Article
Chemistry, Multidisciplinary
Yulong Guo, Qingsheng Bi, Yuan Li, Chenggong Du, Junchang Huang, Weiqiang Chen, Lingfei Shi, Guangxing Ji
Summary: A sparse representing method was developed in this study to improve the quality of water hyperspectral data and reduce noise. Experimental results showed that the proposed method outperformed three commonly used methods in different signal-to-noise ratio levels, and effectively eliminated abnormal spectral vibrations.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Karlis Mikelsons, Menghua Wang, Xiao-Long Wang, Lide Jiang
Summary: The study developed a methodology to derive a global medium-resolution land mask from multiple data sources, showing how combining data from different sources can improve the quality and consistency of the data. Using ocean color product imagery to evaluate and validate the new global land mask, the study demonstrated significant improvements in global ocean color data coverage accuracy.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Engineering, Electrical & Electronic
Taixia Wu, Mengyao Li, Shudong Wang, Yingying Yang, Shan Sang, Dongzhen Jia
Summary: This article proposes a new method for black-odor water detection in complex urban conditions, achieving an accuracy of 85.7% and reducing the false alarm rate to 3.5% through the combination of remote sensing images and in situ water-quality measurement data. Compared to existing methods, this method is more practical, accurately extracting black-odor water and applicable to complex urban settings.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
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
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
Geosciences, Multidisciplinary
John R. Gardner, Xiao Yang, Simon N. Topp, Matthew R. V. Ross, Elizabeth H. Altenau, Tamlin M. Pavelsky
Summary: RiverSR database, extracted from Landsat images spanning from 1984 to 2018, reveals that 56% of rivers in the contiguous USA are dominantly yellow and 38% are dominantly green; river color shows three distinct seasonal patterns synchronized with flow regimes; one-third of rivers have experienced significant color shifts over the past 35 years, providing new insights into macrosystems ecology of rivers.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Review
Environmental Sciences
Farzane Mohseni, Fatemeh Saba, S. Mohammad Mirmazloumi, Meisam Amani, Mehdi Mokhtarzade, Sadegh Jamali, Sahel Mahdavi
Summary: This paper reviews the application of remote sensing techniques in ocean water quality (OWQ) monitoring, introducing common OWQ parameters and monitoring techniques. The study finds that chlorophyll-a and colored dissolved organic matter are the dominant parameters for OWQ monitoring, and data from optical and passive microwave sensors are effective in estimating OWQ parameters.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Article
Geochemistry & Geophysics
Safa A. A. Najim, Basaeir Y. Y. Ahmed
Summary: This letter introduces a novel dimension reduction (DR) technique called nonlinear local linear embedding (NLLE) for accurate visualization of remote sensing imagery (RSI) datasets. NLLE reduces the high dimension of large datasets to a space with low dimensionality, while preserving the neighborhood relationship between points in the original space. Compared to other well-known DR techniques, NLLE's flexible procedure increases the likelihood of achieving effective RSI visualization.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Environmental Sciences
Georgii Popandopulo, Svetlana Illarionova, Dmitrii Shadrin, Ksenia Evteeva, Nazar Sotiriadi, Evgeny Burnaev
Summary: This article introduces a method for evaluating and monitoring flood events using remote sensing and artificial intelligence. By combining multispectral and radar data and utilizing deep neural networks, the depth and volume of the flood can be estimated, improving the accuracy and speed of flood damage assessments.
Article
Environmental Sciences
Bo-Cai Gao, Rong-Rong Li
Summary: This study presents a spectrum-matching algorithm using shortwave IR bands to retrieve water leaving reflectances in the visible region from VIIRS data, which can improve spatial coverages over turbid waters.
Article
Engineering, Multidisciplinary
Xinbin Wu, Jisong Wang, Junjie Li, Xuewu Zhang
Summary: Previous studies mainly focused on cracks and leaks in tunnel damage measurement methods, with little research on siltation at the bottom of water conveyance tunnels. This paper proposes a 3D measurement framework based on image 3D reconstruction technology for accurate measurement and intuitive understanding of underwater siltation. The method utilizes structure from motion (SfM) and multi-view stereo (MVS) algorithms to generate 3D point clouds of siltation, which are further processed to obtain accurate measurements of siltation thickness and area.
