scholarly journals Use of satellite data for detecting icebergs and evaluating the iceberg threats

2018 ◽  
Vol 58 (4) ◽  
pp. 537-551 ◽  
Author(s):  
I. A. Bychkova ◽  
V. G. Smirnov
Keyword(s):  
Satellite Data ◽  
Radar Data ◽  
Arctic Shelf ◽  
The Arctic ◽  
Satellite Monitoring ◽  
Landsat 8 ◽  
Space Resolution ◽  
Detection Techniques ◽  
Satellite Radar ◽  
High Space

Te methods of satellite monitoring of dangerous ice formations, namely icebergs in the Arctic seas, representing a threat to the safety of navigation and economic activity on the Arctic shelf are considered. Te main objective of the research is to develop methods for detecting icebergs using satellite radar data and high space resolution images in the visible spectral range. Te developed method of iceberg detection is based on statistical criteria for fnding gradient zones in the analysis of two-dimensional felds of satellite images. Te algorithms of the iceberg detection, the procedure of the false target identifcation, and determination the horizontal dimensions of the icebergs and their location are described. Examples of iceberg detection using satellite information with high space resolution obtained from Sentinel-1 and Landsat-8 satellites are given. To assess the iceberg threat, we propose to use a model of their drif, one of the input parameters of which is the size of the detected objects. Tree possible situations of observation of icebergs are identifed, namely, the «status» state of objects: icebergs on open water; icebergs in drifing ice; and icebergs in the fast ice. At the same time, in each of these situations, the iceberg can be grounded, that prevents its moving. Specifc features of the iceberg monitoring at various «status» states of them are considered. Te «status» state of the iceberg is also taken into account when assessing the degree of danger of the detected object. Te use of iceberg detection techniques based on satellite radar data and visible range images is illustrated by results of monitoring the coastal areas of the Severnaya Zemlya archipelago. Te approaches proposed to detect icebergs from satellite data allow improving the quality and efciency of service for a wide number of users with ensuring the efciency and safety of Arctic navigation and activities on the Arctic shelf.

ESTIMATION OF THE ICE-FREE PERIOD LENGTH FOR THE RUSSIAN ARCTIC SEAS BASED ON SATELLITE DATA FOR 2018-2020

2021 ◽  
pp. 48-56
Author(s):  
V. G. SMIRNOV ◽  
◽  
I. A. BYCHKOVA ◽  
N. YU. ZAKHVATKINA ◽  
S. V. MIKHAL’TSEVA ◽  
...  
Keyword(s):  
Neural Network ◽  
Satellite Data ◽  
Radar Data ◽  
Russian Arctic ◽  
Arctic Seas ◽  
Neural Network Method ◽  
Northern Sea Route ◽  
Network Method ◽  
Satellite Radar

The paper describes the experience of using routine satellite radar data to estimate the length of the ice-free period in the Northern Sea Route using a neural network method for the ice cover classification. An earlier onset of melt and a later freezing of ice in the Russian Arctic seas as compared to long-term dates is confirmed.

scholarly journals SATELLITE RADAR MONITORING OF OIL POLLUTION IN THE WATER AREAS BETWEEN ANAPA AND GELENDZHIK IN 2018–2020

2021 ◽  
Vol 49 (1) ◽  
pp. 163-185
Author(s):  
N. A. Knyazev ◽  
O. Yu. Lavrova ◽  
A. G. Kostianoy
Keyword(s):  
Black Sea ◽  
Oil Pollution ◽  
Radar Data ◽  
Oil Products ◽  
Satellite Monitoring ◽  
The Black Sea ◽  
Northeastern Part ◽  
Radar Images ◽  
Data Archives ◽  
Satellite Radar

The paper presents the results of satellite monitoring of oil pollution in the northeastern part of the Black Sea in the area between Anapa and Gelendzhik in 2018–2020. The monitoring was carried out using the archives of radar data obtained by SAR-C radars installed on the Sentinel-1A and -1B satellites. The work with the data archives was carried out using the tools of the “See the Sea” (STS) information system developed at the Space Research Institute of the Russian Academy of Sciences. The conducted satellite monitoring revealed the main sources of sea surface pollution with oil products in the study area. The overwhelming pollution (85%) is associated with discharges of water containing oil products from moving vessels. With the help of STS tools, a map of oil pollution detected on radar images was compiled, on the basis of which the main areas of oil pollution were identified. These include the main shipping routes to the Novorossiysk Sea Port, the anchorage of ships and the water areas of the Tsemes (Novorossiysk) Bay and Gelendzhik Bay. Seasonal and interannual variability of oil pollution was determined on the basis of satellite information for the area between Anapa and Gelendzhik. The results of the 2018–2020 monitoring were compared with those obtained during similar monitoring carried out in 2006–2010. It was concluded that there has been no reduction in the amount of detected pollution, which negatively affects the ecological state of the northeastern part of the Black Sea.

