Scientific Field and Research Interests of the Remote Sensing Laboratory
This page lists the most important methods and tehniques as well as their applications that fall into the scientific field and the research interests of the Remote Sensing Laboratory, as these are documented in the dissertations, publications and the research projects/programmes of the laboratory.
Methods & techniques:
Atmospheric, Radiometric and Geometric corrections
Multi-modal and Multi-temporal image fusion, integration
Scale space data representation, feature extraction, dimensionality reduction
Spectral, radiometric and temporal properties of objects and surfaces, their physical and chemical properties and their variations
Object detection & pattern recognition in 2D and 3D
Multi-temporal data analysis and monitoring
Data Segmentation and Classification
Object-based data analysis
Quantitative and qualitative evaluation
Terrain analysis, scene modeling, model-based analysis
Image-based geospatial databases, spatio-temporal database update, web-based services and remote sensing applications
SAR Interferometry
Computing, Algorithms development, Optimization, Real-time & parallel processing
Data Acquisition, Sensors (Multispectral, Hyperspectral, Thermal, Radar, LIDAR, Proximate, etc) and Platforms (Spaceborne, Airborne, UAVs)
Applications:
Forestry, vegetation, biodiversity studies
Agriculture and precision agriculture
Hydrology, oceanography, coastal zone management
Atmospheric and weather studies
Geology and geomorphology studies
Monitoring and management of land and water resources
Land use, human impact and ecosystem analyses
Disaster monitoring, mitigation and damage assessment
Hazardous waste and environmental pollution assessment
Infrastructure, transportation and communications studies
Earth Observation activities to support sustainable and integrated development
GIS, web-based applications, geospatial database update
Open-source and open-data services