Article
Environmental Sciences
Zigeng Song, Xianqiang He, Yan Bai, Xinyi Dong, Difeng Wang, Teng Li, Qiankun Zhu, Fang Gong
Summary: In this study, a new AC algorithm called OC-XGBRT was developed to retrieve Rrs(λ) in the presence of AA in the blue and ultraviolet bands. The algorithm, based on radiative simulation and machine learning, aims to improve the quality of ocean color satellite products over inland and coastal waters with AA. Validation and application results showed that OC-XGBRT outperformed other AC algorithms in terms of accuracy and spatial coverage of Rrs(412 nm) and Rrs(443 nm).
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Jawad T. T. Al-Bakri, Guido D'Urso, Alfonso Calera, Eman Abdalhaq, Maha Altarawneh, Armin Margane
Summary: This study demonstrates the use of remote sensing methods to improve agricultural water management in Jordan by mapping irrigated areas and irrigation water consumption. The study applied digital processing and classification methods on satellite data to derive accurate maps of irrigated areas. Relationships between vegetation index and crop coefficient were used to map evapotranspiration, and these estimates were consistent with remotely sensed data. The study identified hotspots where shifts in evapotranspiration and groundwater abstraction were observed, highlighting the issues of illegal abstraction and incorrect metering of groundwater. The results emphasized the importance of remote sensing in providing updated figures on groundwater abstraction and forecasts for future irrigation water consumption.
Review
Environmental Sciences
Chunyan Cheng, Fei Zhang, Jingchao Shi, Hsiang-Te Kung
Summary: Good surface water quality is crucial for human health and ecology, and land use plays a significant role in its degradation. Agricultural and construction land use negatively impact surface water quality, while woodland use has a positive effect. Statistical methods such as correlation analysis and regression analysis are commonly used in related research, and remote sensing monitoring technology has become an effective tool for comprehensive water quality assessment and management. However, the increase in spatial resolution of remote sensing data presents challenges in data interpretation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Geography, Physical
Young Jun Kim, Daehyeon Han, Eunna Jang, Jungho Im, Taejun Sung
Summary: Salinity is a critical factor that affects the circulation and heat transport of oceans. Satellite remote sensing has been used to monitor sea surface salinity (SSS) since 2009. This study reviews the methods of retrieving SSS from satellites and provides guidelines for future research. The limitations and challenges of satellite-derived SSS are also discussed.
GISCIENCE & REMOTE SENSING
(2023)
Article
Environmental Sciences
Julien Jouanno, Jean-Sebastien Moquet, Leo Berline, Marie-Helene Radenac, William Santini, Thomas Changeux, Thierry Thibaut, Witold Podlejski, Frederic Menard, Jean-Michel Martinez, Olivier Aumont, Julio Sheinbaum, Naziano Filizola, Guy Dieudonne Moukandi N'Kaya
Summary: In recent years, there has been a massive proliferation of Sargassum in the Tropical Atlantic, but there is no clear evidence to suggest a significant increase in nutrient fluxes from rivers or that hydrological changes are the primary drivers of Sargassum proliferation. Observations also indicate a decrease in phytoplankton biomass in major Atlantic river plumes over the past two decades, highlighting the need for a better understanding of the nutrient sources sustaining Sargassum and phytoplankton growth in the region.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Mauricio C. R. Cordeiro, Jean-Michel Martinez, Santiago Pena-Luque
Summary: This study introduces a nonparametric unsupervised automatic algorithm for identifying inland water pixels from multispectral satellite data. By utilizing clustering analysis and high-performance subsampling, along with machine learning techniques and a combination of water indices and reflectance bands, the accuracy of water pixel identification is significantly improved.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Paty Nakhle, Olivier Ribolzi, Laurie Boithias, Sayaphet Rattanavong, Yves Auda, Saysongkham Sayavong, Rosalie Zimmermann, Bounsamay Soulileuth, Anne Pando, Chanthamousone Thammahacksa, Emma J. Rochelle-Newall, William Santini, Jean-Michel Martinez, Nicolas Gratiot, Alain Pierret
