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

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,

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

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

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

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

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

Cloud masks serve as a basis for estimates of cloud amount, which is an essential parameter for studying the Earth’s radiation budget. The most commonly used cloud mask is a simple thematic classification, which

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

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