Article
Computer Science, Artificial Intelligence
Jose F. Aldana-Martin, Jose Garcia-Nieto, Maria del Mar Roldan-Garcia, Jose F. Aldana-Montes
Summary: Remote sensing technology provides a technological framework for advanced applications in various fields, with Earth Observation becoming increasingly important. Knowledge-driven approaches remain a challenge in remote sensing, with semantic technologies showing high success in knowledge representation in the Earth Observation domain.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Gael Many, Nicolas Escoffier, Michele Ferrari, Philippe Jacquet, Daniel Odermatt, Gregoire Mariethoz, Pascal Perolo, Marie-Elodie Perga
Summary: This study uses remote sensing technology to analyze whiting events in Lake Geneva and finds that these events mainly occur in the northeastern part of the lake with highly reproducible environmental conditions. The inter-annual changes of whiting occurrences are significantly related to the Western Mediterranean and Atlantic oscillation indices.
Article
Remote Sensing
Zhenfeng Shao, Wenfu Wu, Deren Li
Summary: Urban remote sensing is crucial for urban observation, requiring data with high resolution. Existing satellites cannot fulfill all requirements, thus coordination of data is necessary. This study introduced an urban spatio-temporal-spectral observation model to address the gap in existing frameworks, and proposed four specific applications.
GEO-SPATIAL INFORMATION SCIENCE
(2021)
Article
Environmental Sciences
Shridhar D. Jawak, Bo N. Andersen, Veijo A. Pohjola, Oystein Godoy, Christiane Hubner, Inger Jennings, Dariusz Ignatiuk, Kim Holmen, Agnar Sivertsen, Richard Hann, Hans Tommervik, Andreas Kaab, Malgorzata Blaszczyk, Roberto Salzano, Bartlomiej Luks, Kjell Arild Hogda, Rune Storvold, Lennart Nilsen, Rosamaria Salvatori, Kottekkatu Padinchati Krishnan, Sourav Chatterjee, Dag A. Lorentzen, Rasmus Erlandsson, Tom Rune Lauknes, Eirik Malnes, Stein Rune Karlsen, Hiroyuki Enomoto, Ann Mari Fjaeraa, Jie Zhang, Sabine Marty, Knut Ove Nygard, Heikki Lihavainen
Summary: SIOS is an international partnership focusing on the environment and climate in and around Svalbard, aiming to develop an efficient observing system and support various scientific activities for the Arctic science community. The COVID-19 pandemic has affected research activities in Svalbard, leading SIOS to initiate operational activities to mitigate the new challenges posed by the global crisis.
Article
Environmental Sciences
Donghui Shi, Yishao Shi, Qiusheng Wu
Summary: This study proposed a multidimensional assessment framework for evaluating water provisioning ecosystem services and applied it to assess lake water ecosystem services in Minnesota. The findings showed degradation in water provisioning ecosystem services over 1998-2018, with different levels of severity in different regions, and a greater impact of human activities compared to climate changes. The results can help policymakers prioritize protection, conservation, and restoration of lake ecosystems and the framework can be adapted for evaluating ecosystem services in other regions.
