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The application of C-band InSAR techniques over densely vegetated areas faces critical limitations due to rapid temporal decorrelation, which requires the deployment of corner reflectors (CR) to ensure stable control points. In this context, traditional site selection criteria are often empirical and tend to overlook the spatiotemporal variability of interferometric coherence. In this study, a multicriteria methodology based on a spatial decision-making framework is proposed to optimize the selection of corner ref...

In recent years, the growing demand for renewable energy sources has placed high demands on the accuracy and reliability of the input data in the design of solar parks. The aim of the study is to present an integrated methodology combining the use of close-range digital photogrammetry to create a digital model and analysis of solar radiation according to the energy potential of the terrain. The main emphasis is on the application of a double-overflight method with an unmanned aerial system at different flight alti...

The article presents the probability of degradation processes using remote sensing data on the example of the Kryvyi Rih Ukrainian test polygon, a territory with high anthropogenic impact. The probable changes in the state of the natural environment caused by degradation processes are analyzed across 17 amalgamated territorial communities within the Ukrainian test polygon. The territorial communities were ranked according to the values of the land degradation index used in the EWALD project based on the standard d...

Urban areas developed above salt-karst systems are particularly sensitive to ground deformation processes driven by dissolution, suffosion, and anthropogenic disturbances. Detecting and monitoring these processes in densely built environments requires observation techniques capable of capturing small-scale morphological changes with high spatial resolution and repeatability. This study demonstrates the use of recurrent UAV-based LiDAR surveys to detect and measure ground instability in the town of Slanic Prahova (...

This research presents a comprehensive assessment of surface deformation at the Paute Integral Hydroelectric Complex, one of Ecuador's most critical energy infrastructures. Given the complex Andean topography and the strategic importance of this asset, monitoring ground stability is essential for operational safety and structural integrity. This study utilized Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques, employing a decadal Sentinel-1 dataset from 2014 to 2024. The methodology integra...

Accurate estimation of vegetation biomass, particularly aboveground biomass (AGB), is critical for understanding carbon cycling, climate change mitigation, and ecosystem dynamics. Forests alone store a large proportion of terrestrial carbon, making biomass estimation central to initiatives such as REDD+ and global carbon accounting. Traditional field-based (destructive) methods, while accurate, are labor-intensive, costly, and impractical at large spatial scales. Remote sensing technologies have emerged as essenti...

The study is devoted to evaluating the application of remote sensing data (satellite images, orthophotos, etc.) in spatial development planning. The amount of data available today provides extensive opportunities for territory analysis, but in practice their use is often limited. The work analyses how such data can improve land use monitoring, understanding of urbanization processes and decision-making at various planning levels. The main problems are related to the different quality of data, spatial and temporal ...

The investigated area comprises Strzelin massif, located in the SW Poland. Strzelin massif is built mainly by granitoids and metamorphic rocks. The chemical-, mineral- and textural composition of the Strzelin granite were altered by hydrothermal fluids that migrated along fissures, caverns, microfractures, cleavage planes and grain interstices. The alterations manifest themselves mainly as bleached zones filled by hydrothermal minerals in the following order: quartz, feldspars, muscovite, chlorite, clinozoisite, p...

The study area is located at the Gobi Desert of southern Mongolia, near the town of Byankhongor. During the work stage, aerial photo image interpretation was undertaken to identify and delineate lithological boundaries, geological contacts, and fault and fold features, lineaments. Aerial photo, Aster, and Landsat TM have been used for the geological interpretation of the Shine Jinst area, Mongolia. Nineteen stratigraphic units were distinguished and correlated to delineate the stratigraphic subdivisions. A study o...

This study investigated a nondestructive, remote-sensing-based testing method for detecting harmful wetness in immovable cultural heritage structures using unmanned aerial vehicle multispectral imagery combined with machine learning algorithms. The multispectral data were captured over a historic building with DJI Mavic 3M UAV, and supervised machine learning classifiers were applied to identify moisture-risk areas across the building’s facades. The spectral range of the employed multispectral sensor did not all...

