Martin Iliev

@uni-sofia.bg

Sofia University St. Kliment Ohridski, Faculty of Geology and Geography

Martin Iliev


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https://researchid.co/ilievmartin
16

Scopus Publications

253

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Large-Scale Modeling of Urban Rooftop Solar Energy Potential Using UAS-Based Digital Photogrammetry and GIS Spatial Analysis: A Case Study of Sofia City, Bulgaria
    Stelian Dimitrov, Martin Iliev, Bilyana Borisova, Stefan Petrov, Ivo Ihtimanski, et al.
    Urban Science, 2026
    Urban rooftop photovoltaic systems represent a substantial yet still underutilized renewable energy resource, particularly in high-density residential environments. Accurate large-scale assessment of rooftop solar potential, however, remains challenging due to the complex geometry of urban morphology and the limited availability of high-resolution geospatial data. This study presents a large-scale methodological framework for estimating the theoretical photovoltaic potential of urban rooftop spaces using Unmanned Aerial System (UAS)-based digital photogrammetry and GIS-based spatial analysis. The approach integrates centimeter-resolution Digital Surface Models (DSMs) and orthophotos derived from fixed-wing UAS surveys with detailed rooftop vectorization and solar radiation modeling implemented in a GIS environment. The methodology accounts for rooftop geometry, surface orientation, slope, shading effects, and rooftop-mounted obstacles. The methodology consists of data collection of high-resolution RGB imagery suitable for detailed three-dimensional reconstruction. The images are captured with a UAS equipped with a S.O.D.A. 3D photogrammetric camera, creating a dense, georeferenced three-dimensional point cloud based on UAS imagery. Based on the point cloud, a high-resolution Digital Surface Model (DSM) was produced. Rooftop boundaries and rooftop-mounted structures were digitized on the basis of an orthophoto created from UAS imagery. The analysis workflow consists of solar modeling using ArcGIS Pro, including calculating the solar radiation. The next methodological step is to filter low radiation rooftops, steep slopes, and northern-oriented rooftops. Finally, we calculate the potential electricity production. The framework was applied to high-density residential districts in Sofia, Bulgaria, dominated by prefabricated panel buildings with predominantly flat rooftops. Drone applications in such studies are typically restricted to modeling individual roofs, which severely limits their scalability for district-wide evaluations. To overcome this, the study employs a specialized fixed-wing UAS uniquely certified for legal operations over densely populated urban environments. This platform rapidly maps large territories, ensuring consistent lighting and shading conditions that significantly enhance the accuracy of subsequent rooftop digitization. Furthermore, the resulting centimeter-level precision enables the exact vectorization of micro-rooftop obstacles. Capturing these intricate details is a critical innovation that effectively prevents the overestimation of solar energy potential commonly observed in conventional large-scale models. Solar radiation was modeled at the pixel level for a full annual cycle and filtered using photovoltaic suitability criteria, including minimum annual radiation thresholds, slope, and aspect constraints. Theoretical electricity production was subsequently estimated using zonal statistics and system performance parameters representative of contemporary photovoltaic installations. The results indicate a total theoretical annual electricity potential of approximately 76.7 GWh for the analyzed rooftop spaces, with an average production of about 34 MWh per rooftop and pronounced spatial variability driven by rooftop geometry and exposure conditions. The findings demonstrate the significant renewable energy potential embedded in existing urban rooftop infrastructure and highlight the applicability of UAS-based photogrammetry for high-resolution, large-area solar potential assessments. The proposed framework provides actionable information for urban energy planning, municipal solar cadaster development, and the strategic integration of photovoltaic systems into dense urban environments, particularly in regions lacking open-access high-resolution geospatial datasets.
  • Digital Geospatial Twinning for Revaluation of a Waterfront Urban Park Design (Case Study: Burgas City, Bulgaria)
    Stelian Dimitrov, Bilyana Borisova, Antoaneta Ivanova, Martin Iliev, Lidiya Semerdzhieva, et al.
