Nguyen Huu Ż, Kotarba A. Z. (2021), Reliability of visual detections of cirrus over Poland

Earth is a cloudy planet—at every moment, 62–72% of the planet is covered by cloud. Its presence and properties affect the flow of energy between the sun, Earth and the atmosphere. More comprehensive information

Krupiński, M., Wawrzaszek, A., Drzewiecki, W.,Jenerowicz, M., Aleksandrowicz, S. (2020), What Can Multifractal Analysis Tell Us about Hyperspectral Imagery?

Hyperspectral images provide complex information about the Earth’s surface due to their very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of such a large amount of data requires dedicated analysis

EOTiST

Celem projektu EOTiST (Earth Observation Training in Science and Technology at the Space Research Centre of the Polish Academy of Sciences) jest rozwój kompetencji Zakładu Obserwacji Ziemi CBK PAN w dziedzinie monitorowania usług ekosystemowych

Malinowski, R., Lewiński, S., Rybicki, M., Gromny, E., Jenerowicz, M., Krupiński, M., Nowakowski, A., Wojtkowski, C., Krupiński, M., Krätzschmar, E., Schauer, P. (2020), Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery

Up-to-date information about the Earth’s surface provided by land cover maps is essential for numerous environmental and land management applications. There is, therefore, a clear need for the continuous and reliable monitoring of land

ARICA

ARICA: A multi-directional analysis of refugee/IDP camp areas based on HR/VHR satellite data Both natural and humanitarian catastrophes result in massive displacement of the affected population. The problem of the continuous increase of refugees/internally

Kotarba A. (2020), Calibration of global MODIS cloud amount using CALIOP cloud profiles

The Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection procedure classifies instantaneous fields of view (IFOVs) as either “confident clear”, “probably clear”, “probably cloudy”, or “confident cloudy”. The cloud amount calculation requires quantitative cloud fractions

Dziob D., Krupiński M., Woźniak E., Gabryszewski R. (2020), Interdisciplinary Teaching Using Satellite Images as a Way to Introduce Remote Sensing in Secondary School

This article aims to meet two needs: (i) the need for skilled workers and students in the area of remote sensing and (ii) the need to make school science interesting for students. This article

Belcore E., Piras M., Woźniak E. (2020), Specific alpine environment land cover classification methodology: Google Earth Engine processing for Sentinel-2 data

Land Cover (LC) plays a key role in many disciplines and its classification from optical imagery is one of the prevalent applications of remote sensing. Besides years of researches and innovation on LC, the

Belcore E., Wawrzaszek E., Woźniak E., Grasso N., Piras M. (2020), Individual Tree Detection from UAV Imagery Using Hölder Exponent

This article explores the application of Hölder exponent analysis for the identification and delineation of single tree crowns from very high-resolution (VHR) imagery captured by unmanned aerial vehicles (UAV). Most of the present individual

Woźniak E., Gabryszewski R., Dziob D. (2020), Remote sensing and electromagnetic wave behaviour to measure vegetation phenology with physics

Interdisciplinary models of teaching have been present in education systems for at least 30 years. The idea of the interdisciplinarity is to show students the contextualisation of subject knowledge, its relation to real-life problems