Gromny E., Lewiński S., Rybicki M., Malinowski R., Krupiński M., and Nowakowski A. (2019), Post-processing tools for land cover classification of Sentinel-2, Proc. SPIE

Post-processing is the last and often optional stage of land cover (LC) classification from satellite images. In the traditional approach, it is usually applied to remove the effect of “salt and pepper” from the

Krupiński M., Lewiński S., Malinowski R. (2019), One class SVM for building detection on Sentinel-2 images, Proc. SPIE

Human population has reached 7.7 billion in year 2019. According to the forecasts of world population projections it may reach 8 billion in 2023. This growth indicates inter alia increased demand for housing. Monitoring

Derek M., Woźniak E., Kulczyk S. (2019), Clustering nature-based tourists by activity. Social, economic and spatial dimensions, Tourism Management

This study develops a typology of tourists visiting a nature-based destination as a function of outdoor activities. It then identifies social, economic and spatial differences between them. A cluster analysis is applied to survey

Kotarba A. Z., Chacewicz S., Żmudzka E. (2019), Night sky photometry over Warsaw (Poland) evaluated simultaneously with surface-based and satellite-based cloud observations, Journal of Quantitative Spectroscopy & Radiative Transfer

Light pollution is a widely distributed form of anthropogenic pollution that threatens both biodiversity and human health. One of the most popular indicators is known as night sky brightness (NSB), mea- sured with photometric

MaiL

MaiL – Identifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO2 sequestration strategy. The global climate change is a worldwide problem where its mitigation is one of the 17th Sustainable

ACCESS-4FI

ACCESS-4FI – Automated Crop Classification and yield Estimation online ServiceS for Food Industry. This project addresses the challenge of quantification and annual monitoring of the agricultural production, as seen from the perspective of different

BAMS-Mazovia

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

Jenerowicz M., Banaszkiewicz M. (2018), Asteroid (21) Lutetia: Semi-Automatic Impact Craters Detection and Classification. Int. Arch. Photogramm. Remote Sens., doi:10.5194/isprs-archives-XLII-2-479-2018

The need to develop an automated method, independent of lighting and surface conditions, for the identification and measurement of impact craters, as well as the creation of a reliable and efficient tool, has become

Woźniak E., Kofman W., Lewiński S., Wajer P., Rybicki M., Aleksandrowicz S., Włodarkiewicz A. (2018), Multi-temporal polarimetry in land-cover classification. International Journal of Remote Sensing, doi:10.1080/01431161.2018.1483084

This study uses time-series Sentinel-1(S-1) synthetic aperture radar images to evaluate the impact of multi-temporal polarimetric processing on land-cover classification. Various polarimetric processing methods are applied to multi-temporal S-1 data set in order to

Kotarba A.Z., Nowakowski A. (2018), Impact of snow cover on impervious surface detection. International Journal of Remote Sensing, doi:10.1080/01431161.2018.1475775

Traditionally, snow cover has been seen as an obstacle to landcover classification and impervious surface detection based on remote sensing. However, snow cover increases the spectral contrast between impermeable surfaces and other land-use types.