The main goal of the BAMS-Mazovia (Build-up Areas Monitoring Service for Mazovia) project is to develop a service platform that would provide reliable information on changes occuring within built-up areas. The service will be

Analysis of the surface of the solar system bodies with the use of mathematical morphology techniques

Task: Remote Sensing Analysis of Landforms in Isidis Planitia, Mars In 2018, the project’s goal and scope were determined, namely: to develop a semi-automatic algorithm to analyse characteristic landforms in Isidis Planitia on Mars.

Evaluation of the usefulness of multifractal formalism in the processing and analysis of optical remote sensing images

The rapid development of the satellite systems and airborne measurements generates significant increase of the amount of collected observational data about our planet. This forces the improvement of existing and the development of new


At the beginning of February 2016 our group has started a new ESA project in the framework of Scientific Exploitation of Operational Missions (SEOM) S2-4Sci Land and Water. S2GLC  is an international project implemented


ArtISS (Artificial Impervious Surfaces detection with Snow-featured satellite imagery) was a study to improve detection of artificial impervious surfaces using satellite images acquired during winter or night. Artificial impervious surfaces are the example of


The goal of this project is to improve the dwellings detection methodology and to develop an operational stand-alone application in order to provide reliable and consistent results, independent of the imaging sensors type and


In recent years, the frequency of large-scale forest fires has increased significantly owing to a number of factors including the effects of climate change, urbanisation, poor landscape management and malevolent acts. These so-called “Mega-fires”

Earth Observation for Gas and Oil: On-shore

This project is dedicated to support European Space Agency and the Oil and Gas Producers EO(OGP EO) sub-committee establish the key geo-information requirement needs of the onshore oil and gas sector throughout the oil

ESA Sentinel 1: Feasibility study of land cover classification based on SAR Sentinel-1 images

The goal of the project is to perform feasibility study of land cover classification based on SAR Sentinel-1 images. Currently used algorithms dedicated to land cover classification on SAR images does not give the

B-First: Implementation of remote sensing data and models in optimizing the localisation of renewable energy sources on the example of biofuel crops with respect to ecological constraints

The Project financed under ESA PECS contract (Plan for European Cooperating States). The main aim is to use satellite images (optical and radar) to determine the optimal location for energy crops, in terms of