    Land, 2025
    Digital twins play a crucial role in linking data with practical solutions. They convert raw measurements into actionable insights, enabling spatial planning that addresses environmental challenges and meets the needs of local communities. This paper presents the development of a digital geospatial twin for a residential district in Burgas, the largest port city on Bulgaria’s southern Black Sea coast. The aim is to provide up-to-date geospatial data quickly and efficiently, and to merge available data into a single, accurate model. This model is used to test three scenarios for revitalizing coastal functions and improving a waterfront urban park in collaboration with stakeholders. The methodology combines aerial photogrammetry, ground-based mobile laser scanning (MLS), and airborne laser scanning (ALS), allowing for robust 3D modeling and terrain reconstruction across different land cover conditions. The current topography, areas at risk from geological hazards, and the vegetation structure with detailed attribute data for each tree are analyzed. These data are used to evaluate the strengths and limitations of the site concerning the desired functionality of the waterfront, considering urban priorities, community needs, and the necessity of addressing contemporary climate challenges. The carbon storage potential under various development scenarios is assessed. Through effective visualization and communication with residents and professional stakeholders, collaborative development processes have been facilitated through a series of workshops focused on coastal transformation. The results aim to support the design of climate-neutral urban solutions that mitigate natural risks without compromising the area’s essential functions, such as residential living and recreation.
  • Rapid Mapping: Unmanned Aerial Vehicles and Mobile-Based Remote Sensing for Flash Flood Consequence Monitoring (A Case Study of Tsarevo Municipality, South Bulgarian Black Sea Coast)
    Stelian Dimitrov, Bilyana Borisova, Ivo Ihtimanski, Kalina Radeva, Martin Iliev, et al.
    Urban Science, 2024
    This research seeks to develop and test a rapid mapping approach using unmanned aerial vehicles (UAVs) and terrestrial laser scanning to provide precise, high-resolution spatial data for urban areas right after disasters. This mapping aims to support efforts to protect the population and infrastructure while analyzing the situation in affected areas. It focuses on flood-prone regions lacking modern hydrological data and where regular monitoring is absent. This study was conducted in resort villages and adjacent catchments in Bulgaria’s southern Black Sea coast with leading maritime tourism features, after a flash flood on 5 September 2023 caused human casualties and severe material damage. The resulting field data with a spatial resolution of 3 to 5 cm/px were used to trace the effects of the flood on topographic surface changes and structural disturbances. Flood simulation using UAV data and a digital elevation model was performed. The appropriateness of contemporary land use forms and infrastructure location in catchments is discussed. The role of spatial data in the analysis of genetic factors in risk assessment is commented on. The results confirm the applicability of rapid mapping in informing the activities of responders in a period of increased vulnerability following a flood. The results were used by Bulgaria’s Ministry of Environment and Water to analyze the situation shortly after the disaster.
  • A Methodological Framework for High-Resolution Surface Urban Heat Island Mapping: Integration of UAS Remote Sensing, GIS, and the Local Climate Zoning Concept
    Stelian Dimitrov, Martin Iliev, Bilyana Borisova, Lidiya Semerdzhieva, Stefan Petrov
    Remote Sensing, 2024
    The urban heat island effect (UHI) is among the major challenges of urban climate, which is continuously intensifying its impact on urban life and functioning. Against the backdrop of increasingly prolonged heatwaves observed in recent years, practical questions about adaptation measures in cities are growing—questions that traditional meteorological monitoring can hardly answer adequately. On the other hand, UHI has long been the focus of research interest, but due to the technological complexity of providing accurate spatially referenced data at high spatial resolution and the requirement to survey at strictly defined parts of the day, information provision is becoming a major challenge. This is one of the main reasons why UHI research results are less often used directly in urban spatial planning. However, advances in geospatial technologies, including unmanned aerial systems (UASs), are providing more and more reliable tools that can be applied to achieve better and higher-quality information resources that adequately characterize the UHI phenomenon. This paper presents a developed and tested methodology for the rapid and efficient assessment and mapping of the effects of surface urban heat island (SUHI). It is entirely based on the integrated use of data from unmanned aerial systems (UAS)-based remote sensing methods, including thermal photogrammetry and GIS-based analysis methods. The study follows the understanding that correct SUHI research depends on a proper understanding of the urban geosystem, its spatial and structural heterogeneity, and its functional systems, which in turn can only be achieved by supporting the research process with accurate and reliable information resources. In this regard, the possibilities offered by the proposed methodological scheme for efficient geospatial registration of SUHI variations at the microscale, including the calculation of intra-urban SUHI intensity, are discussed in detail. The methodology builds on classical approaches for using local climate zoning (LCZ), adding capabilities for precise delineation of individual zone types and for geostatistical characterization of the urban surface heat island (SUHI). Finally, the proposed scheme is based on state-of-the-art technological tools that provide flexible and automated capabilities to investigate the phenomenon at microscales, including by enabling flexible observation of its dynamics in terms of heat wave manifestation and evolution. Results are presented from a series of sequential tests conducted on the largest residential area in Bulgaria’s capital city, Sofia, in terms of area and population, over a relatively long period from 2021 to 2024.