scholarly journals Observation of Maritime Traffic Interruption in Patagonia during the COVID-19 Lockdown Using Copernicus Sentinel-1 Data and Google Earth Engine

2021 ◽  
Vol 13 (6) ◽  
pp. 1119
Author(s):  
Cristina Rodríguez-Benito ◽  
Isabel Caballero ◽  
Karen Nieto ◽  
Gabriel Navarro
Keyword(s):  
Satellite Data ◽  
Spatial Information ◽  
Radar Data ◽  
Google Earth ◽  
Tierra Del Fuego ◽  
Geographical Information ◽  
Synthetic Aperture Radar Data ◽  
Maritime Traffic ◽  
Google Earth Engine ◽  
Satellite Radar

Human mobilization during the COVID-19 lockdown has been reduced in many areas of the world. Maritime navigation has been affected in strategic connections between some regions in Patagonia, at the southern end of South America. The purpose of this research is to describe this interruption of navigation using satellite synthetic aperture radar data. For this goal, three locations are observed using geoinformatic techniques and high-resolution satellite data from the Sentinel-1 satellites of the European Commission’s Copernicus programme. The spatial information is analyzed using the Google Earth Engine (GEE) platform as a global geographical information system and the EO Browser tool, integrated with several satellite data. The results demonstrate that the total maritime traffic activity in the three geographical hotspots selected along western Patagonia, the Chacao Channel, crossing of the Reloncavi Fjord and the Strait of Magellan was totally interrupted during April–May 2020. This fact has relevant repercussions for the population living in isolated areas, such as many places in Patagonia, including Tierra del Fuego. The study also demonstrates the relevance of satellite radar observations in coastal areas with severe cloud cover, such as the one evaluated here.

scholarly journals On the Use of Interferometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards

2021 ◽  
Author(s):  
Mara S. Bernardi ◽  
Pasquale C. Africa ◽  
Carlo de Falco ◽  
Luca Formaggia ◽  
Alessandra Menafoglio ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Natural Hazards ◽  
Satellite Data ◽  
Radar Data ◽  
Ground Subsidence ◽  
Interferometric Synthetic Aperture Radar ◽  
Synthetic Aperture Radar Data ◽  
Monitoring And Forecasting ◽  
Satellite Radar ◽  
Computational Resources

AbstractRecent advances in satellite technologies, statistical and mathematical models, and computational resources have paved the way for operational use of satellite data in monitoring and forecasting natural hazards. We present a review of the use of satellite data for Earth observation in the context of geohazards preventive monitoring and disaster evaluation and assessment. We describe the techniques exploited to extract ground displacement information from satellite radar sensor images and the applicability of such data to the study of natural hazards such as landslides, earthquakes, volcanic activity, and ground subsidence. In this context, statistical techniques, ranging from time series analysis to spatial statistics, as well as continuum or discrete physics-based models, adopting deterministic or stochastic approaches, are irreplaceable tools for modeling and simulating natural hazards scenarios from a mathematical perspective. In addition to this, the huge amount of data collected nowadays and the complexity of the models and methods needed for an effective analysis set new computational challenges. The synergy among statistical methods, mathematical models, and optimized software, enriched with the assimilation of satellite data, is essential for building predictive and timely monitoring models for risk analysis.