Summary: In the Mekong basin, over 70 million people rely on unimproved surface water for domestic use, which is often contaminated with fecal matter. Fecal contamination is found to be most severe during the rainy season, especially in forested and mountainous regions.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Rogerio Ribeiro Marinho, Tristan Harmel, Jean-Michel Martinez, Naziano Pantoja Filizola Junior
Summary: Monitoring suspended sediments in black-water rivers through remote sensing data, particularly in the case of the Negro River in the Amazon basin, presents challenges due to low reflectance values caused by high amounts of colored dissolved organic matter. Interannual variability in reflectance is influenced by suspended sediments input from other rivers, such as the Branco River, with the Sentinel-2 MSI Red band proving to be effective in estimating SSC with a high level of accuracy. The study highlights the suitability of sensors like the Sentinel-2 MSI for monitoring suspended sediment concentration in large tropical black-water rivers.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Geography, Physical
Matheus Henrique Tavares, Regina Camara Lins, Tristan Harmel, Carlos Ruberto Fragoso Jr, Jean-Michel Martinez, David Motta-Marques
Summary: Remote monitoring of chlorophyll-a (chla) is widely used for assessing the trophic state of water bodies, but the algorithms applied in different optical water types still face uncertainties. The study evaluated state-of-the-art atmospheric correction and chla algorithms using Sentinel-2 MSI imagery in a tropical system, highlighting the importance of addressing atmospheric and adjacency effects. The research suggests the need to explore suitable combinations of AC + chla algorithms for different optical water types to enable global-scale retrievals of chlorophyll-a pigment using medium-resolution sensors.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Dhalton Luiz Tosetto Ventura, Jean-Michel Martinez, Jose Luiz de Attayde, Eduardo Savio Passos Rodrigues Martins, Nilva Brandini, Luciane Silva Moreira
Summary: By monitoring the chlorophyll a concentration, the eutrophication status and temporal dynamics of phytoplankton biomass in lakes can be understood. This study used MODIS imagery to create time series for three lakes in the Brazilian semi-arid region, revealing the relationship between phytoplankton biomass and the hydraulic regime of the lakes.
Article
Environmental Sciences
Thais R. Benevides T. Aranha, Jean-Michel Martinez, Enio P. Souza, Mario U. G. Barros, Eduardo Savio P. R. Martins
Summary: In this paper, the authors use remote-sensing images to monitor the water quality of reservoirs in semiarid Northeast Brazil. They establish a retrieval model to estimate the concentration of chlorophyll-a and validate its accuracy. The study shows the influence of seasonality and meteorological factors on reservoir water quality, and highlights the usefulness of satellite data for monitoring and assessing changes in water quality.
Article
Geography, Physical
Rogerio Ribeiro Marinho, Naziano Pantoja Filizola Junior, Jean-Michel Martinez, Tristan Harmel
Summary: This study analyzed the spatio-temporal variation of suspended sediment transport in the lower Negro River and found that the hydrological regime and factors such as geology, forest cover, and hydrological variability influence sediment yield. Sentinel-2 images were shown to be useful in monitoring the temporal and spatial dynamics of suspended sediment transport in Amazonian blackwater rivers.
REVISTA BRASILEIRA DE GEOMORFOLOGIA
(2022)
Article
Environmental Sciences
Christian Tottrup, Daniel Druce, Rasmus Probst Meyer, Mads Christensen, Michael Riffler, Bjoern Dulleck, Philipp Rastner, Katerina Jupova, Tomas Sokoup, Arjen Haag, Mauricio C. R. Cordeiro, Jean-Michel Martinez, Jonas Franke, Maximilian Schwarz, Victoria Vanthof, Suxia Liu, Haowei Zhou, David Marzi, Rudiyanto Rudiyanto, Mark Thompson, Jens Hiestermann, Hamed Alemohammad, Antoine Masse, Christophe Sannier, Sonam Wangchuk, Guy Schumann, Laura Giustarini, Jason Hallowes, Kel Markert, Marc Paganini
Summary: Climate change, increasing population, and changes in land use have driven the need for better understanding of surface water dynamics. The availability of environmental data from satellite systems is recognized as an essential tool for water resource monitoring. This study compared 14 different satellite-based approaches and found that a dual sensor approach combining optical and radar satellites is the most effective for large-scale surface water mapping.
