Dr. Temenuzhka Spasova Profile

Dr. Temenuzhka Spasova

scientist at Space Research and Technology Institute

SPIE Involvement:

Author

Publications (29)

Proceedings Article | 20 November 2024 Poster + Paper

Application of satellite data for monitoring eutrophication in glacial lakes of Rila mountain, Bulgaria

Andrey Stoyanov, Temenuzhka Spasova

Proceedings Volume 13191, 131910Z (2024) https://doi.org/10.1117/12.3031669

KEYWORDS: Satellites, Landsat, Vegetation, Environmental monitoring, Climate change, Earth observing sensors, RGB color model, Near infrared, Satellite imaging, Image processing

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Proceedings Article | 20 November 2024 Poster + Paper

Assessment of mosses in Antarctica based on remote sensing and chlorophyll fluorescence

Temenuzhka Spasova, Daniela Avetisyan, Iva Ivanova, Nataliya Stankova

Proceedings Volume 13191, 131910V (2024) https://doi.org/10.1117/12.3031486

KEYWORDS: Chlorophyll, Vegetation, Fluorescence, Satellites, Ultraviolet radiation, Moisture, Analytical research, Remote sensing, Ice, Spectroscopy

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Chlorophyll fluorescence refers to the emission of light by chlorophyll molecules when they are excited by absorbed light. Chlorophyll is the pigment responsible for photosynthesis – the process through which plants and other photosynthetic organisms convert light energy into chemical energy. The intensity of chlorophyll fluorescence can vary based on geographical latitude as well as other environmental factors. In Antarctica, where the extreme climatic conditions define the ecosystem, mosses are one of the few land-based organisms that can survive and thrive. The Antarctic Peninsula is especially known for its sparse but resistant vegetation, including several moss species that have adapted to extreme conditions like low temperatures, intense ultraviolet (UV) radiation, and repeated freeze-thaw cycles. These mosses are essential for maintaining the ecological balance in the region and offer important insights into how extreme environments affect plant physiology. This research aims to compare the spectral properties of mosses and lichens, with a focus on differences in their fluorescence intensity on Livingston Island, Antarctica, during the summer season. Field research in Antarctica was carried out in order to validate data obtained from Sentinel 2 MSI satellite images, drone photography, and photogrammetry. A spectrometer was used to analyze the visible spectrum ranging from 380nm to 780nm, corresponding to the spectral ranges utilized by the Sentinel 2 MSI and Sentinel 3 SLSTR satellites. The main research methods involve evaluating chlorophyll fluorescence response and applying various optical indices for remote sensing, including Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Moisture Stress Index (MSI). A radar index generated from processing Sentinel 1 data is utilized as well. These methods enable a thorough analysis of photosynthetic activity and plant health in extreme conditions, providing insights into the adaptive mechanisms of mosses in polar environments.

Proceedings Article | 13 November 2024 Poster + Paper

Snow cover mapping based on a multi-index technique in Vitosha, Pirin and Rila mountains

Temenuzhka Spasova, Daniela Avetisyan, Andrey Stoyanov

Proceedings Volume 13197, 131971B (2024) https://doi.org/10.1117/12.3031481

KEYWORDS: Snow cover, Satellites, Spectroscopy, Vegetation, Reflectivity, Thermal imaging cameras, Satellite imaging, Remote sensing, Color, Temperature metrology

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Snow cover over the Northern Hemisphere plays a crucial role in the Earth’s hydrology and surface energy balance, and modulates feedbacks that control variations of global climate. Seasonal snow cover is the most dynamic element of the cryosphere. It responds rapidly to atmospheric conditions on timescales of days to weeks and, in fact, exhibits the greatest seasonal variation of any geophysical element on Earth's surface.

While large changes in snow cover are useful as indicators of climate change, snow also affects other components of the Earth system at different scales. The aim of the study is to track the use of different data and a differentiated approach to track the state of the snow cover. The object of research is the snow cover and its condition around Vitosha, Rila and Pirin mountains.