Accurate monitoring of crop phenology is essential for yield estimation, growing season modeling, and climate adaptation in agriculture. While freely available satellite archives provide broad spatial coverage, their temporal frequency is often insufficient for capturing the rapid phenological transitions characteristic of crops. This study addresses that gap through a multitemporal analysis of the Normalized Difference Vegetation Index (NDVI) derived from a time series of 119 PlanetScope satellite images at 3 m s...

This study assesses surface deformation in the Vyshegrad Fortress area using Synthetic Aperture Radar (SAR) data. The site, located near the Studen Kladenets dam, is affected by complex geomorphological and environmental conditions that may compromise structural stability. Steep slopes prone to erosion and landslides, increased moisture, rock fracturing, and regional seismic activity pose significant risks to the integrity of the stone architectural complex. Their evaluation is essential for effective preservation...

This study presents the application of integrated UAS and terrestrial close-range photogrammetry for the comprehensive 3D reconstruction of the cultural heritage site “St. John Letni” chapel, located near Pchelina Reservoir, Bulgaria. The main objective of the research is to produce detailed and accurate documentation of the chapel in its current condition, supporting its long-term preservation and potential restoration. The data acquisition combines aerial imagery from an unmanned aerial system (UAS) and terr...

This research addresses the design, integration, and validation of a complex methodology for wetland monitoring, using as case studies two peat bogs located in the Maramures Mountains Natural Park, Romania. The study is part of a larger research effort concerning the assessment of the current ecological status of internationally important wetlands in the trans-Carpathian region of Romania, Ukraine, and Slovakia, through the development of an integrated monitoring system based on advanced geomatic technologies. Thi...

The research analyses agricultural unused land (AUL) identified within the cadastral territory of Velke Trencianske Stankovce (western Slovakia) with the objective of evaluating restoration potential and determining suitable management pathways for reintroduction into agricultural use. The methodological framework combines Sentinel-2 vegetation indices, LPIS data, soil characteristics, and site-specific attributes including terrain configuration, parcel accessibility, and environmental constraints. Restoration pot...

Lake water quality is an important sign of ecosystem health, biodiversity, and sustainable management of freshwater resources. As human activities, climate change, and eutrophication increase, the need for efficient and consistent monitoring methods grows. Traditional field sampling provides accurate local data but is limited by how often and where samples are collected, as well as by high costs. Satellite remote sensing is a practical way to monitor inland water bodies, enabling repeated, large-scale assessments ...

In this study, using ASTER surface reflectance and emissivity data to map four main lithological units (volcanic, magmatic, clastic, metamorphic) in southern Tunceli (Ayazpinari-Cukurca) using PCA and ICA transformations, and the results were validated against a reference map. The highest success among different band combinations was achieved in the SWIR region alone for the PCA transformation, and across the entire range (VNIR-SWIR-TIR, 0.52–11.65 µm) for the ICA transformation. Although SWIR-based PCA success...

Rapid warming along the Antarctic Peninsula has intensified surface melting on maritime glaciers, accelerating ablation and contributing to increasingly negative surface mass balances, particularly on Livingston Island, South Shetlands Islands, Antarctica. Continuous, weather-independent monitoring of snow and ice conditions is therefore essential for assessing seasonal variability and its implications for glacier evolution. A multi-temporal dataset of Sentinel-1 Synthetic Aperture Radar (SAR) imagery acquired bet...

The government electrical company – ESO manages and monitors 16 000 km powerlines in Bulgaria. In this paper the main focus is on monitoring forestry corridors, which are used to provide free of encroachment space for safe electrical power transmission. Those open spaces ensure that no tree or such can be near the conductor enough to cause induction of energy between a tree and a conductor, which is the main reason for wild fires and electrical power shortages. This paper presents a methodology for systematic mo...

This study compares multiple approaches for surface water mapping using multi-sensor satellite data. Open-access imagery from Sentinel-2 (optical) and Sentinel-1 (SAR) was used for three study sites in Bulgaria. The optical dataset consisted of three Level-2A images acquired under near cloud-free conditions, while the radar dataset included three Ground Range Detected images acquired on dates closest to the optical imagery. Surface water extraction was performed using single- and multi-index approaches for the opt...