Article
Environmental Sciences
Alfred Wuest, Damien Bouffard, Jean Guillard, Bastiaan W. Ibelings, Sebastien Lavanchy, Marie-Elodie Perga, Natacha Pasche
Summary: The open water platform on Lake Geneva offers a new approach for studying ecological processes in lakes, providing continuous access and a wide range of analytical capabilities. It supports multidisciplinary empirical research in limnology, atmospheric sciences, and remote sensing, and has already attracted a large number of projects due to its efficacy and necessity.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2021)
Article
Geography, Physical
Zhengyang Zhang, Lei Lu, Yuhe Zhao, Yuanyuan Wang, Dandan Wei, Xiaodan Wu, Xuanlong Ma
Summary: Vegetation plays a crucial role in the Earth system and its parameters are widely used in global vegetation monitoring and Earth system modeling. Most of the remote sensing data used for vegetation applications come from American or European satellites. Therefore, it is important to explore the usefulness of Chinese Earth Observation Satellites (CEOSs) for remote sensing of vegetation.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
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)
Editorial Material
Geosciences, Multidisciplinary
Morgan A. Crowley, Michelle Stuhlmacher, Erin D. Trochim, Jamon van den Hoek, Valerie J. Pasquarella, Sabrina H. Szeto, Jeffrey T. Howarth, Rud Platt, Samapriya Roy, Beth Tellman, T. C. Chakraborty, Amber Ignatius, Emil Cherrington, Kel Markert, Qiusheng Wu, M. D. Madhusudan, Timothy Mayer, Jeffrey A. Cardille, Tyler Erickson, Rebecca Moore, Nicholas E. Clinton, David Saah
Summary: Earth observation is undergoing a paradigm shift with the development of cloud-based platforms. There is a need for expanded educational capacity to leverage these developments and increase the impact of EO research and teaching.
Article
Engineering, Electrical & Electronic
Camilla Baratto, Guido Faglia, Luca Carletti, Costantino De Angelis
Summary: This paper reviews the recent trends in optical resonant sensors involving plasmonic and geometrical resonances, which are activated by excitation with electromagnetic light of proper wavelength. Plasmonic hot electrons obtained by shining light on metal nanoparticle decorated metal oxides can bring new effects in physicochemical processes. Geometrical resonances play a role in Mie and Whispering Gallery Modes (WGM)-based sensing, including metasurfaces for optical detection of molecules and nonlinear effects in metamaterials.
IEEE SENSORS JOURNAL
(2021)
Review
Remote Sensing
Lei Luo, Xinyuan Wang, Huadong Guo, Xin Jia, Anchuan Fan
Summary: Observing archaeological objects of interest is crucial for understanding past human-environment interactions and the evolution of ancient civilizations. The use of Earth observation technology has become popular in the past decades, providing advanced observational approaches and analysis of archaeological objects all over the world. This paper provides a brief review on the progress, application, advantages and limitations of EO-based solutions in archaeological object prospecting.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Zhonggang Zheng, Qingmei Li, Kun Fu
Summary: The paper proposed an evaluation model for remote sensing observation capability (RSOCE) based on analytic hierarchy process to quantitatively assess the capability of multi-satellite cooperative remote sensing observation. By decomposing complex problems, comparing factors, and obtaining weights, the model can support the evaluation of resource satellites' observation capability. The results demonstrate that the model can provide quantitative reference and support for assessing the collaborative observation capability of remote sensing satellites.
Article
Geography, Physical
Meng Jin, Ming Lin, Yufu Liu, Yuqi Bai
Summary: This paper discusses the importance of evaluating Earth Observation (EO) potential in meeting user requirements for Sustainable Development Goal (SDG) monitoring. It also presents a model that matches EO capabilities with user requirements, using SDG indicators as a basis.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Environmental Sciences
Luca Oggioni, David Sanchez del Rio Kandel, Giorgio Pariani
Summary: This article investigates the application of a multiband spatial compressive sensing acquisition system based on pushbroom scanning in cryosphere monitoring. Through the analysis and comparison of reconstruction algorithms for static images and moving frames, design guidelines are provided.
Review
Environmental Sciences
Yongze Song, Peng Wu
Summary: Infrastructure is a fundamental sector for sustainable development, and Earth observation has great potentials for sustainable infrastructure development. Despite limited implementations, Earth observation has close associations with sustainable infrastructure and Sustainable Development Goals, demonstrating significant contributions and potentials.
Article
Environmental Sciences
Cintia L. Ramon, Hugo N. Ulloa, Tomy Doda, Damien Bouffard
Summary: The interaction between a uniform cooling rate at the lake surface and sloping bathymetry efficiently drives cross-shore water exchanges. This study examines how moderate winds affect convective cross-shore transport in lakes, revealing that wind can modify the convective circulation and enhance cross-shore exchange.
