A5084562479- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Integrated Water Resources Management
- Geology and Environmental Impact Studies
- Satellite Image Processing and Photogrammetry
- 3D Modeling in Geospatial Applications
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Banking Systems and Strategies
- Geochemistry and Geologic Mapping
- Impact of Light on Environment and Health
- Geographic Information Systems Studies
- Medical Research and Treatments
- Polish socio-economic development
- Mining and Industrial Processes
- Technology and Data Analysis
- Advanced Measurement and Detection Methods
- Smart Agriculture and AI
- Regional Development and Environment
- Soil Geostatistics and Mapping
- Land Use and Ecosystem Services
- Geological Formations and Processes Exploration
- Management and Organizational Practices
- Food Industry and Aquatic Biology
AGH University of Krakow
2005-2024
Kielce University of Technology
2016-2017
Joint Research Centre
2011
KOMAG Institute of Mining Technology
2005-2006
Abstract. Temporal analyses and multi-temporal 3D reconstruction are fundamental for the preservation maintenance of all forms Cultural Heritage (CH) basis decisions related to interventions promotion. Introducing fourth dimension time into three-dimensional geometric modelling real data allows creation a representation site. In this way, scholars from various disciplines (surveyors, geologists, archaeologists, architects, philologists, etc.) provided with new set tools working methods...
The study presents the analysis of possible use limited number Sentinel-2 and Sentinel-1 to check if crop declarations that EU farmers submit receive subsidies are true. used in research were randomly divided into two independent sets (training test). Based on training set, supervised classification both single images their combinations was performed using random forest algorithm SNAP (ESA) our own Python scripts. A comparative accuracy basis forms confusion matrix (full commonly remote...
Abstract. The article discusses a method for classifying land cover types in rural areas using trained neural network. focus is on distinguishing agriculturally cultivated and differentiating bare soil from quarry areas. This distinction not present publicly available databases like CORINE, UrbanAtlas, EuroSAT, or BigEarthNet. research involves training network multi-temporal patches to classify Sentinel-2 images rapidly. approach allows automated monitoring of areas, determining periods...
Classification of remote sensing images using machine learning models requires a large amount training data. Collecting this data is both labor-intensive and time-consuming. In study, the effectiveness pre-existing reference on land cover gathered as part Land Use–Land Cover Area Frame Survey (LUCAS) database Copernicus program was analyzed. The classification carried out in Google Earth Engine (GEE) Sentinel-2 that were specially prepared to account for phenological development plants....
The article presents partial results of studies within the framework international project "Cultural Heritage Through Time" (CHT2). subject study were forts Krakow Fortress, which had been built by Austrians between 1849-1914 in order to provide defence against Russians. Research works aimed at identifying architectural changes occurring different time periods relation selected objects Fortress. For analysis, following LIDAR (Light Detection and Ranging) data was applied: Digital Terrain...
The specific aim of the European project named "Cultural Heritage Through Time" (CHT2) and reported in this paper is to fully integrate fourth dimension (4D) into Cultural studies for analysing structures landscapes over time. Krakow – Fortress City (Poland) one four case CHT2, which are used time varying reconstruction, analysis, visualization, preservation. goal produce time-varying 3D products, from landscape architectural scales, envisage analyse lost scenarios or visualize changes due...
The goal of the research was to perform tests aimed at assessing possibilities utilising multi-temporal Landsat satellite images for automatic efficient detection changes (e.g. accumulation and erosion) sea coastal zone. database composed images, standardized NDVI vegetation indexes from years 1998 2015, as well vector maps aerial orthophotomaps. result map Change allowed locate areas, in which diametrical land coverage took place. Satellite reflecting condition examined area twenty enabled...
The aim of the paper is analysis new free satellite images mining area. Test study located in south-east Poland near Tarnobrzeg city, where past sulphur was intensively mined on large Sulfur developed open-pit mine Machów and by using drilling technology Jeziórko. During activities, soils area were polluted sulfur. Moreover, it has changed water conditions due to continuous drainage around mine. As a result reclamation plant succession can be observed. Since 2006 when stopped, groundwater...
The paper presents a spatial and temporal analysis of the distribution soil salinity its pH level south-east Poland depending on selected environmental factors. area under examination (Carpathian Foredeep, Carpathians flysch) is distinguished by specific hydrological geological conditions (the Vistula San valley). research works were performed in relation to parameters that had been measured in-situ 1995, 2000, 2005, 2010. Using specialist GIS software, proper interpolation procedures...
The understanding of the spatial and temporal dynamics farmland processes is essential to ensure proper crop monitoring early decision making needed support efficient resource management in agriculture. By creating appropriate strategies, one can increase harvest efficiency while reducing costs, waste, chemical spraying, inhibiting impact biotic abiotic factors on stress. Only reliable information makes it possible comprehend influence various environment. main objective research presented...
Abstract. Benchmark datasets is an significant aspect in many areas such as computer vision, deep learning, geospatial data they serve standardized test sets for evaluating the performance of models. Among techniques image processing, there super-resolution (SR) which aimed at reconstructing a low-resolution (LR) into high-resolution (HR) image. For training and validation SR models dataset pairs HR LR images are needed, should be same apart from resolution. There lot benchmark methods, but...
Abstract The paper presents results of the project: Cultural Heritage Through Time (CHT 2, http://cht2-project.eu) realized accomplished within framework “Joint Programming Initiative in Heritage” JPI-CH (http://www.jpi-culturalheritage.eu) by an international consortium: Politecnico di Milano (IT), Newcastle University (UK), Salamanca (ES), and Stanislaw Staszic Scientific Association SSSA (a non-profit organization), (PL). aim project was integration 3D models buildings, cities landscapes...
Abstract. GIS databases are widely available on the Internet, but mainly for visualization with limited functionality; very simple queries possible i.e. attribute query, coordinate readout, line and area measurements or pathfinder. A little more complex analysis (i.e. buffering intersection) rare offered. Paper aims at concept of Geoportal functionality development in field analysis. Multi-Criteria Evaluation (MCE) is planned to be implemented web application. OGC Service used data...
The aim of the paper is to discuss idea marking agricultural parcels in control direct payments agriculture. method using remote sensing monitor crops and mark them according “traffic lights” introduced. Classification into a given color gives clear information about status parcel. image classification was done on Sentinel-1 Sentinel-2 datasets by calculating NDVI SIGMA time series season from autumn 2016 2017. Two approaches are presented: semi-automated automated classifications....