Emiliya Velizarova

Swiss Federal Institute for Forest, Snow and Landscape Research

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Roumen Nedkov

Space Research and Technology Institute

Daniela Avetisyan

Space Research and Technology Institute

Ibrahim Molla

Forest Research Institute

I. Raev

Bulgarian Academy of Sciences

Alexandra B. Ribeiro

Universidade Nova de Lisboa

Kameliya Radeva

Space Research and Technology Institute

I. Marinov

University of Architecture, Civil Engineering and Geodesy

A. Alexandrov

Istituto Nazionale di Fisica Nucleare, Sezione di Napoli

Maria Glushkova

Bulgarian Academy of Sciences

V. Doichinova

Forest Research Institute

Cooperative Institutions

Bulgarian Academy of Sciences

Forest Research Institute

Sofia University "St. Kliment Ohridski"

Forest Research

Space Research and Technology Institute

Forest Research Institute

University of Forestry

Institute of Information and Communication Technologies

Institute of Soil Science “Nikola Poushkarov”

Agricultural Academy

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Heavy metals contamination of soils under oak ecosystems in the Sofia region

Environmental Chemistry Letters (2006)

V. Doichinova Mária Sokolovská Emiliya Velizarova

Urban ecosystem

10.1007/s10311-006-0041-6

Cite

Citations (6)

Application of remote sensing data for forest fires severity assessment

Roumen Nedkov Ibrahim Molla Emiliya Velizarova Kameliya Radeva

Forest fires continue to burn large territories, both within and outside Europe. It is suitably to assess fire-induced changes in the vegetation, which in turn affects infiltration, runoff, and erosion potential. Therefore it is important to identify potential areas of concern and prioritize field reconnaissance. The development of a burn severity map will facilitate quantifying of the post-fire assessment phase. In this study the potential of Normalized Burn Index (NBR), Normalized Difference Vegetation Index (NDVI) and normalized difference greenness indices (NDGI) derived from remote sensing methods (satellite data from different sensors Sentinel and Landsat) and Geographical Information System (GIS) have been analyzed for forest fire severity assessment. For more accurate assessment of the fire severity, a hybrid model was developed, using satellite data from different sensors - Sentinel and Landsat. For this purpose, the area, affected by fires occurred in august 2017 on the northwest slopes of the Ajtovska Mountain (East part of the Stara planina mountain) in the Eastern part of Bulgaria was studied. The forest fire events were spread on the area of (508.5 ha) and the affected vegetation was composed by deciduous forests (309.4ha), coniferous (62.4ha), mixed forests (61.4 ha) and grass and shrubs (75.3ha). Through the model developed, results applicable to the actual forest ecosystem conditions for different time intervals have been obtained. These results provide quantitative information about fire severity for distinct forest types, thus allowing for designing relevant fire severity maps.

10.1117/12.2325742

Cite

Citations (6)

Changes in some chemical indexes of technogenic affected forest soils.

Emiliya Velizarova K. N. Jorova-Dimitrova N. Pipkov P. Zhelev I. Draganova

Source

Cite

Citations (0)

Mechanism of aluminum substances leaching from chernozems and gray forest soil caused by simulated acid rains.

Emiliya Velizarova G. Tsanikov H. Bojinov B. Bogdanov

Gray (unit)

Source

Cite

Citations (0)

Some approaches for determination of sensibility of pseudopodzolic (gray forest) soil, smolnitza and leached chernozem to acid rain.

Emiliya Velizarova G. Tsanikov H. Bojinov B. Bogdanov

Chernozem

Acid rain

Gray (unit)

Source

Cite

Citations (0)

Investigation of post-fire natural regeneration in forest plantations of Pinus sylvestris and Larix decidua on the Northern slopes of Rila mountain

DOAJ (DOAJ: Directory of Open Access Journals) (2016)

Ibrahim Molla Emiliya Velizarova

Natural regeneration

Decidua

Pine forest

Prescribed burn

Natural forest

Source

Cite

Citations (0)

Identification and assessment of pine forest areas affected by snowfalls through satellite data

Roumen Nedkov Emiliya Velizarova Nikolai Georgiev

The pine biome is of great importance for the Mediterranean flora, because it forms natural forest stands from low altitudes up to the timberline in the Mediterranean Basin, which are capable of exhibiting large ecological adaptation toward climatic amplitudes. For Bulgaria, the significance of the pine forests is related to their role in reduction of soil erosion, through slowing the water runoff and thus helping to provide a year-round supply of water in the ecosystems. Such plantations become vulnerable to damages from natural and anthropogenic origins, such as wind-throws, snow breakages, wet snowfalls, fires. We have tested different sensors and platforms for relevant data collection in order to allow for an improved identification and understanding of the changes occurring in forest cover, forest structure, and disturbance regimes in mountain forests affected by snowfalls. For the purpose of the study, radar and optical satellite images from the sensors Sentinel 1, Sentinel 2 (ESA), Landsat 8 and MODIS (NASA) were used. Composite raster images from the Sentinel 2, Landsat 8 and MODIS sensors were obtained. Two types of polarization were used in order to recognize areas covered by wet snow. Thematic maps for qualitative and quantitative assessment of the consequences of snowfalls and snow breakages have been generated. Based on the satellite, GPS and terrain data, the areas of severe damages in forests have been successfully identified and assessed.

Pinus brutia

10.1117/12.2533711

Cite

Citations (0)

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

Forest fires are among the most dangerous natural threats that cause significant changes in forest ecosystems. For the better management of the wildfire-prone territories, the fire weather components like temperature, precipitation and evapotranspiration predictions and monitoring within the extreme fire seasons are of great importance. Remote sensing has been identified as an effective tool for better understanding how forest ecosystems respond to these components. Respective spectral indices, like Normalized difference greenness indices (NDGI), Normalized Difference Vegetation Index (NDVI), Improved Modified Chlorophyll Adsorption Ratio Index (MCARI2) and Moisture Stress Index (MSI), derived from remote sensing methods (satellite data from different sensors - Landsat and Sentinel) as well as the Geographical Information System (GIS) were applied for the monitoring of the climatic parameters in forest fire vulnerable regions in Bulgaria. The climatic parameters dataset from 2008 consisting of the ten-day period mean temperature and precipitation data were collected. The NDVI trends for the studied periods exhibited significant correlations with the mean precipitation and weak or no correlation with the temperature recorded. These results are largely linked to the relative air humidity. Different vegetation types were found to show distinct spatial responses to climatic changes.

10.1117/12.2533656

Cite

Citations (3)

Effect of different extracting solutions on the electrodialytic remediation of CCA-treated wood waste Part I.

Journal of Hazardous Materials (2004)

Emiliya Velizarova Alexandra B. Ribeiro Eduardo P. Mateus Lisbeth M. Ottosen

Oxalic Acid

Chromated copper arsenate

10.1016/j.jhazmat.2003.09.011

Cite

Citations (23)

Informatics Approaches for Forest Fire Spread Prediction

Studies in computational intelligence (2021)

Emiliya Velizarova A. Alexandrov

10.1007/978-3-030-72284-5_22

Cite

Citations (0)