Dr. Kameliya Radeva Profile

Dr. Kameliya Radeva

Assisstant at Space Research and Technology Institute

SPIE Involvement:

Author

Publications (12)

Proceedings Article | 17 October 2023 Presentation + Paper

Remote sensing data upon application of methodology for defining the adjoining lands and flooding river stripes in Bulgaria

Kameliya Radeva, Silvia Kirilova

Proceedings Volume 12727, 1272706 (2023) https://doi.org/10.1117/12.2680119

KEYWORDS: Vegetation, Remote sensing, Satellites, Data modeling, Land cover, Satellite imaging, Rain, Floods, Geographic information systems, Earth observing sensors

Read Abstract +

Proceedings Article | 17 October 2023 Presentation + Paper

Application of remote sensing for monitoring restoration measures in habitats under Natura 2000: a case study for Bulgaria

Kameliya Radeva, Silvia Kirilova

Proceedings Volume 12727, 127271C (2023) https://doi.org/10.1117/12.2678225

KEYWORDS: Vegetation, Remote sensing, Geographic information systems, Satellites, Databases, Satellite imaging, Airborne remote sensing, Sensors, Sustainability, Ecosystems

Read Abstract +

Proceedings Article | 21 September 2023 Paper

Application of remote sensing to provide support for GHG emissions and removals inventory from LULUCF: a case study in Bulgaria

Kameliya Radeva, Lachezar Filchev, Peter Dimitrov, Silvia Kirilova

Proceedings Volume 12786, 127861H (2023) https://doi.org/10.1117/12.2681265

KEYWORDS: Land cover, Remote sensing, Landsat, Satellites, Agriculture, Near infrared, Climate change, Vegetation, Forestry

Read Abstract +

Proceedings Article | 26 August 2020 Paper

Optical and SAR data for application of Interim Ecological Monitoring (IEM) on Studena Dam, Bulgaria

Kameliya Radeva, Roumen Nedkov, Silvia Kirilova, Nikolay Georgiev

Proceedings Volume 11524, 115240G (2020) https://doi.org/10.1117/12.2570774

KEYWORDS: Multispectral imaging, Water, Remote sensing, Satellites, Synthetic aperture radar, Orthophoto maps, Vegetation, Satellite imaging, Earth observing sensors, Data acquisition

Read Abstract +

Proceedings Article | 21 October 2019 Paper

Climate change influence on Vegetation Indices (VIs) dynamics upon application of interim ecological monitoring (IEM) based on remote sensing data

Kameliya Radeva, Roumen Nedkov, Emiliya Velizarova, Iliyana Gigova

Proceedings Volume 11149, 111492A (2019) https://doi.org/10.1117/12.2538121

KEYWORDS: Ecosystems, Vegetation, Climate change, Climatology, Remote sensing, Satellites, Composites, Sensors, Environmental monitoring, Environmental sensing

Read Abstract +

Proceedings Article | 27 June 2019 Paper

Post-fire forest disturbance monitoring using remote sensing data and spectral indices

Emiliya Velizarova, Kameliya Radeva, Andrey Stoyanov, Nikolai Georgiev, Iliyana Gigova

Proceedings Volume 11174, 111741G (2019) https://doi.org/10.1117/12.2533709

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

Read Abstract +

Proceedings Article | 27 June 2019 Paper

Application of remote sensing techniques for monitoring of the climatic parameters in forest fire vulnerable regions in Bulgaria

Emiliya Velizarova, Roumen Nedkov, Daniela Avetisyan, Kameliya Radeva, Andrey Stoyanov, Nikolai Georgiev, Iliyana Gigova

Proceedings Volume 11174, 111741E (2019) https://doi.org/10.1117/12.2533656

KEYWORDS: Vegetation, Multispectral imaging, Climatology, Earth observing sensors, Remote sensing, Environmental sensing, Reflectivity, Landsat, Satellites, Ecosystems

Read Abstract +

Proceedings Article | 10 October 2018 Presentation + Paper

Application of SAR and optical data from Sentinel satellites for spatial-temporal analysis of the flood in the region of Bregovo-Bulgaria, 11/03/2018

Andrey Stoyanov, Denitsa Borisova, Kameliya Radeva

Proceedings Volume 10783, 107831K (2018) https://doi.org/10.1117/12.2325773

KEYWORDS: Floods, Synthetic aperture radar, Satellites, Image processing, 3D image processing, Multispectral imaging, Satellite imaging, Earth observing sensors, Radar, Composites

Read Abstract +

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

Read Abstract +

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.

Proceedings Article | 9 October 2018 Paper

Application of remote sensing data for forest fires severity assessment

Roumen Nedkov, Emiliya Velizarova, Ibrahim Molla, Kameliya Radeva

Proceedings Volume 10790, 107901U (2018) https://doi.org/10.1117/12.2325742

KEYWORDS: Vegetation, Earth observing sensors, Landsat, Satellites, Sensors, Remote sensing, Multispectral imaging, Near infrared, Spatial resolution, Data modeling

Read Abstract +