Sentinel – 1 SAR Image Processing for Target Detection and Evaluation by using Bulgarian VTMIS

Alexandrov, Chavdar; Цветков, Мирослав; Kolev, Nikolai; Sivkov, Yordan; Hristov, Avgustin

doi:10.1109/elma.2019.8771549

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Figure 16 (A, B) SAR images in dB SAR surface profiles cover the areas of interest (figure 17) and are in two polarizations to demonstrate that there is a difference in values, for homogeneous areas it is more appropriate to use vh, the presence of flooded areas vv polarization 41,42,43,44 . The difference in moisture is clearly visible (figure 18).…”

Section: B) Gorna Mahalamentioning

confidence: 99%

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

Spasova,

Dancheva,

Avetisyan

et al. 2023

Image and Signal Processing for Remote Sensing XXIX

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Monitoring through satellite data, in situ (including spectrometer data, GPS, thermal camera) , open data, data from various devices and Unmanned Aerial Vehicles (UAV) in the selected anthropogenic sites is of extremely high ecological importance for tracking natural processes, the consequences of climate changes and the creation of a useful model for the analysis of spectral characteristics based on machine learning. The timeliness of the data and the spatial extent of the observed objects allow satellite information to be reliable in monitoring and making predictions about the risk and potential risk of natural disasters, rise of average air temperatures and anthropogenic pollution. The sites were pre-marked based on open data from Non-Governmental Organizations (NGOs) and administration. Data from the Multispectral Instrument (MSI) of the Sentinel 2 platform and SAR of the European Space Agency's Copernicus program, spectrometer (380 nm to 780 nm) and drone data were used. Landsat sensors and data from Sentinel 3 (EUMETSAT) were used to calculate the surface temperature of renewable energy sites such as photovoltaic parks. Data from different years were used in order to track the studied territories according to NUTS2. The result is the development of a useful hybrid model for spectral analysis and tracking of spatial dynamics and surface changes of objects of interest based on satellite and field surveys. Data from the ground mobile and autonomous weather station AWG 1, powered by an environmentally friendly magnesium-air battery was improved specifically for the project. Another important task is the creation of an energy atlas for the benefit of the Earth's Digital Twins. The data is part of an open data catalog of the NGO Eco Global Monitoring TA2.

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Section: B) Gorna Mahalamentioning

confidence: 99%

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

Spasova,

Dancheva,

Avetisyan

et al. 2023

Image and Signal Processing for Remote Sensing XXIX

View full text Add to dashboard Cite

show abstract

“…The availability of ground-based data in addition allows effective and cost-effective monitoring of climate change in remote areas using SAR data. The SAR C-band enables the effective study of various objects [5][6][7][8][9][10][11][12][13][14][15] and especially wet snow and ice 3,4,[16][17][18][19] . Using SAR data, we studied the type of changes in the digital value of the reflected signal (Q) from various objects, including water in different phase states.…”

Section: Introductionmentioning

confidence: 99%

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

Spasova,

Avetisyan

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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Data-driven innovations bring significant benefits to societies directly affected by global warming, as they underpin Global and European climate change policy. The application of a synchronous approach and interoperability of data from different sources for environmental monitoring in one of the most vulnerable to climate change regions in the World is the aim of this research. The research was conducted at Hannah Point peninsula, near the Bulgarian Antarctic base "St. Kliment Ohridski" on Livingstone Island, South Shetland Islands, Antarctica. The study area has high ecological importance for tracking the dynamics of processes not only on a local but also on a global scale. Various research sites with different groups of objects serving as environmental benchmarks were selected to be studied. The study objects include snow cover, wet snow, water, ice (including sea ice), herbaceous vegetation, lichens, mosses, soils, and sand. For each of the objects, ground GPS points were defined and in situ spectrometric measurements were performed. Data from an innovative automatic recording weather station (AWG), as well as various indicators and indices based on the spectral reflectance characteristics of the investigated objects in the optical and microwave range, were used. For their generation were used satellite images from Sentinel-1 and Sentinel-2 sensors of European Space Agency. Multiple optical indices were used to demonstrate the changes in the state of the objects for the summer season of 2022-2023. The data obtained and models used will serve the Bulgarian initiative for the construction of the Digital Twins, which is being on pilot developed in the Department of Aerospace Information (SRTI-BAS) and could be used by a wide range of scientists in the field of polar research as well as for climate change education. Open Data were used in this study, to promote the Open science policy and FAIR principles as much as possible.

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Oil Spills Detection on Sea Surface by using Sentinel–1 SAR Images

Alexandrov

Kolev

Sivkov

et al. 2020

2020 21st International Symposium on Electrical Apparatus &Amp; Technologies (SIELA)

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Sentinel – 1 SAR Image Processing for Target Detection and Evaluation by using Bulgarian VTMIS

Cited by 3 publications

References 5 publications

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

Oil Spills Detection on Sea Surface by using Sentinel–1 SAR Images

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