The article presents the results of using multi-zone space survey materials from different spacecraft to distinguish different types of land cover and establish their boundaries and changes in their sizes over time. Space images from Sentinel, Landsat, Proba V, and TERRA/MODIS devices were used, which differ in spatial resolution, rotation frequency, and orbital period. Changes in the sizes of the established types of land cover over time are an indicator that allows assessing the nature and intensity of the impac...

The results of comprehensive ground-space monitoring of geodynamic processes in the area of the former Mirgalimsay deposit (Kentau, Kazakhstan) are presented. The objective of the study is to develop a monitoring and early warning system for hazardous surface deformations under conditions of mine flooding and changes in the hydrogeological regime. Monitoring was carried out using static GNSS measurements (41 benchmarks) and multi-temporal interferometric analysis of archival Sentinel-1 radar images using Persisten...

The paper presents the research methodology of an interdisciplinary project dedicated to the study of the land-sea interaction along the southern part of the Western Black Sea coast. The research area covers the Medni Rid part of the Strandzha coast, which provides favorable conditions for coastal navigation and port activities since ancient times. The project aims to establish the real factors and the regular features in the behavior of local communities in the context of land-sea interaction in the Western Black...

The accurate assessment of a ship-s dynamic behavior is essential for understanding its stability characteristics, particularly in response to free oscillations such as roll decay. This study presents the development and application of a compact, cost-effective inertial measurement system based on the Bosch BMX160 IMU sensor, integrated with a Raspberry Pi 4 single-board computer, for measuring ship model free oscillations both in water and in a controlled air environment. The system enables remote data acquisitio...

The scientific research presented in the article is related to the application of methodologies for monitoring deformations of the Earth's crust. Intensively developing technologies were used, such as GNSS and SAR methods. The Sofia region is among the earthquake zones in Bulgaria. The general conclusion is, that Sofia located in an area characterized by a high seismic risk, with considerable consequences in the case of a strong seismic event. New scientific knowledge about the geodynamics of the region and the ph...

This study examines the morphological characteristics and shoreline dynamics of sandy beaches along the Burgas coast, one of the most diverse and human-impacted regions of the Bulgarian Black Sea. By integrating high-resolution Unmanned Aerial System (UAS) photogrammetry, GIS-based morphometric analysis, and historical shoreline data spanning the 1980s to 2025, the research provides a comprehensive assessment of coastal evolution over the past century. Five representative beaches, Sarafovo, Atanasovska Kosa, Burga...

This study investigates shoreline dynamics and morphodynamic variability along the Kavatsi coastal sector (Southern Bulgarian Black Sea coast) through a multi-temporal analysis spanning the 1980s to 2025. By integrating legacy topographic maps, aerial orthophotos, and recent high-resolution Unmanned Aerial System (UAS) photogrammetry (2020-2025), five representative beach-dune systems were assessed: Kavatsite-North, Kavatsite-South, Smokini-North, Smokini-South, and Camping Veselie Beach. UAS-derived orthophotomos...

The use of remote sensing images in territorial analyses is increasingly used with the development of remote sensing systems. Due to the fact that there are numerous remote sensing systems, both open source and paid, these instruments are widely used in monitoring large areas in order to analyze the dynamics of land use changes. In the present study, an analysis of the ATU Moravita, Timis County, Romania, was carried out based on remote sensing images taken from the Landsat 8 satellite system. Based on the 11 spec...

The submitted paper focuses the issue of using a new technology of Near Infrared Reflectance (NIR) sensors in practice for dosing organic fertilizers based on their composition. The HarvestLab 3000 system was tested in a selected enterprise in terms of its usability in practice. In 2021, an experimental plot was selected in a conventional company situated in the southern part of Czech Republic. The HarvestLab 3000 system with the NIR technology was used for the variable (VR) dosage of digestate as a basic fertiliz...