The objects are mapped according to data of the European Space Agency (ESA) - Copernicus program. Data from different spectral snow mapping are obtained, which can be used to estimate results for quantitative changes in snow cover and wet snow cover. The data used are of high spatial resolution. The snow mapping system has sufficient temporal and spatial resolution. The research also emphasizes the possibilities that field data provide for validating the results of satellite data. Field data were collected from three different areas of interest in mountainous conditions. These are data from a mobile spectrometer Sekonic C-800 with a wavelength of 380 to 780nm and a thermal camera with a wavelength of 8 - 14 μm.

A differentiated approach was used in spectral mapping based on data from spectral indices such as Normalized Difference Forest Snow Index (NDFSI), Normalized Difference Snow Index (NDSI) and Normalized Difference Vegetation Index (NDVI). The study doesn't make a detailed characterization of each of the example areas, but demonstrates the use and combination of the integrated methodology for monitoring a database from different ranges of the Electromagnetic Spectrum.

Proceedings Article | 1 November 2024 Poster

Spectral analysis and mapping of heat islands over landfills in Bulgaria

Temenuzhka Spasova, Adlin Dancheva

Proceedings Volume 13198, 131980G (2024) https://doi.org/10.1117/12.3031484

KEYWORDS: Analytical research, Data modeling, Spectral models, Satellites, Unmanned aerial vehicles, Spectroscopy, Optical spheres, Information security, Databases, Climatology

Proceedings Article | 13 September 2024 Open Access

Assessment of heat islands in the south-east planning region in Bulgaria by remote sensing

Temenuzhka Spasova, Adlin Dancheva

Proceedings Volume 13212, 132121N (2024) https://doi.org/10.1117/12.3038629

KEYWORDS: Satellites, Landsat, Vegetation, Land cover, Data modeling, Pollution, Environmental monitoring, Satellite imaging, Earth observing sensors, Agriculture

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Proceedings Article | 13 September 2024 Open Access

Spectral analysis and mapping of unregulated landfills in Varna, North-Еast planning region of Bulgaria

Temenuzhka Spasova, Daniela Avetisyan, Adlin Dancheva, Iva Ivanova, Miroslav Tsvetkov

Proceedings Volume 13212, 132121L (2024) https://doi.org/10.1117/12.3038624

KEYWORDS: Satellites, Vegetation, Plastics, Landsat, Earth observing sensors, Environmental monitoring, Satellite imaging, Spectroscopy, Orthophoto maps, Land cover

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The Research, Innovation and Digitalisation Programme for Economic Transformation in Bulgaria is one of the tools to respond to the country’s strategic needs and priorities for the implementation of a common research and innovation development policy in favour of the country’s accelerated economic development. It also responds to the need to speed up the processes of public sector digitalisation and to build an enabling digital environment that ensures high-quality and secure exchange of information between different spheres of life and enhance the effects of their interaction1 . Developing a useful hybrid spectral analysis model to track climate change is the aim of this research. The subject of research is the dynamics tracked by the hybrid model for spectral analysis of unregulated landfills. For this purpose, a database of several identical climatic seasons (10 years) was created and processed to verify and validate the research based on satellite and in situ data. The study covers an example from NUTS2, the North East (BG33) planning region (under the Regional Development and Improvement Act). The generated data is of high value according to the European Commission. They are for a period of at least five years. The study of the unregulated landfills is of national importance and the selected events from the territory of Bulgaria have been studied and monitored through a complex approach based on satellite data and ground-based innovative spectrometric equipment through a mobile spectrometer and a thermal camera. Indices such as Normalized Difference Vegetation Index (NDVI), Normalized Differential Greenness Index (NDGI) and Tasseled cap transformation (TCT) are also applied. Data from Orthophoto, Landsat-9 OLI-2/TIRS-2, Sentinel 2MSI and Sentinel-3 SLTRS satellites were used. Data from Corine Land Cover 2018 Copernicus and Open data were also used in the study. Through this research, the data being generated for unregulated landfills can be supplemented and will be used to create of register and their use by various stakeholders.

