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ChronosDB in Action: Manage, Process, and Visualize Big Geospatial Arrays in the Cloud
P. 1985–1988.
Immense volumes of geospatial arrays are generated daily. Examples of such include satellite imagery, numerical simulation, and derivative dataavalanche. Array DBMS are one of the prominent tools for working with large geospatial arrays. Usually the arrays natively come as raster files. ChronosDB is a novel distributed, file based, geospatial array DBMS: chronosdb.gis.land . ChronosDB operates directly on raster files, delegates array processing to existing elaborate command line tools, and outperforms SciDB by up to 75 × on average. This demonstration will showcase three new components of ChronosDB enabling users to interact with the system and appreciate its benefits: (i) a WebGUI (edit, submit queries and get the output), (ii) an execution plan explainer (investigate the generated DAG), and (iii) a dataset visualizer (display ChronosDB arrays on an interactive web map).
O. I. Vendina, A. V. Sheludkov, Gritsenko A. A., Regional Research of Russia 2024 Vol. 14 No. Suppl 1 P. S10–S30
The article is based on the materials of the field research conducted in Krasnodar krai in the summer–autumn of 2023, as well as on the analysis of articles and projects devoted to the substantiation of spatial forms and borders of Russian urban agglomerations. The Krasnodar urban agglomeration was chosen for several reasons: (a) the intensive ...
Added: October 10, 2025
Moskovchenko D., Roman Fedorov, Fakhretdinov A., Urban Ecosystems 2025 No. 28 Article 155
The northern part of western Siberia, which comprises the Khanty-Mansiysk and Yamalo-Nenets Autonomous Districts of Tyumen Oblast, Russia, is one of the most urbanized areas exposed to the subarctic climate. Here, we study the specifc socio-natural interactions afected by the development of urban green infrastructure in such climatic zones as middle and northern taiga, as ...
Added: August 4, 2025
Yu. A. Dubnov, A. Yu. Popkov, Polishchuk V. Y. et al., Automation and Remote Control 2023 Vol. 84 No. 1 P. 64–81
Randomized machine learning focuses on problems with considerable uncertainty in data and models. Machine learning algorithms are formulated in terms of a functional entropylinear programming problem. We adapt these algorithms to forecasting problems on an example of the evolution of thermokarst lakes area in permafrost zones. Thermokarst lakes generate methane, a greenhouse gas affecting climate ...
Added: February 5, 2024
Zelenin E., Gurinov A., Garipova S. et al., Journal of Maps 2023 Vol. 19 No. 1 Article 2252006
The Kamchatka Peninsula lies on the eastern active margin of Eurasia, adjacent to the Kuril-Kamchatka subduction zone. In this study, we provide a geomorphological map of the Central Kamchatka Depression – the largest sedimentary basin in Kamchatka and also in all the island arcs of the North Pacific. The depression extends along Kamchatka at latitudes ...
Added: October 27, 2023
Rodriges Zalipynis R. A., PROCEEDINGS OF THE VLDB ENDOWMENT 2023 Vol. 16 No. 12 P. 3938–3941
Array DBMSs operate on 𝑁-d arrays. During the Data Ingestion phase, the widely used mosaic operator ingests a massive collection of overlapping arrays into a single large array, called mosaic. The operator can utilize sophisticated statistical and machine learning techniques, e.g. Canonical Correlation Analysis (CCA), to produce a high quality seamless mosaic where the contrasts ...
Added: August 26, 2023
Shabanov N., Sergey A. Bartalev, Kobayashi H. et al., IEEE Transactions on Geoscience and Remote Sensing 2023 Vol. 61 Article 4405717
Forest is a multi-layered canopy, where overstory and understory implement different biogeochemical cycles, phenology and functional role. Remote sensing products typically estimate forest total Leaf Area Index (LAI), while few quantify its components. The theoretical understanding of foliage distribution between layers is still quite limited. In this study we’ve developed a semi-empirical model for decomposition ...
Added: July 5, 2023
Grigoryev T., Verezemskaya P., Krinitskiy M. et al., Remote Sensing 2022 Vol. 14 No. 22 Article 5837
Global warming has made the Arctic increasingly available for marine operations and created a demand for reliable operational sea ice forecasts to increase safety. Because ocean-ice numerical models are highly computationally intensive, relatively lightweight ML-based methods may be more efficient for sea ice forecasting. Many studies have exploited different deep learning models alongside classical approaches ...
Added: June 19, 2023
IEEE, 2023.
Added: March 22, 2023
Loupian E. A., Bourtsev M. A., Proshin A. A. et al., Remote Sensing 2022 Vol. 14 No. 1 Article 77
Currently, when satellite data volumes grow rapidly and exceed petabyte values and their quality provides reliable analysis of long-term time series, traditional data handling methods assuming local storage and processing may be impossible to implement for small or distributed research teams. Thus, new methods based on modern web technologies providing access to very large distributed ...
Added: January 20, 2023
[б.и.], 2022.
The Dzhety-asar culture occupied a vast and open landscape within the eastern Syr Darya delta during much of the 1st millennium AD. The area is today dried out and comprises some three to four dozen medieval settlements spread across an area of around 3000 km2 . In this sense the study of the culture and ...