  • Geospatial Prioritization of Terrains for “Greening” Urban Infrastructure
    Bilyana Borisova, Lidiya Semerdzhieva, Stelian Dimitrov, Stoyan Valchev, Martin Iliev, et al.
    Land, 2024
    This study aims to scientifically justify the identification of suitable urban properties for urban green infrastructure (UGI) interventions to optimize its natural regulating functions for long-term pollution mitigation and secondary dust reduction. This study adheres to the perception that planning urban transformations to improve ambient air quality (AQ) requires a thorough understanding of urban structural heterogeneity and its interrelationship with the local microclimate. We apply an approach in which UGI and its potential multifunctionality are explored as a structural–functional element of urban local climatic zones. The same (100 × 100 m) spatial framework is used to develop place-based adapted solutions for intervention in UGI. A complex geospatial analysis of Burgas City, the second largest city (by area) in Bulgaria, was conducted by integrating 12 indicators to reveal the spatial disbalance of AQ regulation’ demand and UGI’s potential to supply ecosystem services. A total of 174 municipally owned properties have been identified, of which 79 are of priority importance, including for transport landscaping, inner-quarter spaces, and social infrastructure. Indicators of population density and location of social facilities were applied with the highest weight in the process of prioritizing sites. The study relies on public data and information from the integrated city platform of Burgas, in cooperation with the city’s government. The results have been discussed with stakeholders and implemented by the Municipality of Burgas in immediate greening measures in support of an ongoing program for Burgas Municipality AQ improvement.
  • UAS-Based Thermal Photogrammetry for Microscale Surface Urban Heat Island Intensity Assessment in Support of Sustainable Urban Development (A Case Study of Lyulin Housing Complex, Sofia City, Bulgaria)
    Stelian Dimitrov, Martin Iliev, Bilyana Borisova, Lidiya Semerdzhieva, Stefan Petrov
    Sustainability Switzerland, 2024
    The urban heat island (UHI) and its intensity is one of the phenomena that are of determining importance for the comfort of living in cities and their sustainable development in the face of deepening climate change. The study is objectively difficult due to the large dynamics like land cover and the considerable diversity of land use patterns in urban areas. Most of the frequently used research practice approaches provide information with problematic spatial and temporal resolution, making them difficult to apply for sustainable urban planning purposes. This paper proposes to calculate SUHI intensity as the difference between the temperature of a given point within a city and the average minimum temperature of the land cover class with the lowest surface temperatures within the same urban area. The study presents the results of the application of thermal photogrammetry based on the use of unmanned aerial systems (UAS), combined with geographic information systems (GIS), in the study of surface urban heat island intensity (SUHI), at the local level for the largest housing complex in Bulgaria–Lyulin district of the capital of Sofia city. The studies were carried out during a heat wave in July 2023. A difference of 16.5 °C was found between locations with SUHI occurrence and of the peripheral non-build and natural land cover types within the urbanized area. The information benefits of locally addressed data and their direct applicability are discussed to support decision-making processes in the planning and management of urban areas, including their climate adaptation and sustainable development.
