Ms. Adlin Dancheva Profile

Adlin Dancheva

at Space Research and Technology Institute

SPIE Involvement:

Author

Publications (10)

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 | 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 | 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 | 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 | 20 September 2020 Presentation + Paper

Differential estimation of temperature changes in landfills through the use of satellite data

Adlin Dancheva

Proceedings Volume 11534, 115340J (2020) https://doi.org/10.1117/12.2574057

KEYWORDS: Satellites, Temperature metrology, Data analysis, Earth observing sensors, Pollution, Multispectral imaging, Landsat, Floods, Water contamination, Radar

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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

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 | 10 October 2018 Presentation + Paper

Application of remote sensing data for a wetland ecosystem services assessment in the area of Negovan village

Kameliya Radeva, Roumen Nedkov, Adlin Dancheva

Proceedings Volume 10783, 107830Y (2018) https://doi.org/10.1117/12.2325767

KEYWORDS: Ecosystems, Vegetation, Remote sensing, Satellites, Earth observing sensors, Satellite imaging, Composites, Geographic information systems, Multispectral imaging, Environmental monitoring

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Nowadays, the ecosystem service framework can be accepted for designing and completion of different management strategies to preserve and restore ecosystems. The present study will contribute to increase the stakeholders’ interest to wetlands condition and possibilities for better management aiming at improving the ecosystems services they provide. For the research of the wetland in the area of quarry lakes in Negovan village interim ecological monitoring (IEM) using remote sensing data after restoration measures have been implemented. The aim of IEM is to obtain results for the wetland actual condition and restoration process efficiency for ecosystems services assessment. Based on the generated data an interim ecological monitoring methodology (MIEM) implying different remote sensing data (different temporal intervals, spectral and spatial resolution) has been designed. The model functions entirely within Geographical Information System (GIS). It generates data for the actual environmental condition of the wetland in different temporal intervals. The obtained results for the wetland actual condition have been used for defining the values of Disturbance Index (DI), which in turn is defined based on orthogonalization of multispectral satellite data from Sentinel 2 - Multi Spectral Instrument (MSI) and Landsat for different temporal intervals. DI rates are determined through Wetness component and Greenness component. Ecosystem services are assigned based on the correlation between vegetation and water surface area that is connected to water balance/budget. The space distribution of vegetation is specified on the base of Normalized Differential Vegetation Index (NDVI), Normalized Differential Greenness Index (NDGI) for different temporal intervals of the research. This paper presents results for evaluation the potential for delivery of ecosystem services taking into consideration the environmental and ecological processes behind the services that have been assessed at a relevant scale generated.

Showing 5 of 10 publications

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