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Year: 2026Subject: Photogrammetry and Remote Sensingclear all
Showing 1-20 of 20 records
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SWS 2026 Conference Preprints
Publication

A MULTI-CRITERI METHODOLOGY FOR OPTIMAL CORNER REFLECTOR DEPLOYMENT USING INSAR COHERENCE, LAND USE, AND TERRAIN SLOPE: A CASE STUDUY OF THE PAUTE INTEGRAL HYDROPOWER COMPLEX (ECUADOR)

(STEF92 Technology, 2026, Diego Capa, Daniel Garces Leon, Astrid Ramirez Lopez, Jessica Robles Jimenez, Kenny Escobar Segovia)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

APPLICATION OF CLOSE-RANGE DIGITAL PHOTOGRAMMETRY IN SOLAR PARK DESIGN

(STEF92 Technology, 2026, Yana Stamenova)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

ASSESSING THE RELATIONSHIP BETWEEN ENVIRONMENTAL DEGRADATION AND ECONOMIC DEVELOPMENT IN UKRAINIAN TERRITORIAL COMMUNITIES USING SATELLITE DATA

(STEF92 Technology, 2026, Lesya Yelistratova, Anna Khyzhniak, Alexander Apostolov, Artur Khodorovskyi, Grygorii Pidgrushnyi)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

DETECTING URBAN GROUND INSTABILITY USING RECURRENT UAV LIDAR SURVEYS: CAPABILITIES AND LIMITATIONS FROM A SALT-KARST MONITORING SITE IN ROMANIA

(STEF92 Technology, 2026, Eduard Nastase, Alexandru Tiganescu, Dragos Tataru)

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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 (...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

DINSAR-BASED ANALYSIS OF SURFACE DEFORMATIONS AT THE PAUTE INTEGRAL HYDROELECTRIC COMPLEX

(STEF92 Technology, 2026, Diego Capa-Sarango, Daniela Paz-Barzola, Maurizio Mulas, Jessica Robles, Kenny Escobar-Segovia)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

ESTIMATION OF BIOMASS USING GEDI LIDAR DATA, HARMONIZED LANDSAT SENTINEL-2 (HLS) IMAGERY, AND GRADIENT BOOSTING MACHINE LEARNING

(STEF92 Technology, 2026, Zhiyong Hu)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

EVALUATION OF THE APPLICATION OF REMOTE SENSING DATA IN SPATIAL DEVELOPMENT PLANNING IN LATVIA

(STEF92 Technology, 2026, Vivita Pukite, Dace Sture, Vita Celmina, Anete Klabere-Kalvane)

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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 ...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

HYDROTHERMAL ALTERATION MAPPING USING REMOTE SENSING AND GIS IN STRZELIN MASSIF, SW POLAND - PRELIMINARY RESULTS

(STEF92 Technology, 2026, Laura Jurgala, Zbigniew Jan Ziarek)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

LITHOFACIES MAPPING OF THE SHINE JINST AREA, BAYAN-KHONGOR PROVINCE OF MONGOLIA USING REMOTE SENSING DATA

(STEF92 Technology, 2026, Undariya Jalbaa, Narantuya Purevjav, Mend Nergui, Chinbat Khishgee)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

MOISTURE RISK MAPPING: MACHINE LEARNING APPROACHES USING UAV MULTISPECTRAL IMAGERY FOR CULTURAL HERITAGE MONITORING

(STEF92 Technology, 2026, Ivan Ivanov, Silviya Filipova, Stefan Vlaykov)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

MONITORING CROP PHENOLOGY USING HIGH-RESOLUTION SATELLITE IMAGERY: SOFIA REGION, BULGARIA

(STEF92 Technology, 2026, Yana Lipiyska, Tsvetelina Atanasova-Evdenova, Adrian Yordanov)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

MT-INSAR ANALYSIS OF DEFORMATION IN THE AREA OF THE VISHEGRAD FORTRESS (EASTERN RHODOPES, BULGARIA)

(STEF92 Technology, 2026, Mila Atanasova-Zlatareva)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

MULTI-SOURCE DATA INTEGRATION OF UAS AND TERRESTRIAL CLOSE-RANGE PHOTOGRAMMETRY FOR COMPREHENSIVE 3D RECONSTRUCTION OF THE "ST. JOHN LETNI" CHAPEL

(STEF92 Technology, 2026, Tsvetelina Atanasova-Evdenova, Nikolay Angelov, Yana Lipiyska)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

MULTI-SOURCE GEOMATIC DATA FUSION FOR WETLAND MONITORING: A CASE STUDY OF THE MARAMURES MOUNTAINS NATURAL PARK

(STEF92 Technology, 2026, Adrian Traian Radulescu, Gheorghe Radulescu, Sanda Marioara Nas, Dorel Gusat, Corina Michaela Radulescu)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

RESTORATION POTENTIAL OF AGRICULTURAL UNUSED LAND FOR REINTRODUCTION INTO AGRICULTURAL USE

(STEF92 Technology, 2026, Jakub Pagac, Zlatica Muchova, Alexandra Pagac Mokra)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

SPATIO-TEMPORAL ANALYSIS OF LAKE WATER QUALITY PARAMETERS USING SENTINEL-2 IMAGERY

(STEF92 Technology, 2026, Andreea Florina STOLERIU, Iuliana Gabriela BREABAN, Alexandra Petronela STOLERIU)

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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 ...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

SPECTRAL LITHOLOGICAL MAPPING USING PCA AND ICA METHODS: A CASE STUDY FROM SOUTHERN TUNCELI (EASTERN TURKEY)

(STEF92 Technology, 2026, MELEK URAL, SEDAT INAL, Mustafa EGRI, Mehmet ALTUNBEY)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

TIME-SERIES SENTINEL-1 SAR AND GIS ANALYSIS OF SNOWMELT AND GLACIER DYNAMICS ON LIVINGSTON ISLAND, ANTARCTICA

(STEF92 Technology, 2026, Nadia Yanakieva, Sergi Gonzalez Herrero, Andrey Stoyanov, Elitza Uzunova, Ivan Stoev)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

UAV LIDAR APPLICATION FOR ESTIMATING POSSIBILITY FOR ELECTRICAL POWERLINE DAMAGE, DUE TO POTENTIAL TREEFALL

(STEF92 Technology, 2026, Stefan Vlaykov, Dobromir Filipov, Ivan Ivanov)

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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...

Photogrammetry and Remote Sensing2026
SWS 2026 Conference Preprints
Publication

WATER SURFACE MAPPING USING SENTINEL-1 AND SENTINEL-2 IMAGERY: A COMPARATIVE STUDY OF INDEX AND MACHINE LEARNING APPROACHES

(STEF92 Technology, 2026, Adrian Yordanov)

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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...

Photogrammetry and Remote Sensing2026
Showing 1-20 of 20 records
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