SATMIROL project aims to solve the problems faced by agricultural statistics and recipients of agricultural statistics by: development of methods based on satellite data from the European COPERNICUS program for: the identification and monitoring

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

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.

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”

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

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