Woźniak E., Aleksandrowicz S. (2019), Self-Adjusting Thresholding for Burnt Area Detection Based on Optical Images, Remote Sensing

Mapping of regional fires would make it possible to analyse their environmental, social and economic impact, as well as to develop better fire management systems. However, automatic mapping of burnt areas has proved to

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.

Kotarba A.Z., Vertical profile of cloud amount over Poland: variability and uncertainty based on CloudSat-CALIPSO observations. International Journal of Climatology, doi:10.1002/joc.5558

Historically, climatologists have found it difficult to access reliable information on cloud vertical structure. This is becaus e both surface-based observers and imaging/sounding satellite sensors have limited capability to report superposed cloud. How-ever, lidar–radar