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Proceedings Article | 13 September 2024 Open Access

Spectral analysis and mapping of unregulated and regulated landfills in Bulgaria

Temenuzhka Spasova, Iva Ivanova, Daniela Avetisyan, Adlin Dancheva

Proceedings Volume 13212, 132121M (2024) https://doi.org/10.1117/12.3038626

KEYWORDS: Satellites, Vegetation, Plastics, Landsat, Satellite imaging, Earth observing sensors, Data modeling, Thermal imaging cameras, Color, Spectroscopy

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Proceedings Article | 14 June 2024 Poster

Spectral analysis and mapping of unregulated and regulated landfills by planning areas (NUTS 2) in Bulgaria

Temenuzhka Spasova, Iva Ivanova, Daniela Avetisyan, Adlin Dancheva

Proceedings Volume 13083, 130831F (2024) https://doi.org/10.1117/12.3023038

KEYWORDS: Analytical research, Data modeling, Spectral models, Satellites, Unmanned aerial vehicles, Spectroscopy, Optical spheres, Information security, Databases, Climatology

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Proceedings Article | 14 June 2024 Poster

Remote sensing monitoring of wet snow and snow avalanche in Longyearbyen, Arctic

Temenuzhka Spasova

Proceedings Volume 13083, 130831G (2024) https://doi.org/10.1117/12.3023041

KEYWORDS: Remote sensing, Environmental monitoring, Synthetic aperture radar, Radiometric corrections, Ice, Tunable filters, Speckle, Radiometric calibration, Image processing, Image filtering

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Proceedings Article | 28 May 2024 Poster + Paper

Postfire forest disturbances and initial regrowth using direction angle

Nataliya Stankova, Temenuzhka Spasova

Proceedings Volume 13083, 130831H (2024) https://doi.org/10.1117/12.3023275

KEYWORDS: Forest fires, Vegetation, Raster graphics, Satellites, Satellite imaging, Earth observing sensors, Multispectral imaging, Aerospace engineering, Roads, Ecosystems

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Wildfires considerably disturb the structure and forest ecosystem functioning. The disturbances estimation as well as the extent of damage to the soil and vegetation soon after the fire is crucial information for planning of restoration efforts. Because of the financial resources needed for field work and the involvement of experts, remote aerospace methods and data are extensively employed in monitoring ecological research. The aim of this paper is to assess postfire forest disturbances and initial regrowth processes using the tasseled cap derived Direction Angle (DA). DA is an index introduced by the authors in previous research – the angle between the Greenness component from the TCT (tasseled cap transformation) and VIC (Vector of Instantaneous Condition). The proposed method is based on linear orthogonal transformation of multispectral satellite images and is characterized with higher accuracy compared to standard methodologies using vegetation indices. The higher accuracy of the methodology is based on the linear orthogonal transformation of multispectral satellite images (TCT), which increases the degree of identification of the three main components changing during fire – soil, vegetation, and moisture/water. The methodology proposed in this paper is characterized by high accuracy in assessing the recovery of undergrowth, that is difficult to differentiate using standard monitoring methodologies based on vegetation indices. The DA raster images show the direction of change of the green tasseled cap component (TCG) relative to the VIC, which allows to estimate the degree of recovery of the vegetation component for different moments of the study period. The variations observed in DA values illustrate the pattern of the green component at various points during the investigation period, enabling the assessment of disturbances and the monitoring of regrowth processes. The test area is located in the Middle Rhodopes, near the village of Hvoyna (Smolyan region), Bulgaria, where on 28/08/2023 a wildfire broke out. 1,500 decares have been burnt by the fire, including deciduous and coniferous forest. The wildfire affected 100-130 years old black pine (Pinus nigra) forests.

Proceedings Article | 28 May 2024 Poster + Paper

Application of Sentinel-2 MSI optical data for snow cover monitoring in the Vitosha mountain region of Bulgaria

Andrey Stoyanov, Temenuzhka Spasova

Proceedings Volume 13083, 130831I (2024) https://doi.org/10.1117/12.3023511

KEYWORDS: Snow cover, Environmental monitoring, RGB color model, Vegetation, Satellites, Short wave infrared radiation, Optical sensing, Near infrared, Shadows, Clouds

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Proceedings Article | 28 May 2024 Poster + Paper

Assessment of heat islands and renewable energy sources in the north-east planning region of Bulgaria by remote sensing

Temenuzhka Spasova, Iva Ivanova, Daniela Avetisyan, Adlin Dancheva

Proceedings Volume 13083, 1308314 (2024) https://doi.org/10.1117/12.3012240

KEYWORDS: Vegetation, Renewable energy, Satellites, Satellite imaging, Solar energy, Reflectivity, Landsat, Earth observing sensors, Wind energy, Environmental monitoring