Article
Environmental Sciences
Fernanda Fonseca, Bruna Worfarth-Couto, Andre Santos, Rogerio Marinho, Jean-Michel Martinez, Naziano Filizola
Summary: In Brazil, the Amazon region accounts for 99% of malaria cases. Malaria, closely related to climate and hydrological factors, is influenced by variables such as rainfall, river levels, and color (associated with suspended sediment concentration). This study finds that precipitation and river level fluctuations impact the seasonal pattern of the disease and reveals the delayed effects of river floods on malaria incidence. The seasonality of malaria differs across municipalities, but those near rivers with similar water color show similar responses.
Article
Chemistry, Analytical
Henrique Dantas Borges, Jean-Michel Martinez, Tristan Harmel, Rejane Ennes Cicerelli, Diogo Olivetti, Henrique Llacer Roig
Summary: This study analyzed an in situ, high-frequency above-water radiometric dataset collected over 18 days in a tropical reservoir for continuous monitoring of suspended particulate matter (SPM) concentration. Different methods for retrieving reflectance spectra and SPM inversion algorithms were applied and evaluated. The proposed processing approach effectively reduced variability in the resulting SPM concentration assessed from above-water radiometry, paving the way for noninvasive high-frequency monitoring of SPM concentrations in streams and lakes.
Article
Remote Sensing
Diogo Olivetti, Rejane Cicerelli, Jean-Michel Martinez, Tati Almeida, Raphael Casari, Henrique Borges, Henrique Roig
Summary: This study aimed to evaluate the potential of unmanned aerial vehicle (UAV) multi- and hyper-spectral platforms in estimating chlorophyll-a (Chl-a) and cyanobacteria in experimental fishponds in Brazil. Different platforms with varying spectral resolutions, price, payload, imaging system, and processing were tested. The results showed that the UAV hyperspectral image achieved robust assessments for Chl-a and cyanobacteria, with efficient mapping of broad concentration classes. However, the integrated platform has a high cost. More accessible multispectral platforms could provide a trade-off between mapping efficiency and deployment costs, given that they offer specific spectral ranges for the targeted parameters.
Article
Water Resources
Jeremy Guilhen, Marie Parrens, Sabine Sauvage, William Santini, Franck Mercier, Ahmad Al Bitar, Clement Fabre, Jean-Michel Martinez, Jose-Miguel Sanchez-Perez
Summary: This study aims to assess the hydrological functioning of the Madeira Basin at both local and global scales using the SWAT model, and emphasizes the importance of accurate floodplain delineation for computing biogeochemical fluxes and sediment yield.
FRONTIERS IN WATER
(2022)
Article
Water Resources
Thomas Legay, Yoann Aubert, Julien Verdonck, Jeremy Guilhen, Adrien Paris, Jean-Michel Martinez, Sabine Sauvage, Pankyes Datok, Vanessa Dos Santos, Jose Miquel Sanchez-Perez, Stephane Bruxelles, Emeric Lavergne, Franck Mercier
Summary: Water resources management relies on accurate hydrometric data, and satellite data can provide valuable information for global water resources monitoring. Collaborative efforts from scientific and industrial partners have evaluated and improved the use of satellite data for water resources management at the catchment and territorial scale, aiming to deliver precise hydrological indicators through the combination of hydrological models, in-situ data, and satellite data.
LHB-HYDROSCIENCE JOURNAL
(2022)
Article
Water Resources
Alexandre de Amorim Teixeira, Adalene Moreira Silva, Fernando Falco Pruski, Clodoveu Davis Jr, Henrique Llacer Roig, Noris Costa Diniz
Summary: The coding basin system proposed by Pfafstetter is an important reference point for water resources management worldwide. However, it has limitations in representing hydrographic information. This paper proposes improvements to the system, maintaining its simplicity while allowing for the representation of multiple confluences, cycles, delta mouths, sinks, water masses, and disruptions to drainage.
RBRH-REVISTA BRASILEIRA DE RECURSOS HIDRICOS
(2022)
