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,


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

Woźniak E., Rybicki M., Kofman W., Aleksandrowicz S., Wojtkowski C., Lewiński S., Bojanowski J., Musiał J., Milewski T., Slesiński P., Łączyński A. (2022), Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification

Crop classification is a crucial prerequisite for the collection of agricultural statistics, efficient crop management, biodiversity control, the design of agricultural policy, and food security. Crops are characterized by significant change during the growing