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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.
EOStat
EOStat – Services for Earth Observation-based statistical information for agriculture The project aims to develop methods for a collection of statistical information about agricultural production and methods for a control of farmers’ activity in
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
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.
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
LiRa-C
Seen from the ground, clouds come in a wide variety of shapes and sizes; faces, animals, plants – the only limit is the observer’s imagination. However, climatologists only distinguish ten generic types, divided into
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