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

Kulczyk S., Woźniak, E., Derek, M. (2018) Landscape, facilities and visitors: An integrated model of recreational ecosystem services, Ecosystem Services, doi: 10.1016/j.ecoser.2018.02.016

Recreation is a complex and important ecosystem service. Therefore, there is a need for approaches that can account for this complexity, and integrate both environmental and socio-economical perspectives. The Recreational Ecosystem Services (RES) model

Woźniak E., Kulczyk S., Derek M. (2018) From intrinsic to service potential: An approach to assess tourism landscape potential, Landscape and Urban Planning, 170, 209-220, doi: 10.1016/j.landurbplan.2017.10.006

Tourism contributes to human well-being and is recognized as a cultural ecosystem service. However, assessments of landscape potential for tourism tend to be very general. Therefore, this study proposes a method that takes into

Wajer P., Woźniak E., Kofman W., Rybicki M., Lewiński S. (2018) Simulation of SAR images of urban areas by using the ray tracing method with measured values of backscatter coefficients, International Journal of Remote Sensing, 39:9, 2671-2689, doi: 10.1080/01431161.2018.1430396

This study uses the ray tracing method to simulate synthetic aperture radar (SAR) images of urban areas. The images are constructed for polarisations: horizontal-horizontal (HH) and vertical-vertical (VV), and different types of buildings, vegetation,

Kukawska E. et al. (2017) Multitemporal Sentinel-2 data – remarks and observations. 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), Brugge, 2017, pp. 1-4, doi: 10.1109/Multi-Temp.2017.8035212

All the pre-processing algorithms are being improved constantly. The biggest challenge for the multitemporal analysis is to deal with errors caused directly by the chain of pre-processing of raw Sentinel-2 data to the level

Lewiński S., Nowakowski A., Malinowski R., Rybicki M., Kukawska E., Krupiński M. (2017) Aggregation of Sentinel-2 time series classifications as a solution for multitemporal analysis. In Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104270B doi: 10.1117/12.2277976

The general aim of this work was to elaborate efficient and reliable aggregation method that could be used for creating a land cover map at a global scale from multitemporal satellite imagery. The study

Angelidis I., Levin G., Díaz-Varela R. A., & Malinowski R. (2017) Assessment of changes in formations of non-forest woody vegetation in southern Denmark based on airborne LiDAR. Environmental Monitoring and Assessment, 189(9), 437, doi: 10.1007/s10661-017-6119-8

LiDAR (Light Detection and Ranging) is a remote sensing technology that uses light in the form of pulses to measure the range between a sensor and the Earth’s surface. Recent increase in availability of