Accurate 3D data from indoor environments play a crucial role in construction, indoor navigation, real estate management, and many more applications. Mobile scanning systems, including simultaneous localization and mapping (SLAM) and mobile devices equipped with LIDAR (Light Detection And Ranging) and modern techniques like Matterport, provide efficient means to create virtual models of measured objects (and even generate point clouds). However, it is essential to note that the quality of these methods often needs...

The coastal beach-dune systems along the Bulgarian coast are of significant ecological import, necessitating rigorous monitoring and management. Oversight and dune management inaccuracies have been recurrently identified, particularly within the Bulgarian Black Sea coast cadastral registers. This research highlights discrepancies in depositional areas, such as Asparuhovo-Varna, Byala, Burgas-South, and Poda beach-dune systems. The coastal dunes within these regions have been systematically documented through detai...

Land cover degradation poses global challenges, both economically and scientifically, with significant implications for Ukraine's sustainable development. Understanding the need for effective strategies to prevent soil degradation, address degraded lands, and reduce associated risks is crucial at both global and regional scales. Early identification and degradation monitoring require establishing natural predictors (drivers) to preserve ecosystems and biodiversity for future sustainable development. An objective a...

This review article provides an overview of the combination of remote sensing with deep learning techniques in the last ten years. It specifically examines the emerging patterns and applications in both fields, highlighting their combined use in processing remote sensing data. It focuses on how these techniques have brought about significant changes in environmental monitoring, urban planning, agricultural management, security, and change detection. The article discusses various satellite probes, detailing their s...

This study presents an review of the geophysical and geological data available for the Bulgarian Black Sea shelf, highlighting the methodologies employed for data storage and their effectiveness. Such data are crucial for understanding the shelf's historical dynamics and ongoing changes, serving as a foundation for various scientific investigations. Through an analysis of geological, morphological, geophysical, and geochronological data, we trace the evolution of the shelf's structure and movements, delineating it...

The relevance of the research lies in the fact that the well-being of the Ukrainian nation, present and future generations, largely depends on the preservation of existing ecosystems, their support, and the enhancement of their quality and biodiversity. Particular attention should be paid to the problem of land cover degradation. Land cover currently holds a unique status regarding food security and is a dominant source for renewing crucial biospheric functions, ensuring the diversity of living organisms. The anth...

A functioning land management is one of the key attributes of the successful management of a country. The cadastre of the real estate is one of the most important land management systems. However, for the successful management of land, the cadastre needs to be filled with complete and high-quality data. In Slovak Republic, the problem of the quality of cadastral data have been a long-discussed topic. One of the biggest quality issues of the cadastre is its map collection. Some of the maps in the cadastral map coll...

This article is devoted to the analysis of the consequences of military actions using the integration of spectral indices and remote sensing to assess the affected areas. Military conflicts have significant impacts on the natural and human environment, and accurately quantifying the extent of damage is an important task for recovery and humanitarian assistance. This paper examines the role of spectral indices such as the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the No...

In this study the effect of hazardous geodynamic processes in the area around the city of Sofia is investigated using radar satellite data. The area is of particular interest due to its high population density and high concentration of industrial facilities and residential areas. This highlights the importance of the study area in societal aspect. This the reason the authors set the main objective of this research to be the monitoring of the ongoing geodynamic processes by complementary use of synthetic aperture r...

The article considers the intensity of the subsidence process of the given surface of the territory of the Central coal-mining district of Donbas from 2015 to 2021, according to radar data from the Sentinel-1 satellite. There are 26 mines on this territory, most liquidated by completely uncontrolled flooding of mining operations without further control of the hydrodynamic regime. This study aims to determine the dangerous zones formed due to soil subsidence to rank the territory, particularly minefields, according...

The escalating intensity of climate change-induced storms necessitates efficient methods for surveying storm-damaged forests. This study conducted in Estonia employed Unmanned Aerial Vehicles (UAVs), equipped with compact cameras, to assess damage over a 16 square kilometer storm-affected area. We created digital surface models (DSMs) and orthophoto mosaics using two types of drones - a fixedwing and a multirotor. While both types had their distinct advantages depending on the terrain, a 70% x 70% overlap of image...