  • Application of Thermal Photogrammetry in Local Climate Zones Definition for Urban Heat Island Effect Assessment and Mapping of the City of Burgas, Bulgaria
    Stelian Dimitrov, Bilyana Borisova, Martin Iliev, Lidiya Semerdzhieva
    Proceedings of SPIE the International Society for Optical Engineering, 2023
    The aim of this study is to present the possibilities of thermal photogrammetry, carried out by an Unmanned Aerial System (UAS) in determining the Local Climate Zones (LCZ) in the city of Burgas, Bulgaria. This LCZ-based methodological approach has been used as one of the major standards in the research practices of mapping and assessment of the effects of the Urban Heat Island phenomenon (UHI). А complex methodological approach specifically designed for the purpose of the study was applied, which includes the use of a flying wing type UAS and a specialized integrated sensor with a thermal calibrated camera and a photogrammetric one, as well as a developed scheme for the collection, processing, and modeling of the data. As a result, the thermal characteristics of the surface of the individual types of LCZ on the territory of the city of Burgas were determined and specified. The latter was used as an information basis for modeling and mapping the effect of the UHI and determining its intensity. The data were collected according to a predetermined sampling scheme within a two-year period (2021-2022) during the hottest months of the year for the city (July and August) by the National University Center for Geospatial Research and Technology. All in-situ studies were carried out after sunset, in the time interval 20:30 - 22:00, in order to eliminate the effect of direct solar radiation on the recorded temperatures of the different land cover types. Subsequently, the collected and processed data were cataloged and integrated into geographic database of the LCZ, and the potential thermal load of each individual LCZ and individual land cover types was estimated. The results have been discussed with the Municipality of Burgas and will be used in the development of a series of urban planning measures focusing on energy efficiency, human health (regulating ecosystem services from green infrastructure) and the conservation of protected areas (falling immediately within the municipality).
  • Integrated application of remote sensing data for mapping the landslide vertical deformations
    Alexander Gikov, Stelian Dimitrov, Martin Iliev, Leonid Todorov, Nadezhda Nikolova
    Proceedings of SPIE the International Society for Optical Engineering, 2023
    The aim of the present study is to present an integrated approach based on the use of both classical remote sensing data and data generated by Unmanned Aerial Systems (UAS) for the purpose of precise mapping and assessment of vertical deformations of large-scale landslides structure (160 ha) located in the Eastern Rhodopes region, Bulgaria. The evaluations and the mapping itself were carried out by means of different types of generated Digital Terrain Models (DTMs), reflecting the dynamics in the development of the structure over a long period of time. The DTMSs were generated on the basis of three groups of methods – vectorized data of large-scale topographic maps from the 1980s, photogrammetric data and data from airborne laser scanning (LIDAR) based on an unmanned aerial vehicle platform. The complex geospatial analysis of the different digital terrain models shows that as a result of the landslide, significant vertical deformations occurred in the study area, with their maximum amplitude ranging from -17,2meters to more than +20 meters. The results of the present study demonstrate the enormous possibilities of modern geoinformation technologies to integrate and analyze various data, approaches and methods, which provides the necessary tools for conducting long-term precise monitoring of territories affected by risk processes, including landslides.
  • Integrated application of UAS based and geoinformation tools for studying urban mobility patterns in urbanized territories: the case of Sofia, Bulgaria
    Martin Iliev, Stelian Dimitrov, Kliment Naydenov, Stephan Petrov, Ivan Ivanov
    Proceedings of SPIE the International Society for Optical Engineering, 2023
    This article aims to present the developed and applied methodology for the study, mapping, and evaluation of urban mobility patterns in the city of Sofia. The research is based on the combination and integration of GIS-based spatial analysis techniques and high-resolution data obtained through sensors based on state-of-the-art Unmanned Aerial Vehicle systems (UAVs). The results obtained from this study are adapted to their use for the purpose of supporting urban planning processes in the city and could greatly assist in the establishment of more adequate models for solving some of the most pressing problems of urban mobility in the urban area of Sofia.