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Surface and ground air temperatures are one of the variables that best distinguish and characterize the specific climate in urbanized spaces. Over the years, research has shown that urbanized spaces have experienced persistently higher temperatures, which is defined as the urban heat island effect (Urban Heat Island-UHI). Wind turbines and solar panels are two of the main types of renewable energy sources used in Bulgaria. The presence of too many different facilities related to renewable energy sources often has an impact, but sometimes this impact can be negative for specific territories even if they are not highly urbanized, such as the selected territory in Western Pontic steppes, North-Еast Planning Region (BG33). The study covers examples from the planning region defined in the Law on Regional Development of the Republic of Bulgaria under Art. 11, which will support the Integrated Territorial Strategy for the Development of NUTS 2 planning district. These are territories whose selection is determined by the fact that they have extremely high economic and ecological importance for monitoring the normal course of natural processes, disasters and consequences of sudden changes. The aim of the research is to create a methodology for monitoring through a complex approach, to be used by experts and non-experts, in order to make decisions for the management of the territories occupied with renewable energy sources. Different indicators and indices from the optical range, such as Normalized Differential Greenness Index (NDGI), Tasseled Cap Transformation (TCT), Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST), were used for the different groups of objects. The spectral reflectance characteristics of natural and anthropogenic objects have been used to classify temperatures. Open data, data from the National Spatial Data Portal (Inspire). Orthophoto and aircraft images from 100 years ago were used for the needs of the methodology.

Proceedings Article | 22 November 2023 Paper

Assessment of heat islands in different economic regions of Bulgaria for the needs of digital twins

Temenuzhka Spasova

Proceedings Volume 12735, 127350O (2023) https://doi.org/10.1117/12.2680333

KEYWORDS: Satellites, Analytical research, Microwave radiation, Data modeling, Unmanned aerial vehicles, Spectroscopy, Spectral models, Satellite imaging, Remote sensing, LIDAR

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Digital Twins will unlock the potential of digital modelling of the Earth systems at a level that represents a real breakthrough in terms of accuracy, local detail, access-to-information speed and interactivity. The initial focus will be on the effects of climate change and extreme weather events, their socio-economic impact and possible adaptation and mitigation strategies. Surface and ground air temperatures are one of the variables that best distinguish and characterize the specific climate in urbanized spaces. Over the years, research has shown that urbanized spaces have experienced persistently higher temperatures, which is defined as the urban heat island effect (Urban Heat Island-UHI). The study covers examples from the six planning regions defined in the Law on Regional Development of the Republic of Bulgaria under Art. 11, which will support the Integrated Territorial Strategy for the Development of NUTS 2 planning district. These are territories whose selection is determined by the fact that they have extremely high economic and ecological importance for monitoring the normal course of natural processes, disasters and consequences of sudden changes. Different indicators and indices such as TCT (Tasseled cap transformation), NDVI (Normalized Difference Vegetation Index), NDGI (Normalized Differential Greenness Index), LST (The Land Surface Temperature) and etc., were used for the different groups of objects from the Sentinel and Landsat 9 (OLI / TIRS) satellites. The spectral reflectance characteristics of natural and anthropogenic objects have been used to classify them in optical or microwave images. Image classification methods based on the spectral characteristics of key spectral indicators and indices were previously used. Each of the metrics was further classified to provide detailed analysis for the period 2018 to 2023 and comparison with current drone footage and thermal camera with a measurement accuracy of +/- 2°C and a wavelength of 8 μm to 14 μm. The research used data from the Open Data Portal and the National Spatial Data Portal (Inspire) of Bulgaria.