Added: November 3, 2022
Gizatullin A., Alekseenko N., Geography, Environment, Sustainability 2022 Vol. 15 No. 2 P. 31–37
Most methods in the field of wildfire prevention are based on expert assessment of fire danger factors. However,
their weights are usually assumed constant for the entire application area despite the geographical and seasonal changes
of factors. This study aimed to develop a wildfire prevention method based on partial and general fire danger ratings taking
into account their ...
Added: October 24, 2022
Rees W. G., Tutubalina O. V., A. Medvedev et al., Polar Record 2022 Vol. 58 Article e37
The vegetation at and beyond the northern edge of the world’s boreal forest plays an important though imperfectly understood role in the climate system. This is particularly true within Russia, where only a small proportion of the boreal land area has been studied in depth, and little is known about its recent evolution over time. ...
Added: October 19, 2022
Bartalev S. A., Богодухов М. А., Zharko V. et al., Современные проблемы дистанционного зондирования Земли из космоса 2022 Т. 19 № 4 С. 195–206
The paper presents an analysis of ICESat-2 data capabilities for forest height estimation and assessment of its spatial distribution over Russia. A brief overview of available current and historic lidar satellite data products is carried out. Physical basis of ATLAS instrument operation as well as an approach to form ATL08 data product with information on ...
Added: October 19, 2022
Bykov P. L., Gordin V. A., Tarasova L. L. et al., IEEE Transactions on Geoscience and Remote Sensing 2022 Vol. 60 Article 4511809
The Hydrometeorological Center of Russia receives 2 agrometeorological information from about 950 stations one time 3 per ten days and the remote sensing Advanced Scatterometer 4 (ASCAT) data from three Meteorological Operational (MetOp) 5 satellites. We suggest a combined objective analysis (OA) of the 6 available water content based on the available water content 7 ...
Added: October 19, 2022
Rodriges Zalipynis R. A., PROCEEDINGS OF THE VLDB ENDOWMENT 2022 Vol. 15 No. 12 P. 3742–3745
Array DBMSs operate on big N-d arrays. Cellular automata (CA) work on a discrete lattice of cells, essentially on N-d arrays. CA facilitate decision support as they realistically simulate complex phenomena including road traffic, fire spread, and urban growth. Array DBMSs can bring numerous benefits to the CA domain via a ``database approach'': powerful parallelization, ...
Added: August 30, 2022
Lukin A., Artemyev A. V., Petrukovich A. A. et al., Physics of Plasmas 2021 Vol. 28 P. 102901–102901
The earth's magnetotail is characterized by stretched magnetic field lines. Energetic particles are effectively scattered due to the field-line curvature, which then leads to isotropization of energetic particle distributions and particle precipitation to the earth's atmosphere. Measurements of precipitation at low-altitude spacecrafts are, thus, often used to remotely probe the magnetotail current sheet configuration. This ...
Added: June 9, 2022
Loupian E., Burtsev M., Proshin A. et al., Remote Sensing 2022 Vol. 14 No. 1 Article 77
Currently, when satellite data volumes grow rapidly and exceed petabyte values and their quality provides reliable analysis of long-term time series, traditional data handling methods assuming local storage and processing may be impossible to implement for small or distributed research teams. Thus, new methods based on modern web technologies providing access to very large distributed ...
Added: February 3, 2022
Bartalev S. A., Stytsenko F. V., Contemporary Problems of Ecology 2021 Vol. 14 No. 7 P. 711–716
The paper presents the results of a lethality assessment of forest fires (the proportion of the dead forest areas in comparison to the total area affected by fire) in Russian forests for the period of 2006-2019 according to remote-sensing data. The determined dependence of the probability of pyrogenic forest destruction on the time of the ...
Added: February 3, 2022
Ruhovich A., Kulyanitsa A., Rukhovich D. et al., International Multidisciplinary Scientific GeoConference 2020 Vol. 20 No. 2.2 P. 421–428
A comparative analysis of large-scale soil maps and cartographic materials of precision farming systems is carried out. Soil maps are created by traditional methods based on ground-based surveys, desk-based decryption of topographic maps and remote sensing materials. Cartographic materials of precision farming systems are represented by maps of stable intra-field heterogeneity of soil fertility. Maps ...
Added: October 31, 2021
Beskopylny A., Shamtsyan M., Springer, 2021.
This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision ...
Added: October 31, 2021
Matasov V., Prishchepov A., Jepsen M. R. et al., Journal of Land Use Science 2019 Vol. 14 No. 4-6 P. 362–377
Historic land-use and land-cover data are important inputs for assessing the impacts of human activity on the environment. Our goal was to reconstruct land-cover change from 1770 to 2010 and to evaluate its spatial determinants and underlying drivers for three study sites in diverse agroecological settings in Ryazan province in European Russia. We used historic ...
Added: October 8, 2021
Balashov I., Bartalev S. A., Bartalev S. S. et al., , in: IOP Conference Series: Earth and Environmental Science, Vol. 507Vol. 507: All-Russian scientific-technical conference "Digital technologies in forest sector" 26 – 27 March 2020, Saint Petersburg, Russian Federation.: Institute of Physics Publishing, 2020. Ch. 012002 P. 1–7.
Added: September 29, 2021