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

Szulkin M., Garroway C. J., Corsini M., Kotarba A. Z., Dominoni D. (2020), How to Quantify Urbanization When Testing for Urban Evolution?

Urban Evolutionary Biology fills an important knowledge gap on wild organismal evolution in the urban environment, whilst offering a novel exploration of the fast-growing new field of evolutionary research. The growing rate of urbanization


FPCUP – Caroline Herschel Framework Partnership Agreement. The primary objective of the FPCUP-project is to increase the number of Copernicus users and applications derived from Copernicus based on user requirements. Furthermore, the project aims

Jenerowicz M., Wawrzaszek A., Drzewiecki W., Krupiński M., Aleksandrowicz S. (2019), Multifractality in Humanitarian Applications: A Case Study of Internally Displaced Persons/Refugee Camps, IEEE Journal of Selected Topics in Applied Earth Observations and Remote

The coordination of humanitarian relief is always difficult due to a lack of data required for management and planning. Remote sensing imagery can be an important source of information about the in-situ situation, notably,

First Newsletter of MAIL project

The first Newsletter of MAIL (Identifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO2 sequestration strategy,) is available online. In the newsletter you may find more details about project goals,

Woźniak E., Aleksandrowicz S. (2019), Self-Adjusting Thresholding for Burnt Area Detection Based on Optical Images, Remote Sensing

Mapping of regional fires would make it possible to analyse their environmental, social and economic impact, as well as to develop better fire management systems. However, automatic mapping of burnt areas has proved to

Krupiński M., Wawrzaszek A., Drzewiecki W., Aleksandrowicz S., Jenerowicz M. (2019), Multifractal Parameters for Spectral Profile Description, IGARSS 2019

Hyperspectral data provides huge amount of detailed information about spectral properties of the objects. In the era of fast data volume enlargement, it is necessary to develop methods and algorithms which are capable for

Aleksandrowicz S., Wawrzaszek A., Jenerowicz M., Drzewiecki W. and Krupiński M. (2019), Local Multifractal Description of Bi-Temporal VHR Images, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), Shanghai, China, 2019, pp. 1-3. doi: 10.1109/Multi-Temp.2019.8866963

In this work we apply local multifractal formalism to spectral bands of bi-temporal Very High Resolution (VHR) images. Analysis of the local multifractal description and its changes between images acquired in two points in

Jenerowicz M., Wawrzaszek A., Krupiński M., Drzewiecki W., Aleksandrowicz S. (2019), Aplicability of Multifractal Features as Descriptors of the Complex Terrain Situation in IDP/Refugee Camps, IGARSS 2019

This paper presents the preliminary results of the complex terrain situation description with the utility of multifractal features. The analysis was done for two samples of Internally Displaced Person/Refugee camps (Ifo, Daadab in Kenya/Al