Proceedings Article | 19 October 2023 Poster + Paper

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

Temenuzhka Spasova, Adlin Dancheva, Daniela Avetisyan, Iva Ivanova, Iliyan Popov, Boris Shirov

Proceedings Volume 12733, 1273311 (2023) https://doi.org/10.1117/12.2680495

KEYWORDS: Vegetation, Satellites, Renewable energy, Color, Thermal imaging cameras, Solar radiation, Temperature metrology, Synthetic aperture radar, Solar energy, Spectroscopy

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Proceedings Article | 17 October 2023 Poster + Paper

Polar digital space in Antarctica

Temenuzhka Spasova

Proceedings Volume 12728, 127280P (2023) https://doi.org/10.1117/12.2680618

KEYWORDS: Ice, Synthetic aperture radar, Reflectivity, Satellites, Vegetation, Data modeling, Soil moisture, Color, Glaciers, Temperature metrology

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Through the creation of a polar digital space and the data architecture in it, an attempt will be made to get as close as possible to the real possibilities of building a Digital Twin in the Antarctic or the polar region, and also to propose the European data policy in the Antarctic and the Arctic. The polar digital space www.destination-earth-antarctica.eu even local to Livingston Island will help to tackle complex environmental challenges by observe and simulate the development of the earth system (land, sea, atmosphere, biosphere) and human intervention; forecasting of environmental and extreme disasters and resulting crises, enable the development and testing of scenarios for increasingly sustainable development. These are great initiatives, but they need to accumulate data. Livingstone Island during the Antarctic summer has an extreme increase in human presence, but this is not necessarily a negative impact. Rather, it is necessary to track exchange and summarize data on any type of event in a timely manner. A differentiated monitoring approach has been used and hybrid monitoring models have already been created1. The data sources and instruments at many of the Antarctic bases are not interoperable, and this creates a major problem for comparison and simulation modeling even on a single island, let alone a larger area or the Antarctic mainland. In most of the polar summer, the optical data is not of good quality due to the presence of frequent cloud cover. This necessitates the mandatory use of in situ data in order to verify the others. The purpose of this type of research is to enforce certain standards for data dissemination such as Open Data, Open Science, and also to show the dynamics of certain territories on Livingstone Island based on research from the summer of 2022-2023 through various methods, indеxes Modified Soil-Adjusted Vegetation Index (MSAVI2), Normalized Differential Glacier Index (NDGI), Normalized Difference Water Index (NDWI), NDSI (Normalized Difference Snow Index), NDSII (Normalized Difference Snow and Ice Index, Moisture Stress Index (MSI). and SAR indexes. The data used are from a drone, in situ data from a SEKONIC spectrometer, data from a ground local weather station, GPS coordinates and satellite data A ground weather station AWG, powered by an environmentally friendly magnesium-air battery, was developed especially for a project of the Bulgarian Antarctic Base. The data and models will serve the Bulgarian initiative for the construction of the Digital Twins in Antarctica and Arctica or Digital polar space, which is being pilot developed in the department of Aerospace Information, Space Research and Technology Institute – Bulgarian Academy of Sciences.

Proceedings Article | 21 September 2023 Open Access

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

Temenuzhka Spasova, Daniela Avetisyan

Proceedings Volume 12786, 127861X (2023) https://doi.org/10.1117/12.2682162

KEYWORDS: Vegetation, Satellites, Ice, Synthetic aperture radar, Remote sensing, Spectroscopy, Environmental monitoring, Color, Reflectivity, Batteries

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Proceedings Article | 21 September 2023 Open Access

Using Sentinel-2 data for efficient monitoring and modeling of wetland protected areas

Iva Ivanova, Temenuzhka Spasova, Nataliya Stankova

Proceedings Volume 12786, 127861U (2023) https://doi.org/10.1117/12.2681790

KEYWORDS: Vegetation, Satellites, Water content, Reflectivity, Near infrared, Satellite imaging, Earth observing sensors, Short wave infrared radiation, Ecosystems, Data modeling