РRINCIPLES OF ONSHORE FACILITIES DESIGN FOR THE OBJECTS OF OIL AND GAS COMPLEX IN THE ARCTIC SHELF

2018 ◽  
pp. 62-68
Author(s):  
M.A. Magomedgadzhieva ◽  
◽  
G.S. Oganov ◽  
I.B. Mitrofanov ◽  
A.M. Karpov ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Arctic Shelf ◽  
The Arctic ◽  
Facilities Design

STORM ICE OIL WIND WAVE WATCH SYSTEM (SIOWS): WEB GIS APPLICATION FOR MONITORING THE ARCTIC

2017 ◽  
Author(s):  
Alexander Myasoedov ◽  
Alexander Myasoedov ◽  
Sergey Azarov ◽  
Sergey Azarov ◽  
Ekaterina Balashova ◽  
...  
Keyword(s):  
Satellite Data ◽  
Wind Wave ◽  
Arctic Region ◽  
Web Gis ◽  
The Arctic ◽  
Flexible Tool ◽  
In Situ Data ◽  
Current State ◽  
Watch System

Working with satellite data, has long been an issue for users which has often prevented from a wider use of these data because of Volume, Access, Format and Data Combination. The purpose of the Storm Ice Oil Wind Wave Watch System (SIOWS) developed at Satellite Oceanography Laboratory (SOLab) is to solve the main issues encountered with satellite data and to provide users with a fast and flexible tool to select and extract data within massive archives that match exactly its needs or interest improving the efficiency of the monitoring system of geophysical conditions in the Arctic. SIOWS - is a Web GIS, designed to display various satellite, model and in situ data, it uses developed at SOLab storing, processing and visualization technologies for operational and archived data. It allows synergistic analysis of both historical data and monitoring of the current state and dynamics of the "ocean-atmosphere-cryosphere" system in the Arctic region, as well as Arctic system forecasting based on thermodynamic models with satellite data assimilation.

Investigations of past climate and sea-ice variability in the fjord area by Station Nord, eastern North Greenland

1969 ◽  
Vol 35 ◽  
pp. 67-70 ◽  
Author(s):  
Niels Nørgaard-Pedersen ◽  
Sofia Ribeiro ◽  
Naja Mikkelsen ◽  
Audrey Limoges ◽  
Marit-Solveig Seidenkrantz
Keyword(s):  
Sea Ice ◽  
Outer Part ◽  
Late Summer ◽  
Field Work ◽  
The Arctic ◽  
Research Station ◽  
Fjord System ◽  
Sea Bottom ◽  
Satellite Radar ◽  
North Greenland

The marine record of the Independence–Danmark fjord system extending out to the Wandel Hav in eastern North Greenland (Fig. 1A) is little known due to the almost perennial sea-ice cover, which makes the region inaccessible for research vessels (Nørgaard-Pedersen et al. 2008), and only a few depth measurements have been conducted in the area. In 2015, the Villum Research Station, a new logistic base for scientific investigations, was opened at Station Nord. In contrast to the early exploration of the region, it is now possible to observe and track the seasonal character and changes of ice in the fjord system and the Arctic Ocean through remote sensing by satellite radar systems. Satellite data going back to the early 1980s show that the outer part of the Independence–Danmark fjord system is characterised by perennial sea ice whereas both the southern part of the fjord system and an area 20–30 km west of Station Nord are partly ice free during late summer (Fig. 1B). Hence, marine-orientated field work can be conducted from the sea ice using snow mobiles, and by drilling through the ice to reach the underlying water and sea bottom.

Application of geoinformation technologies for arranging a satellite monitoring system

2019 ◽  
Vol 943 (1) ◽  
pp. 110-118
Author(s):  
A.A. Kadochnikov
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
Remote Sensing Data ◽  
Web Gis ◽  
Nature Management ◽  
Satellite Monitoring ◽  
Technological Support ◽  
Sensing Data ◽  
Territorial Planning ◽  
Operational Information

Today, remote sensing data are an important source of operational information about the environment for thematic GIS, this data can be used for the development of water, forestry and agriculture management, in the ecology and nature management, with territorial planning, etc. To solve the problem of ensuring the effective use of the space activities’results in the Krasnoyarsk Territory a United Regional Remote Sensing Center was created. On the basis of the Center, a new satellite receiving complex of FRC KSC SB RAS was put into operation. It is currently receiving satellite data from TERRA, AQUA, Suomi NPP and FENG-YUN satellites. Within the framework in cooperation with the Siberian Regional Center for Remote Sensing the Earth, an archive of satellite data from domestic Resource-P and Meteor-M2 satellites was created. The work considers some features of softwaredevelopment and technological support tools for loading, processing and publishing remote sensing data. The product is created in the service-oriented paradigm based on geoportal technologies and interactive web-cartography. The focus in this article is paid to the peculiarities of implementing the software components of the web GIS, the efficient processing and presentation of geospatial data.

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