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

Derek M., Woźniak E., Kulczyk S. (2017) Tourism in a nature-based destination: the human versus the ecological perspectives, Tourism Geographies, 10.1080/14616688.2017.1314545

In the tourism studies literature, wilderness has been addressed from two perspectives. From the first, human, perspective wilderness is a social, subjective construction that exists only in the mind of its users. From the

Malinowski, R., Groom, G.B., Heckrath, G. (2017) Do Remote Sensing Mapping Practices Adequately Address Localized Flooding? A Critical Overview, et al. Springer Science Reviews, doi: 10.1007/s40362-017-0043-8

Local-scale flooding (LSF) is usually characterized by much less severe damage compared to extreme flood events; however, it does have marked local environmental influence, especially when it is characterized by regular and frequent occurrence

Kotarba A.Z. (2017) Inconsistency of surface-based (SYNOP) and satellite-based (MODIS) cloud amount estimations due to the interpretation of cloud detection results. International Journal of Climatology, 37, 4092-4104, doi:10.1002/joc.5011

Surface-based and satellite-based observations remain the fundamental source of cloud amount data for climatologists. However, both data sets show inconsistency related to the interpretation of instantaneous cloud detection, whether measured using the okta scale