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Wetlands are ecologically vital habitats that play a crucial role in supporting biodiversity and providing essential ecosystem services. They are considered to be among the most productive ecosystems on the planet that provide numerous benefits. For the purposes of this study, Straldzha Complex Protected Area, Bulgaria was chosen as the object of investigation. Straldzha Complex Protected Area includes a reservoir and surrounding wetlands and meadows, the remains of the eastern part of the former Straldzha Plateau (the largest plateau ever in Bulgaria). The wetland is sensitive to human activities, related to the water management and unsustainable use of the former plateau as agricultural land. For the purposes of this study, data from Sentinel-2 satellite of the European Space Agency were used. The monitoring was carried out during the study period 2017 – 2022. An index-based classification was used in the study, utilizing NDVI, NDWI and MSAVI2 indices for classifying the contents within the wetland's boundaries. NDGI model was applied as well, evaluating the vegetation dynamics in the marsh. The obtained results showed successful mapping and monitoring of wetlands. The wetlands are of high importance and should be protected and conserved to maintain the benefits they provide to the environment and society. The data and results of this research will be able to serve Destination Earth (DestinE), which is an ambitious initiative of the European Union to create a digital model of the Earth that will be used for monitoring the effects of natural and human activities on our planet, prediction of extreme events and adapting policies to the climate challenges. The data and models will serve the Bulgarian initiative for the construction of the Digital Twins, which is being pilot developed in the department of Aerospace Information, Space Research and Technology Institute – Bulgarian Academy of Sciences. Open Data were used in this study, with the aim of promoting the Open science policy and FAIR principles as much as possible.

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Proceedings Article | 21 September 2023 Open Access

Spatio-temporal monitoring of air pollution over Bulgaria's largest industrial area using Sentinel-5p TROPOMI data

Maria Dimitrova, Plamen Trenchev, Daniela Avetisyan, Temenuzhka Spasova

Proceedings Volume 12786, 127861P (2023) https://doi.org/10.1117/12.2681792

KEYWORDS: Air contamination, Artificial intelligence, Environmental monitoring, Pollution, Satellites, Methane, Air quality, Sulfur, Mining, MODIS

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Proceedings Article | 21 September 2023 Paper

Creating a digital twin and polar digital space in Antarctica

Temenuzhka Spasova

Proceedings Volume 12786, 1278625 (2023) https://doi.org/10.1117/12.2682918

KEYWORDS: Synthetic aperture radar, Polarization, Satellites, Ice, Temperature metrology, Spectroscopy, Environmental monitoring, Data modeling, Color, Tunable filters

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Through the creation of a polar digital space and the data architecture in it, an attempt will be made to get as close as possible to the real possibilities of building a Digital Twin in the Antarctic or the polar region, and also to propose the European data policy in the Antarctic and the Arctic. The data sources and instruments at many of the Antarctic bases are not interoperable, and this creates a major problem for comparison and simulation modeling even on a single island, let alone a larger area or the Antarctic mainland. In most of the polar summer, the optical data is not of good quality due to the presence of frequent cloud cover. This necessitates the mandatory use of in situ data in order to verify the others. The purpose of this type of research is to enforce certain standards for data dissemination such as Open Data, Open Science, and also to show the dynamics of certain territories on Livingstone Island based on research from the summer of 2022- 2023 through various methods, indices and applications, published on the project page. The complex approach used in the research provides reliable, up-to-date and interoperable information, regardless of the geographical location of the objects and is devoid of subjective interference. The use of data from a drone, ground data from SEKONIC spectrometer, data from NAVAL RSV 421ship2, satellites isn't a new method, but a complex. Using the maximum number of applications and also creating an innovative weather station certainly brings even greater added value to society and science, which seriously investigates climate change in polar latitudes. A ground weather station AWG, powered by an environmentally friendly magnesium-air battery, was developed especially for a project of the Bulgarian Antarctic Base3. The data and models will serve the Bulgarian initiative for the construction of the Digital Twins in Antarctica and Arctica or Digital polar space, initiatives such as Oceans and Seas, which is being pilot developed in the department of Aerospace Information, Space Research and Technology Institute – Bulgarian Academy of Sciences.

Proceedings Article | 21 September 2023 Open Access

Monitoring post-fire forest regrowth using differenced disturbance index classification

Nataliya Stankova, Temenuzhka Spasova, Iva Ivanova

Proceedings Volume 12786, 127861V (2023) https://doi.org/10.1117/12.2681787

KEYWORDS: Forest fires, Landsat, Ecosystems, Vegetation, Satellites, Raster graphics, Satellite imaging, Aerospace engineering, Earth observing sensors, Sensors

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Proceedings Article | 21 September 2023 Open Access

A fast and efficient method for calculation of background methane concentrations using Sentinel-5P satellite data

Plamen Trenchev, Maria Dimitrova, Daniela Avetisyan, Temenuzhka Spasova

Proceedings Volume 12786, 1278624 (2023) https://doi.org/10.1117/12.2681793

KEYWORDS: Methane, Satellites, Climatology, Satellite imaging, Data modeling, Earth observing sensors, Environmental monitoring, Data processing, Carbon monoxide, Spatial resolution