  • Geospatial Localization Analysis of Green Infrastructure Development Assumptions in Urbanized Areas Concerned by Air Quality (The Case of Sofia Municipality, Bulgaria)
    Bilyana Borisova, Stelian Dimitrov, Ivo Ihtimanski, Lidiya Semerdzhieva, Stoyan Valchev, et al.
    Proceedings of SPIE the International Society for Optical Engineering, 2023
    This study presents a methodological approach and the results of a geospatial localization analysis of selected residential areas of the Sofia Municipality, which are highly vulnerable in terms of Ambient air Quality (AQ). The objective is a scientifically sound selection of locations for the construction of additional Green Infrastructure (GI) elements. A targeted selection of 13 indicators was carried out on urban morphology, demography, geo-ecological conditions, and an annual average concentration of pollutants. The output data are organized in a spatial grid (250/250 m). A weighted overlay was performed to identify cells with a high need for the construction of GI as additional measures to regulate microclimatic conditions and the associated AQ. Additional prioritization has been carried out for units with largest number of schools, kindergartens, hospitals. They have been surveyed with unmanned aerial systems (E-BeeX SenseFly). A digital surface model in 3D point cloud and an orthophoto map were generated in Pix4D environment. As a result, 401 specific land properties have been identified for the construction of new GI or upgrading of existing GI elements to increase the potential for effective regulation of the urban microclimate and mitigation of the negative effects of air pollution. The study was conducted in 2022 by the National University Center for Geospatial Research and Technology on behalf of Sofia Municipality. The results will be used for the expansion of parks and gardens, the afforestation of inter-block spaces ("mud patches"), the greening of schoolyards and kindergartens, busy transport arteries, or other innovative green solutions.
  • Application of Remote Sensing Data for Assessment of Bark Beetle Attacks in Pine Plantations in Kirkovo Region, the Eastern Rhodopes
    Margarita Georgieva, Sevdalin Belilov, Stelian Dimitrov, Martin Iliev, Vladislav Trenkin, et al.
    Forests, 2022
  • Remote Sensing Assessment of the Expansion of Ips typographus Attacks in the Chuprene Reserve, Western Balkan Range
    Georgi Georgiev, Margarita Georgieva, Stelian Dimitrov, Martin Iliev, Vladislav Trenkin, et al.
    Forests, 2022
  • An application of the LCZ approach in surface urban heat island mapping in Sofia, Bulgaria
    Stelian Dimitrov, Anton Popov, Martin Iliev
    Atmosphere, 2021
  • Individual tree crown delineation for the species classification and assessment of vital status of forest stands from UAV images
    Anastasiia Safonova, Yousif Hamad, Egor Dmitriev, Georgi Georgiev, Vladislav Trenkin, et al.
    Drones, 2021
  • Mapping and assessment of urban heat island effects in the city of Sofia, Bulgaria through integrated application of remote sensing, unmanned aerial systems (UAS) and GIS
    Stelian Dimitrov, Anton Popov, Martin Iliev
    Proceedings of SPIE the International Society for Optical Engineering, 2020
  • Integrated model of application of remote sensing and field investigations for sanitary status assessment of forest stands in two reserves in West Balkan Range, Bulgaria
    Stelian Dimitrov, Georgi Georgiev, Plamen Mirchev, Margarita Georgieva, Martin Iliev, et al.
    Proceedings of SPIE the International Society for Optical Engineering, 2019

RECENT SCHOLAR PUBLICATIONS

  • Large-Scale Modeling of Urban Rooftop Solar Energy Potential Using UAS-Based Digital Photogrammetry and GIS Spatial Analysis: A Case Study of Sofia City, Bulgaria
    S Dimitrov, M Iliev, B Borisova, S Petrov, I Ihtimanski, L Todorov, I Ivanov, ...
