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Gromny E. at al., (2024) Remote sensing insights into land cover dynamics and socio-economic Drivers: The case of Mtendeli refugee camp, Tanzania (2016–2022)
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
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
Remote sensing as a recipe for effective urban adaptation to the effects of climate change
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,
IntSen2
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
Kotarba, A.Z. (2022) Errors in global cloud climatology due to transect sampling with the CALIPSO satellite lidar mission
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
Diele F., Luiso I., Marangi C., Martiradonna A., Woźniak E. (2022) Evaluating the impact of increasing temperatures on changes in Soil Organic Carbon stocks: sensitivity analysis and non-standard discrete approximation
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
Kotarba, A. Z. (2022) Impact of the revisit frequency on cloud climatology for CALIPSO, EarthCARE, Aeolus, and ICESat-2 satellite lidar missions
Space profiling lidars offer a unique insight into cloud properties in Earth’s atmosphere and are considered the most reliable source of total (column-integrated) cloud amount (CA), and true (geometrical) cloud top height (CTH). However,
EOTiST project during IALE 2022 European Landscape Ecology Congress
Results of EOTiST project will be presented during he biggest European landscape ecology conference – IALE 2022. The conference will take place between 11 and 15 of July 2022. The list of presentations with
Kotarba, A.Z, Nguyen Huu, Ż. (2022) Accuracy of cirrus detection by surface-based human observers
The longest cirrus time series are ground-based, visual observations captured by human observers [synoptic observations (SYNOP)]. However, their reliability is impacted by an unfavorable viewing geometry (cloud overlap) and misclassification due to low cloud
Bojanowski J., Sikora S., Musiał J., Woźniak E., Katarzyna Dąbrowska-Zielińska K., Slesiński P., Milewski T., Łączyński A. (2022), Integration of Sentinel-3 and MODIS Vegetation Indices with ERA-5 Agro-meteorological Indicators for Operational Crop Yield Forecasting
Timely crop yield forecasts at national level are substantial to support food policies, to assess agricultural production and to subsidize regions affected by food shortage. This study presents an operational crop yield forecasting system