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Proceedings Article | 28 October 2022 Paper

Assessment of monitoring and security on the Black Sea coast by remote sensing and open data

Temenuzhka Spasova

Proceedings Volume 12263, 122630D (2022) https://doi.org/10.1117/12.2636343

KEYWORDS: Polarization, Ocean optics, Water, Satellites, Oceanography, Data modeling, Landsat, Earth observing sensors, Synthetic aperture radar, Reflectivity

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Proceedings Article | 12 September 2021 Poster + Paper

Dynamics and development of Alepu marsh for the period 2013-2020 based on satellite data

Iva Ivanova, Nataliya Stankova, Denitsa Borisova, Temenuzhka Spasova, Adlin Dancheva

Proceedings Volume 11863, 1186315 (2021) https://doi.org/10.1117/12.2597726

KEYWORDS: Vegetation, Satellites, Earth observing sensors, Satellite imaging, Data modeling, Visualization, Landsat, Sensors, Image processing, Composites

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Proceedings Article | 12 September 2021 Poster + Paper

Monitoring of surface water bodies by Sentinel and open data

Temenuzhka Spasova, Adlin Dancheva, Iva Ivanova, Denitsa Borisova, Nataliya Stankova

Proceedings Volume 11863, 118631B (2021) https://doi.org/10.1117/12.2600282

KEYWORDS: Data modeling, Satellites, Synthetic aperture radar, Aerospace engineering, Statistical analysis, Remote sensing, Polarization

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Proceedings Article | 26 August 2020 Paper

Seasonal assessment of the dynamics of sea ice based on aerospace data on Livingston Island, New Shetland Islands in Antarctica and Longyearbyen in the Arctic

Теmenuzhka Spasova, Roumen Nedkov, Adlin Dancheva, Andrey Stoyanov, Iva Ivanova, Nikolay Georgiev

Proceedings Volume 11524, 115240J (2020) https://doi.org/10.1117/12.2570829

KEYWORDS: Synthetic aperture radar, Aerospace engineering, Ocean optics, RGB color model, Composites, Polarization, Climatology, Climate change, Remote sensing, Image processing

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Proceedings Article | 21 October 2019 Paper

Using optical and radar images to study the thermal pollution from the waste disposal site around Vidin area

Adlin Dancheva, Roumen Nedkov, Denitsa Borisova, Temenuzhka Spasova, Nikolay Georgiev

Proceedings Volume 11149, 1114928 (2019) https://doi.org/10.1117/12.2538116

KEYWORDS: Earth observing sensors, Landsat, Radar, Synthetic aperture radar, Pollution, Satellites, Polarization, Thermography, Clouds, Composites

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Proceedings Article | 27 June 2019 Paper

Assessment of wet snow dynamics on the territory of Urupema, Brazil based on SAR and optical satellite data

Temenuzhka Spasova, Roumen Nedkov

Proceedings Volume 11174, 1117414 (2019) https://doi.org/10.1117/12.2533684

KEYWORDS: Synthetic aperture radar, Satellites, Composites, Polarization, Snow cover, Data modeling, Climatology, Reflectivity, Databases, Clouds

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Proceedings Article | 27 June 2019 Paper

Evaluation of temperature changes in waste disposal sites according to satellite data

Adlin Dancheva, Temenuzhka Spasova, Denitsa Borisova

Proceedings Volume 11174, 111741Q (2019) https://doi.org/10.1117/12.2533609

KEYWORDS: Earth observing sensors, Landsat, Temperature metrology, Satellites, Multispectral imaging, Sensors, Satellite imaging, Spatial analysis, Aerospace engineering, Solar radiation

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Proceedings Article | 27 June 2019 Paper

On the use of SAR and optical data in assessment of flooded areas

Temenuzhka Spasova, Roumen Nedkov

Proceedings Volume 11174, 111740V (2019) https://doi.org/10.1117/12.2533660

KEYWORDS: Floods, Synthetic aperture radar, Polarization, Satellites, Composites, Image resolution, Radar, Satellite imaging, Reflectivity, Soil science

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