northwest Europe or eastern USA. However, effective monitoring is necessary to ensure compliance and attribute emissions to individual vessels. We propose the use of low-cost, onboard sensors and satellite-based AIS data telemetry as a cost-effective solution for monitoring ship emissions. We present data from three field-campaigns that have advanced the concept of real-time monitoring of atmospheric ship emissions.
Article
Geosciences, Multidisciplinary
Clare Lewis, Tim Smyth, David Williams, Jess Neumann, Hannah Cloke
Summary: This paper presents a revised and updated catalogue of meteotsunami events in the UK since 1750, confirming a prominent seasonal pattern with winter events associated with mid-latitude depressions. The study also identifies three hotspot areas at the highest risk from meteotsunami. The findings suggest that the hazard posed by meteotsunami has been underestimated in the UK.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Environmental Sciences
T. J. Smyth, A. E. Wright, A. Edwards-Jones, D. McKee, A. Queiros, O. Rendon, S. Tidau, T. W. Davies
Summary: Half of globally significant megacities are located near the coast, posing multiple stressors to urban marine ecosystems. Artificial light at night (ALAN) pollution, in addition to other well recognized sources, has not been quantified adequately in marine ecosystems.
ELEMENTA-SCIENCE OF THE ANTHROPOCENE
(2022)
Article
Ecology
Luis M. Bolanos, Karen Tait, Paul J. Somerfield, Rachel J. Parsons, Stephen J. Giovannoni, Timothy Smyth, Ben Temperton
Summary: SAR11 bacteria play a major role in the carbon cycle in the surface ocean, and their seasonal patterns are influenced by environmental constraints and interannual weather variability.
ISME COMMUNICATIONS
(2022)
Article
Geosciences, Multidisciplinary
Benjamin R. Loveday, Timothy Smyth, Anil Akpinar, Tom Hull, Mark E. Inall, Jan Kaiser, Bastien Y. Queste, Matt Tobermann, Charlotte A. J. Williams, Matthew R. Palmer
Summary: Shelf seas are crucial for the carbon cycle and coastal ecosystems, but measuring their productivity is challenging. This study introduces a new technique combining glider profiles and satellite observations to monitor productivity in real-time. The method was applied in the North Sea for 19 months, providing unprecedented fine-scale time series data.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)
