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
Monica Demetriou, Dionysios E. Raitsos, Antonia Kournopoulou, Manolis Mandalakis, Spyros Sfenthourakis, Stella Psarra
Summary: Due to the lack of long-term in situ datasets, the study uses remotely sensed ocean-colour observations and in situ data to investigate phytoplankton seasonal succession in coastal waters of Cyprus. The results show that the growth period of phytoplankton begins in November, peaks in February and ends in April, with a duration of approximately 4 months. The dominant components of the phytoplankton community are nano- and micro-plankton cells, and during the peak in February, nanophytoplankton and potentially larger diatoms play a major role.
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
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
Environmental Sciences
Carlos A. S. Araujo, Claude Belzile, Jean-Eric Tremblay, Simon Belanger
Summary: This study investigated the seasonal and spatial variability of surface phytoplankton assemblages and associated environmental niches in a human-impacted subarctic coastal bay in Quebec, Canada. The results showed that the phytoplankton assemblages in the Bay of Sept-iles were more diverse than in the central portion of the St. Lawrence Estuary. The temporal distribution of the phytoplankton assemblages reflected the major seasonal signal of the nearshore subarctic environment.
FRONTIERS IN MARINE SCIENCE
(2022)
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
Environmental Sciences
Eko Siswanto, Yoshikazu Sasai, Kazuhiko Matsumoto, Makio C. Honda
Summary: By analyzing ocean color data, we found that the instability of the Kuroshio Extension affects the phenology of phytoplankton during winter-spring. Unstable Kuroshio Extension leads to higher chlorophyll-a (CHL) levels during winter and spring, due to increased nutrient and light availability. This finding suggests that the instability of the Kuroshio Extension may have implications for higher trophic level organisms in the ecosystem.
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
Environmental Sciences
Gavin H. Tilstone, Peter E. Land, Silvia Pardo, Onur Kerimoglu, Dimitry Van der Zande
Summary: Primary production (PP) is a sensitive indicator of disturbance in the marine environment. Using data from 21 years of Copernicus Marine Service (CMEMS) Ocean Colour, we assessed areas in the NE Atlantic with similar PP values and defined thresholds to detect disturbances. Case studies of volcanic eruption and riverine input demonstrated the accuracy of using remotely sensed ocean colour data to identify disturbances in the NE Atlantic.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
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
Afonso Ferreira, Vanda Brotas, Carla Palma, Carlos Borges, Ana C. Brito
Summary: Phytoplankton bloom phenology in the Western Iberian Coast was studied using remote sensing data, defining different phenoregions with varying bloom patterns. Oceanic phytoplankton in northern waters exhibit classic spring blooms, while those in southern waters typically begin in late autumn. Coastal phytoplankton blooms are short-lived, high-biomass, and highly heterogeneous, influenced by various factors.
Review
Plant Sciences
Iryna Dronova, Sophie Taddeo
Summary: Remote sensing has great potential in elucidating mechanistic drivers of phenology and underlying plant community processes, but there are still challenges to overcome. Remote sensing can meet emerging needs for indicators of plant diversity, vegetation structure, and ecosystem change. It can also provide clues on ecological resilience. However, barriers exist in choosing phenological estimation methods and interpreting phenological patterns.
JOURNAL OF ECOLOGY
(2022)
Article
Oceanography
Haipeng Zhao, Atsushi Matsuoka, Manfredi Manizza, Amos Winter
Summary: Eighteen years of remotely-sensed ocean color data in high northern latitudes show a significant increase in double blooms of phytoplankton, especially in the North Atlantic, Gulf of Alaska, and southern Chukchi Sea. The occurrence of double blooms is dependent on latitude and seasonal changes in sea surface temperature and mixed layer depth. Single blooms indicated by Chlorophyll a dominate in subpolar-polar waters and occur close to the timing of the Particulate Inorganic Carbon peak.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2022)
Article
Environmental Sciences
Shuai Zhang, Tamlin M. Pavelsky, Christopher D. Arp, Xiao Yang
Summary: A remote sensing-derived lake ice phenology database covering all lakes in Alaska from 2000 to 2019 was constructed to analyze the trends of earlier breakup and later freezeup of lake ice in the region. The dataset showed significant trends towards earlier or later ice breakup and freezeup for various lakes, with most significant trends observed in lakes north of the Brooks Range. This dataset contributes to the understanding of interactions between lake processes and climate change, supporting research on biogeochemical, limnological, and ecological regimes in Alaska and pan-Arctic regions.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
