A5081973292- Remote Sensing in Agriculture
- Botany and Plant Ecology Studies
- Species Distribution and Climate Change
- Integrated Water Resources Management
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Remote Sensing and Land Use
- Engine and Fuel Emissions
- Geology and Environmental Impact Studies
- Diverse Scientific Research in Ukraine
- Wildlife Ecology and Conservation
- Hydrology and Drought Analysis
- Polish Historical and Cultural Studies
- 3D Modeling in Geospatial Applications
- Plant Ecology and Soil Science
- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Precipitation Measurement and Analysis
- Urban Heat Island Mitigation
- Renewable energy and sustainable power systems
- Geochemistry and Geologic Mapping
- Climate variability and models
- Polish socio-economic development
University of Warsaw
2013-2024
Institute of Geodesy and Cartography
2015
Expansive species classification with remote sensing techniques offers great support for botanical field works aimed at detection of their distribution within areas conservation value and assessment the threat caused to natural habitats. Large number spectral bands high spatial resolution allows identification particular species. LiDAR (Light Detection Ranging) data provide information about such as vegetation structure. Because differ in terms features during growing season, it is important...
Accurately identifying Natura 2000 habitat areas with the support of remote sensing techniques is becoming increasingly feasible. Various data types and methods are used for this purpose, fusion from various sensors temporal periods (terms) within phenological cycle allows natural habitats to be precisely identified. This research was aimed at selecting optimal datasets classify three grassland (codes 6210, 6410 6510) in Ostoja Nidziańska site Poland based on hyperspectral imagery botanical...
The electromagnetic spectrum registered via satellite remote sensing methods became a popular data source that can enrich traditional of vegetation monitoring. European Space Agency Sentinel-2 mission, thanks to its spatial (10–20 m) and spectral resolution (12 bands in visible-, near-, mid-infrared spectrum) primarily short revisit time (5 days), helps provide reliable accurate material for the identification mountain vegetation. Using support vector machines (SVM) algorithm reference...
The characterization of vegetation is a very important ecological task, especially in sensitive mountain areas, as alpine regions often respond to small short-term variations abiotic and biotic components well long-term global changes. Spatial techniques, such imaging spectroscopy, allow for detailed classification different syntaxonomic categories their status. Based on the Airborne Prism Experiment (APEX) simulated Environmental Mapping Analysis Program (EnMAP) data, this study focused...
Mapping plant communities is a difficult and time consuming endeavor. Methods relying on field surveys deliver high quality data but are usually limited to relatively small areas. In this paper we apply airborne hyperspectral vegetation mapping in remote hard reach We classified 22 the Giant Mountains 3.12-m Airborne Prism Experiment (APEX) images, registered 288 spectral bands (10 September 2012). As classification algorithm, Support Vector Machines (SVM) was used. APEX were corrected...
Habitat mapping is essential for the management and monitoring of Natura 2000 sites. Time-consuming field surveys are still most frequently used solution implementation European Habitats Directive, but use remote sensing tools this becoming more common. The high temporal resolution Sentinel-2 data, registering visible, near, shortwave infrared ranges electromagnetic spectrum, makes them valuable material in context. In study, we aimed to multitemporal data three grassland habitats Poland. We...
This study focuses on the assessment of drought severity, employing a comparative analysis between normalized multi-band index (NMDI; calculated using Sentinel-2 imagery) and combined indicator (CDI). The research aims to pinpoint most accurate reliable remote sensing techniques, which reflect ground-based measurements, thereby enhancing precision monitoring systems. By investigating specific area Małopolska, not only contributes global knowledge base methodologies but also addresses...
Abstract Information about vegetation condition is needed for the effective management of natural resources and estimation effectiveness nature conservation. The aim study was to analyse non-forest mountain communities: synanthropic communities grasslands. UNESCO’s M&B Karkonosze Transboundary Biosphere Reserve selected as research area. analysis based on 40 field test polygons APEX hyperspectral images. measurements allowed collection biophysical parameters - Leaf Area Index (LAI),...
Abstract This research aims to discover the potential of hyperspectral remote sensing data for mapping mountain vegetation ecosystems. First, importance ecosystems global system should be stressed due mountainous forming a very sensitive indicator climate change. Furthermore, variety biotic and abiotic factors influence spatial distribution in mountains, producing diverse mosaic leading high biodiversity. The area covers Szrenica Mount region on border between Poland Czech Republic - most...
Abstract Effective assessment of environmental changes requires an update vegetation maps as it is indicator both local and global development. It therefore important to formulate methods which would ensure constant monitoring. can be achieved with the use satellite data makes analysis hard-to-reach areas such alpine ecosystems easier. Every year, more new available. Its spatial, spectral, time, radiometric resolution improving well. Despite significant achievements in terms methodology...
Abstract. Time series (TS) analysis has always been an important topic in Remote Sensing (RS). Open access to archives of Earth Observation missions, periodically acquired nation-wide aerial imagery and LiDAR point clouds, various research datasets, together with open tools for TS data processing, have brought new possibilities RS but also challenges education. The become essential part MSc curricula geoinformatics, geography, related fields. learning materials systematically addressing the...
One of the ideas behind vegetation monitoring is ability to identify different units, such as species, communities, habitats, or types. Remote sensing data allow for obtaining information remotely, which especially valuable in areas that are difficult explore (such mountains wetlands). At same time, techniques limiting field research, particularly important this context. has been utilized inventories many decades, using airborne and spaceborne platforms. Developing newer tools, algorithms...
Abstract The paper deals with the evaluation of mountain meadow vegetation condition using in-situ measurements fraction Accumulated Photosynthetically Active Radiation (fAPAR) and Leaf Area Index (LAI). study analyses relationship between these parameters spectral properties selected invasive species goal finding out indices for detection fAPAR LAI. developed were applied on hyperspectral data from an APEX (Airborne Prism Experiment) sensor in area interest Krkonoše National Park. results...
This article focuses on utilization of vegetation indices for phenology analysis based multitemporal MERIS data. The model data set contained imagery acquired during the season year 2009 and it covered most area Czech Republic. Databases LPIS GlobCover were used spatial delimitation observed types. Firstly, a methodology processing atmospheric geometric corrections is presented. main part deals with evaluation spectral characteristic forest species agricultural crops by means indices....
Abstract This study aims to identify areas that present similar spectral characteristics collected rock samples through the use of satellite imagery and analysis. The results indicate pixels marked in images exhibit similarities samples. Misclassified objects or may be included due mixed spatial resolution limitations. identified could result from region’s mineral composition building materials, bare land, dry vegetation. averaged curve patterns show similarity overall, but they are not...