Scientific Field and Research Interests of the Remote Sensing Laboratory

Remote Sensing Lab.

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)


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