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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
Evaluation of the usefulness of multifractal formalism in the processing and analysis of optical remote sensing images
The rapid development of the satellite systems and airborne measurements generates significant increase of the amount of collected observational data about our planet. This forces the improvement of existing and the development of new
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., Aleksandrowicz S. (2016) Impervious surface detection with nighttime photography from the International Space Station. Remote Sensing of Environment Volume 176, April 2016, Pages 295-307, doi: 10.1016/j.rse.2016.02.009
For over two decades nighttime satellite imagery from the Operational Linescan System (OLS) has been used to detect impervious surfaces. However, OLS-based maps suffer from the sensor’s coarse resolution (2.7 km/pixel), overglow, and saturation in
Woźniak E., Kofman W., Wajer P., Lewiński S., Nowakowski A. (2016) The influence of filtration and decomposition window size on the thresholdvalue and accuracy of land-cover classification of polarimetric SAR images, International Journal of Remote Sensing, 37:1, 212-228, doi: 10.1080/01431161.2015.1125548
In this study we use ALOS PALSAR satellite data to classify land cover using a decision tree algorithm. We apply polarimetric decomposition methods to coherence and covariance matrices obtained from the data and then
Aleksandrowicz, S.; Wawrzaszek, A.; Drzewiecki, W.; Krupiński, M. (2016) Change Detection Using Global and Local Multifractal Description, IEEE Geoscience and Remote Sensing Letters, Volume: 13, Issue: 8, Aug. 2016, doi: 10.1109/LGRS.2016.2574940
In this letter, we apply the multifractal formalism to land cover change detection on very high spatial resolution data. Specifically, multifractal spectra are determined and, with modifications, are used as an initial general indicator
Kotarba A.Z. (2016) Comparison of Differences Between MODIS 250 m and 1 km Cloud Masks. Atmospheric Research, 181, 54-62, doi:10.1016/j.atmosres.2016.06.014
The spatial resolution of remote sensing instruments installed onboard satellites is one of the key factors for accurate estimations of cloud amount. In general terms, the larger the instantaneous field of view (IFOV), the
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
24th SPIE Remote Sensing Symposium in Warsaw
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