    Urban Science 10 (4), 210 , 2026
    2026
    Citations: 1
  • High-resolution analysis of the Sopot rockslide (Central Bulgaria) using novel airborne LiDAR data.
    I Gerdjikov, S Dimitrov, Z Dotseva, M Iliev, S Petrov
    Review of the Bulgarian Geological Society 86 (3) , 2025
    2025
  • Digital Geospatial Twinning for Revaluation of a Waterfront Urban Park Design (Case Study: Burgas City, Bulgaria)
    S Dimitrov, B Borisova, A Ivanova, M Iliev, L Semerdzhieva, M Ruseva, ...
    Land 14 (8), 1642 , 2025
    2025
    Citations: 1
  • Rapid mapping: Unmanned aerial vehicles and mobile-based remote sensing for flash flood consequence monitoring (A case study of Tsarevo municipality, south Bulgarian Black Sea …
    S Dimitrov, B Borisova, I Ihtimanski, K Radeva, M Iliev, L Semerdzhieva, ...
    Urban Science 8 (4), 255 , 2024
    2024
    Citations: 4
  • A methodological framework for high-resolution surface urban heat island mapping: Integration of UAS remote sensing, GIS, and the local climate zoning concept
    S Dimitrov, M Iliev, B Borisova, L Semerdzhieva, S Petrov
    Remote Sensing 16 (21), 4007 , 2024
    2024
    Citations: 16
  • Geospatial Prioritization of Terrains for “Greening” Urban Infrastructure
    B Borisova, L Semerdzhieva, S Dimitrov, S Valchev, M Iliev, K Georgiev
    Land 13 (9), 1487 , 2024
    2024
    Citations: 1
  • First records of a new Europe’s southernmost glacier found in Southern Albania
    E Gachev, E Meshini, S Matev, M Iliev, G Gachev, M Gacheva
    Journal of the Bulgarian Geographical Society 50, 75-94 , 2024
    2024
    Citations: 4
  • UAS-based thermal photogrammetry for microscale surface urban heat island intensity assessment in support of sustainable Urban development (A Case Study of Lyulin Housing …
    S Dimitrov, M Iliev, B Borisova, L Semerdzhieva, S Petrov
    Sustainability 16 (5), 1766 , 2024
    2024
    Citations: 10
  • Integrated Application of Geospatial Technologies and UAS-Based Thermal Photogrammetry for Mapping and Assessment of the Surface Urban Heat Island Intensity for Effective …
    SS Dimitrov, MB Iliev, BB Borisova, LN Semerdzhieva, SS Petrov
    Preprints , 2024
    2024
  • FACULTY OF GEOLOGY AND GEOGRAPHY
    MB Iliev
    SOFIA UNIVERSITY" ST. KLIMENT OHRIDSKI , 2024
    2024
  • Geospatial localization analysis of green infrastructure development assumptions in urbanized areas concerned by air quality: the case of Sofia Municipality, Bulgaria
    B Borisova, S Dimitrov, I Ihtimanski, L Semerdzhieva, S Valchev, M Iliev
    Ninth International Conference on Remote Sensing and Geoinformation of the … , 2023
    2023
    Citations: 2
  • Application of thermal photogrammetry in local climate zones definition for urban heat island effect assessment and mapping of the city of Burgas, Bulgaria
    S Dimitrov, B Borisova, M Iliev, L Semerdzhieva
    Ninth International Conference on Remote Sensing and Geoinformation of the … , 2023
    2023
    Citations: 4
  • Integrated application of remote sensing data for mapping the landslide vertical deformations
    A Gikov, S Dimitrov, M Iliev, L Todorov, N Nikolova
    Ninth International Conference on Remote Sensing and Geoinformation of the … , 2023
    2023
  • Integrated application of UAS-based and geoinformation tools for studying urban mobility patterns in urbanized territories: the case of Sofia, Bulgaria
    M Iliev, S Dimitrov, K Naydenov, S Petrov, I Ivanov
    Ninth International Conference on Remote Sensing and Geoinformation of the … , 2023
    2023
  • Mapping and classification of heavy rainfall-induced hazards in the Petrich town area (SW Bulgaria).