WATER RESOURCES RESEARCH
(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
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
Geosciences, Multidisciplinary
T. Doda, H. N. Ulloa, C. L. Ramon, A. Wuest, D. Bouffard
Summary: This research demonstrates the impact of the interaction between penetrative convection and downslope gravity currents on the fluid dynamics and transport in littoral aquatic systems. The study reveals that convective plumes can penetrate gravity currents, leading to large vertical fluctuations that enhance vertical mixing and erode the stratified flow, thus limiting basin-scale transport.
GEOPHYSICAL RESEARCH LETTERS
(2023)
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
Limnology
Maciej Bartosiewicz, Jessica Venetz, Saskia Laeubli, Oscar Sepulveda Steiner, Damien Bouffard, Jakob Zopfi, Moritz F. F. Lehmann
Summary: The study reveals the existence of methane paradox in oxygenated waters of a lake and identifies the factors contributing to the variability in its magnitude. It also suggests that methanogenesis in zooplankton detritus is stimulated through the addition of methylphosphonate.
LIMNOLOGY AND OCEANOGRAPHY
(2023)
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
Limnology
Pascal Perolo, Nicolas Escoffier, Hannah E. Chmiel, Gael Many, Damien Bouffard, Marie-Elodie Perga
Summary: In alkaline freshwater systems, bicarbonates can support gross primary production (GPP) even at low CO2 concentrations. However, the contribution of bicarbonates to GPP in lakes has not been quantified throughout the seasons. This study analyzes the daily stoichiometric ratios of CO2-O-2 and alkalinity-O-2 in a deep hardwater lake, revealing that alkalinity is the dominant inorganic carbon source for GPP in both littoral and pelagic environments during the stratified period.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Olivia Desgue-Itier, Laura Melo Vieira Soares, Orlane Anneville, Damien Bouffard, Vincent Chanudet, Pierre Alain Danis, Isabelle Domaizon, Jean Guillard, Theo Mazure, Najwa Sharaf, Frederic Soulignac, Viet Tran-Khac, Brigitte Vincon-Leite, Jean-Philippe Jenny
Summary: The long-term effects of climate change on lakes globally include substantial changes in thermal regime and oxygen solubility, which can alter ecosystem processes, habitats, and substance concentrations. Although long-term model projections of climate change effects on lakes have been developed, they are rarely compared with multi-decade observations. Additionally, global-scale forcing parameters in lake models have limitations that require significant downscaling. In this study, the effects of climate change on thermal regime and oxygen solubility were analyzed in the four largest French peri-alpine lakes over a period of 1850-2100. The results indicate a critical alteration in lake thermal and oxygen conditions in the coming decades and underscore the need for better integration of long-term lake observatories data and lake models to anticipate climate effects on lake thermal regimes and habitats.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Artur Safin, Damien Bouffard, Firat Ozdemir, Cintia L. Ramon, James Runnalls, Fotis Georgatos, Camille Minaudo, Jonas Sukys
Summary: In this study, a new Bayesian inference method is proposed for constructing a three-dimensional model of lakes, considering stochastic weather and high-frequency observational data. By combining Bayesian inference with hydrodynamics software, uncertainty in atmospheric forcing is mitigated, and a bidirectional long short-term memory neural network is used to improve uncertainty quantification in the particle filter.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Geosciences, Multidisciplinary
Tomy Doda, Cintia L. Ramon, Hugo N. Ulloa, Alfred Wuest, Damien Bouffard
Summary: This study focuses on the seasonality of lateral transport induced by thermal siphons (TSs) and investigates how seasonally varying forcing conditions control the occurrence and intensity of TSs. Observations from Rotsee, a wind-sheltered temperate lake, show that TSs occur frequently in autumn and efficiently flush the littoral region. The results also reveal a decrease in lateral transport by a factor of 2 due to seasonal changes, and the timing of TSs relates to daily heating and cooling phases.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)