The presented paper deals with the targeted application of pre-emergent herbicides. The field experiment was established in 2022 and 2023; two plots sized 26 ha and 30 ha were selected and the accuracy of the application was tested. There were local outbreaks of weeds on selected plots of land, which had to be eliminated before sowing the main crop - soybeans. Both plots were monitored using an unmanned aerial vehicle (UAV) - Mavic 3M with the multispectral camera. After the end of the monitoring, spectral analysi...

Road managers are obliged by law to regularly monitor the condition of road pavements as part of road inspections. Visual inspections provide basic information on the condition of the road and regular assessments are the basis for planning maintenance and repairs. These inspections are usually carried out from a dedicated car and recorded manually by an operator or done by special sophisticated and very costly devices with cameras and various sensors. Inspections are done in defined periods based on road class and...

It is well known that atmospheric aerosols have both a direct and an indirect impact on the Earth's systems and have natural or anthropogenic origins. In this paper we present the results of the 2022 spring-time lidar measurements conducted within the European Aerosol Research Lidar Network (EARLINET) using a multi-wavelength Raman and depolarization LIDAR system operated in Cluj-Napoca, Romania. The Cluj-Napoca lidar system (CLOP) emission is based on a Nd-YAG laser Continuum INLITE II-30, which has a repetition ...

Wildfires are a problem all over the world. Plant and animal life are under threat of destruction. But this issue is especially relevant for Ukraine, where fires appear en masse throughout the country not only from weather factors but also from enemy shelling by the Russian army. In addition, there is the uncontrolled spread of fire to large areas of Ukraine due to limited access to emergency services. Because of hostilities, landmines, and the occupation of Ukrainian territory, Ukrainian rescuers and foresters ar...

In the era of rapid urbanization which has a great implication in converting the natural landscape into artificial surfaces, Land Surface Temperature (LST) is an important parameter which plays an important role in the studies of urban thermal environment, meteorological, hydrological and climatological applications and Global climate change. Data and images acquired from satellites offer information that can facilitate public and private decision - making. This study investigates the Land Surface Temperature (LST...

Today, point clouds are becoming an increasingly common digital representation of realworld objects. However, the raw point clouds obtained by terrestrial laser scanning (or other methods, e. g., photogrammetry or low-cost sensors) are often noisy with many outliers. Thus, it is necessary to remove the noise and outliers from the point clouds before further processing while preserving the elements of the measured objects in high detail. Moreover, in the case of model creation from point clouds using basic geometri...

BIM (Building Information Modeling) allows the use of a virtual building model throughout the whole life cycle of the building. It is a parametric object-oriented 3D data model of a building, which contains information about structures, elements, and their parameters. The combination of the BIM model with detailed data on the as-built geometry of the building enables an effective geometry check of the structural elements, which leads to in-time intervention in the building process if needed. The requirement of eff...

As a consequence of climate change, in some regions, more intense rain showers go hand in hand with longer dry periods. The subsequent more and more severe droughts can have devastating effects on many economic and social sectors. Therefore, it is necessary to be able to predict and assess the consequences of these droughts on a local scale, in order to develop policies to cope. Drought assessment needs a lot of detailed and accurate input-data, such as land use, land cover, soil moisture, vegetation, evapotranspi...

LiDAR technology expands the possibilities for forest inventory using aerial and terrestrial scanning. A technological scheme for terrestrial personal laser scanning (PLS) has been developed in order to extract numerical tree parameters. The aim of the paper is to determine the characteristics of individual trees and average taxation indicators of forest stands via terrestrial PLS method. The PLS system includes Sensor Ouster OS1-16, mounted on a folding monopod and mini PC for control and recording of primary raw...

Cadastral surveying of land is the determination, establishment, and survey of the legal boundaries of a land unit. Cadastral surveying of land is performed that it is necessary to divide a unit of land, merge land units or rearrange the boundaries, if it is necessary to update the situation or encumbrance plan. In the process of cadastral surveying of land, an area plan is prepared. Sometimes the terrain situation is complicated, and it is difficult for a surveyor to access the object. When the terrain situation ...