    I Gerdjikov, S Dimitrov, Z Dotseva, M Iliev, D Vangelov
    Review of the Bulgarian Geological Society 83 (3) , 2022
    2022
  • Application of remote sensing data for assessment of bark beetle attacks in pine plantations in Kirkovo region, the Eastern Rhodopes
    M Georgieva, S Belilov, S Dimitrov, M Iliev, V Trenkin, P Mirchev, ...
    Forests 13 (4), 620 , 2022
    2022
    Citations: 16
  • Remote Sensing Assessment of the Expansion of Ips typographus Attacks in the Chuprene Reserve, Western Balkan Range
    G Georgiev, M Georgieva, S Dimitrov, M Iliev, V Trenkin, P Mirchev, ...
    Forests 13 (1), 39 , 2022
    2022
    Citations: 13
  • Biotic factors damaging forest stands in Gornata Koria and Chuprene Reserves in Western Balkan Range, Bulgaria
    M Georgieva, G Georgiev, P Mirchev, G Zaemdzhikova, D Doychev, ...
    Silva Balcanica 22 (2), 91-102 , 2021
    2021
    Citations: 6
  • An application of the LCZ approach in surface urban heat island mapping in Sofia, Bulgaria
    S Dimitrov, A Popov, M Iliev
    Atmosphere 12 (11), 1370 , 2021
    2021
    Citations: 51
  • Individual tree crown delineation for the species classification and assessment of vital status of forest stands from UAV images
    A Safonova, Y Hamad, E Dmitriev, G Georgiev, V Trenkin, M Georgieva, ...
    Drones 5 (3), 77 , 2021
    2021
    Citations: 72

MOST CITED SCHOLAR PUBLICATIONS

  • Individual tree crown delineation for the species classification and assessment of vital status of forest stands from UAV images
    A Safonova, Y Hamad, E Dmitriev, G Georgiev, V Trenkin, M Georgieva, ...
    Drones 5 (3), 77 , 2021
    2021
    Citations: 72
  • An application of the LCZ approach in surface urban heat island mapping in Sofia, Bulgaria
    S Dimitrov, A Popov, M Iliev
    Atmosphere 12 (11), 1370 , 2021
    2021
    Citations: 51
  • Mapping and assessment of urban heat island effects in the city of Sofia, Bulgaria through integrated application of remote sensing, unmanned aerial systems (UAS) and GIS
    S Dimitrov, A Popov, M Iliev
    Eighth International Conference on Remote Sensing and Geoinformation of the … , 2020
    2020
    Citations: 18
  • Integrated model of application of remote sensing and field investigations for sanitary status assessment of forest stands in two reserves in West Balkan Range, Bulgaria
    S Dimitrov, G Georgiev, P Mirchev, M Georgieva, M Iliev, D Doychev, ...
    Seventh International Conference on Remote Sensing and Geoinformation of the … , 2019
    2019
    Citations: 17
  • A methodological framework for high-resolution surface urban heat island mapping: Integration of UAS remote sensing, GIS, and the local climate zoning concept
    S Dimitrov, M Iliev, B Borisova, L Semerdzhieva, S Petrov
    Remote Sensing 16 (21), 4007 , 2024
    2024
    Citations: 16
  • Application of remote sensing data for assessment of bark beetle attacks in pine plantations in Kirkovo region, the Eastern Rhodopes
    M Georgieva, S Belilov, S Dimitrov, M Iliev, V Trenkin, P Mirchev, ...
    Forests 13 (4), 620 , 2022
    2022
    Citations: 16
  • Remote Sensing Assessment of the Expansion of Ips typographus Attacks in the Chuprene Reserve, Western Balkan Range
    G Georgiev, M Georgieva, S Dimitrov, M Iliev, V Trenkin, P Mirchev, ...
