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Marzieh Derakhshannia, Carmen Gervet, Hicham Hajj-Hassan, Anne Laurent and Arnaud Martin
The realm of big data has brought new venues for knowledge acquisition, but also major challenges including data interoperability and effective management. The great volume of miscellaneous data renders the generation of new knowledge a complex data anal...
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Danisa Dolder, Gustavious P. Williams, A. Woodruff Miller, Everett James Nelson, Norman L. Jones and Daniel P. Ames
Water quality data collection, storage, and access is a difficult task and significant work has gone into methods to store and disseminate these data. We present a tool to disseminate research in a simple method that does not replace but extends and leve...
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Sulong Zhou, Pengyu Kan, Janet Silbernagel and Jiefeng Jin
Freshwater lakes supply a large amount of inland water resources to sustain local and regional developments. However, some lake systems depend upon great fluctuation in water surface area. Poyang lake, the largest freshwater lake in China, undergoes dram...
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Christoph Quix,Rihan Hai,Ivan Vatov
Pág. 67 - 83
In addition to volume and velocity, Big data is also characterized by its variety. Variety in structure and semantics requires new integration approaches which can resolve the integration challenges also for large volumes of data. Data lakes should reduc...
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Weizhong Zeng, Ke Xu, Sihang Cheng, Lei Zhao and Kun Yang
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could p...
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Karina Nielsen, Lars Stenseng, Ole Baltazar Andersen, Per Knudsen
Pág. 1 - 13
Over the last few decades, satellite altimetry has proven to be valuable for monitoring lake levels. With the new generation of altimetry missions, CryoSat-2 and Sentinel-3, which operate in Synthetic Aperture Radar (SAR) and SAR Interferometric (SARIn) ...
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Luyan Ji, Xiurui Geng, Kang Sun, Yongchao Zhao and Peng Gong
Extracting surface water distribution with satellite imagery has been an important subject in remote sensing. Spectral indices of water only use information from a limited number of bands, thus they may have poor performance from pixels contaminated by i...
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Darwin Gómez Fernández, Rolando Salas López, Nilton B. Rojas Briceño, Jhonsy O. Silva López and Manuel Oliva
Amazonas is a mountain region in Peru with high cloud cover, so using optical data in the analysis of surface changes of water bodies (such as the Burlan and Pomacochas lakes in Peru) is difficult, on the other hand, SAR images are suitable for the extra...
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Nikita Tananaev
Major ions, stable isotopes, and trace elements, including rare earth elements (REEs), are used as natural tracers in the qualitative assessment of potential water sources in lakes and rivers of the upper Yana River basin, between Verkhoyansk and Chersky...
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Wei Shang, Shuanggen Jin, Yang He, Yuanyuan Zhang and Jian Li
Poyang Lake, Dongting Lake, and Taihu Lake are the largest freshwater lakes in the middle and lower reaches of the Yangtze River, China. In recent years, the eutrophication level of lakes has increased with the development of the social economy and cause...
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Nikolaos Mellios, S. Jannicke Moe and Chrysi Laspidou
Cyanobacterial blooms are considered a major threat to global water security with documented impacts on lake ecosystems and public health. Given that cyanobacteria possess highly adaptive traits that favor them to prevail under different and often compli...
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Mahrokh Moknatian and Michael Piasecki
This paper presents the development of an evenly spaced volume time series for Lakes Azuei and Enriquillo both located on the Caribbean island of Hispaniola. The time series is derived from an unevenly spaced Landsat imagery data set which is then expose...
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Carly Hyatt Hansen and Gustavious Paul Williams
Spectral images from remote sensing platforms are extensively used to estimate chlorophyll-a (chl-a) concentrations for water quality studies. Empirical models used for estimation are often based on physical principles related to light absorption and emi...
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Larisa Nazarova, Liudmila Syrykh, Ivan Grekov, Tatiana Sapelko, Andrey B. Krasheninnikov and Nadia Solovieva
Northwestern Russia remains the only region in Northern Eurasia where no regional chironomid-based inference model for quantitative palaeoclimatic reconstructions has been developed. Using palaeolimnological methods, we investigated the subfossil chirono...
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Sergey Bogdanov, Roman Zdorovennov, Nikolai Palshin, Tatiana Efremova and Galina Zdorovennova
The intensity of vertical heat and mass transfer remains among the challenging topics in the study of ice-covered lakes. Presumably, internal waves (IWs) make a significant contribution to the heat transfer in the water column. However, the mechanisms of...
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Galena Pisoni, Bálint Molnár and Ádám Tarcsi
We live in an era of big data. Large volumes of complex and difficult-to-analyze data exist in a variety of industries, including the financial sector. In this paper, we investigate the role of big data in enterprise and technology architectures for fina...
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Juan Soria, Miguel Jover and José Antonio Domínguez-Gómez
Wind significantly influences suspended matter in lakes, especially in shallow lagoons. To know how wind affects the water in Albufera of Valencia, a shallow coastal lagoon, the measured variables of turbidity and transparency have been correlated with t...
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Daniel Hölbling, Lorena Abad, Zahra Dabiri, Günther Prasicek, Tsai-Tsung Tsai and Anne-Laure Argentin
Large rainfall-induced landslides are among the most dangerous natural hazards in Taiwan, posing a risk for people and infrastructure. Thus, better knowledge about the evolution of landslides and their impact on the downstream area is of high importance ...
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Nida Qayyum, Sajid Ghuffar, Hafiz Mughees Ahmad, Adeel Yousaf and Imran Shahid
Glacial lakes mapping using satellite remote sensing data are important for studying the effects of climate change as well as for the mitigation and risk assessment of a Glacial Lake Outburst Flood (GLOF). The 3U cubesat constellation of Planet Labs offe...
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Liguang Jiang, Raphael Schneider, Ole B. Andersen and Peter Bauer-Gottwein
Monitoring the variation of rivers and lakes is of great importance. Satellite radar altimetry is a promising technology to do this on a regional to global scale. Satellite radar altimetry data has been used successfully to observe water levels in lakes ...
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