The study conducts a systems analysis of coping and adaptation strategies in Tanzanian refugee camps, focusing on the Mtendeli camp as a case study. It explores the environmental changes during the stages of the

Artificial light at night (ALAN) has global impacts on animals, often negative, yet its effects in polar regions remains largely underexplored. These regions experience prolonged darkness during the polar night, while human activity and

Identifying and quantifying ecosystem degradation and recovery is of critical importance for ecosystem health, biodiversity, food security and the livelihoods of local communities. Remote sensing datasets and techniques, particularly land cover maps, provide crucial

Identifying and quantifying ecosystem degradation and recovery is of critical importance for ecosystem health, biodiversity, food security and the livelihoods of local communities. Remote sensing datasets and techniques, particularly land cover maps, provide crucial

The purpose of this article is to present the scope and the dynamics of the environmental changes unfolded in the vicinity of Mtendeli refugee camp. It presents a new method, which combines geospatial analysis

SATMIROL project aims to solve the problems faced by agricultural statistics and recipients of agricultural statistics by: development of methods based on satellite data from the European COPERNICUS program for: the identification and monitoring

The ambition of the project ‘Using remote sensing to manage blue-green urban infrastructure for climate change adaptation’ (LIFECOOLCITY) is to support the management of blue-green infrastructure (BZI) in 10,000 cities in the European Union,

The basic assumption of the project is the use of artificial intelligence (AI) for fully automatic detection of military objects such as aircraft and boat. IntSen2 aims to support the operational autonomy of the

Although cloud profiling lidars provide the most accurate data on cloud amount (CA), cloud top height (CTH) and cloud optical thickness (COT), they only sample cloud fields along a one-dimensional transect. This approach introduces

The SOC change index, defined as the normalized difference between the actual Soil Organic Carbon and the value assumed at an initial reference year, is here tailored to the RothC carbon model dynamics. It