    Forests 13 (1), 39 , 2022
    2022
    Citations: 13
  • UAS-based thermal photogrammetry for microscale surface urban heat island intensity assessment in support of sustainable Urban development (A Case Study of Lyulin Housing …
    S Dimitrov, M Iliev, B Borisova, L Semerdzhieva, S Petrov
    Sustainability 16 (5), 1766 , 2024
    2024
    Citations: 10
  • Growth Rate and Fecundity of Bleak ( Alburnus Alburnus (L.) in the Sand-Pit Lake Chepintsi (Bulgaria)
    G Raikova-Petrova, M Iliev, I Petrov
    Biotechnology & Biotechnological Equipment 23 (sup1), 212-216 , 2009
    2009
    Citations: 10
  • Numbers and Arrival Dynamics of Communally Roosting Magpies ( Pica Pica ) in the Dendrological Park of the University of Forestry—Sofia, Bulgaria
    K Georgiev, M Iliev
    Biotechnology & Biotechnological Equipment 23 (sup1), 250-253 , 2009
    2009
    Citations: 7
  • Biotic factors damaging forest stands in Gornata Koria and Chuprene Reserves in Western Balkan Range, Bulgaria
    M Georgieva, G Georgiev, P Mirchev, G Zaemdzhikova, D Doychev, ...
    Silva Balcanica 22 (2), 91-102 , 2021
    2021
    Citations: 6
  • Rapid mapping: Unmanned aerial vehicles and mobile-based remote sensing for flash flood consequence monitoring (A case study of Tsarevo municipality, south Bulgarian Black Sea …
    S Dimitrov, B Borisova, I Ihtimanski, K Radeva, M Iliev, L Semerdzhieva, ...
    Urban Science 8 (4), 255 , 2024
    2024
    Citations: 4
  • First records of a new Europe’s southernmost glacier found in Southern Albania
    E Gachev, E Meshini, S Matev, M Iliev, G Gachev, M Gacheva
    Journal of the Bulgarian Geographical Society 50, 75-94 , 2024
    2024
    Citations: 4
  • Application of thermal photogrammetry in local climate zones definition for urban heat island effect assessment and mapping of the city of Burgas, Bulgaria
    S Dimitrov, B Borisova, M Iliev, L Semerdzhieva
    Ninth International Conference on Remote Sensing and Geoinformation of the … , 2023
    2023
    Citations: 4
  • Geospatial localization analysis of green infrastructure development assumptions in urbanized areas concerned by air quality: the case of Sofia Municipality, Bulgaria
    B Borisova, S Dimitrov, I Ihtimanski, L Semerdzhieva, S Valchev, M Iliev
    Ninth International Conference on Remote Sensing and Geoinformation of the … , 2023
    2023
    Citations: 2
  • Large-Scale Modeling of Urban Rooftop Solar Energy Potential Using UAS-Based Digital Photogrammetry and GIS Spatial Analysis: A Case Study of Sofia City, Bulgaria
    S Dimitrov, M Iliev, B Borisova, S Petrov, I Ihtimanski, L Todorov, I Ivanov, ...
    Urban Science 10 (4), 210 , 2026
    2026
    Citations: 1
  • Digital Geospatial Twinning for Revaluation of a Waterfront Urban Park Design (Case Study: Burgas City, Bulgaria)
    S Dimitrov, B Borisova, A Ivanova, M Iliev, L Semerdzhieva, M Ruseva, ...
    Land 14 (8), 1642 , 2025
    2025
    Citations: 1
  • Geospatial Prioritization of Terrains for “Greening” Urban Infrastructure
    B Borisova, L Semerdzhieva, S Dimitrov, S Valchev, M Iliev, K Georgiev
    Land 13 (9), 1487 , 2024
    2024
    Citations: 1
  • High-resolution analysis of the Sopot rockslide (Central Bulgaria) using novel airborne LiDAR data.
    I Gerdjikov, S Dimitrov, Z Dotseva, M Iliev, S Petrov
    Review of the Bulgarian Geological Society 86 (3) , 2025
    2025
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