Earth Observation for Early Warning of Land Degradation at European Frontier

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-SEID: 101086250
EC Contribution
€14,168
Consortium Size
7 orgs
Start Year
2022
Summary

Land degradation (LD) is the world's greatest environmental challenge affecting the environment, agriculture, and human wellbeing. Intensified by natural disasters and desertification, the LD may present potential risks and socioeconomic tension at the European Union (EU) frontier. The project aims to develop an innovative framework to provide an Early Warning System (EWS) and responses to the LD threatening the EU from its external border, using multi-source and multi-scale Earth Observation (EO) data. The consortium consists of the University Lusofona, PT, which will work with big data management, smart computation, and risk analysis, - Center for Remote Sensing of Land Surfaces of the University of Bonn, GE, bringing their long-term research expertise on the LD, - Scientific Centre for Aerospace Research of the Earth, UA, supporting with in-depth knowledge on development and application of advanced EO-based technologies, - SME ECOMM, UA, implementing the emergent geo-informational solutions, - the University of Zilina, SL working in multi-state simulation system for the LD risk assessment and advanced cloud computing, - the University of Marrakech, MOROCCO, with longterm experience in the inland LD and desertification evaluation using the EO data, - The Resource Ingeneering Company (RESING) implementing the developed EWS Prototype, providing the necessary data and logistic support. The EWS Prototype will be delivered to the EU and tested in complementary conditions in Ukraine, facing anthropogenic impact risks, and in Morocco where desertification risks are intensifying. The intersectoral region-specific expertise and skill-transfer secondments will ensure the self-sustainability and further evolution of the delivered system and of the Consortium. Dissemination of the approach to the agricultural consumers will support the development of environmental and socioeconomic factors, reach out to the remote rural society and enhance cooperation with and within the EU.

Consortium (7)

Project Results (23)

Source: CORDIS, the EU research results database.

Publications (16)
Rapid and highly efficient synergistic sonophotocatalytic degradation of methyl orange with Cu-doped LaFeO₃ perovskite nanoparticles
Journal of Water Process Engineering· 2026DOI
Salma Elmouloua, M'’barek Amjoud, Daoud Mezzane, Manal Benyoussef, Jaafar Ghanbaja, Mohamed Gouné, Mohamed Lahcini, Zdravko Kutnjak, Mimoun El Marssi
Short-term spectral indication of the salinity effects on avocado rootstocks growth caused with ground and regenerated wastewater irrigation
International Journal of Environmental Studies· 2025DOI
Paloma Hueso-Gonzalez, Mykola M. Kharytonov, Anna O. Kozlova, Artem A. Andreiev, Jose Damian Ruiz-Sinoga
Spatial Bias Correction of ERA5_Ag Reanalysis Precipitation Using Machine Learning Models in Semi-Arid Region of Morocco
Atmosphere· 2025DOI
Achraf Chakri, Sana Abakarim, João C. Antunes Rodrigues, Nour-Eddine Laftouhi, Hassan Ibouh, Lahcen Zouhri, Elena Zaitseva
Analysis of the Co-Seismic Displacement Caused by the 2023 Mw 6.9 High Atlas Earthquake in the Ouarzazate Province, Morocco using DInSAR
International Conference of Young Professionals «GeoTerrace-2024»· 2024DOI
B. Sadiq, A. Kozlova, A. Andreiev, H. Ibouh, D. Mezzane
LAND COVER DEGRADATION CHALLENGES IN UKRAINE: NATURAL DRIVERS AND PROCESSES
SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Issue 2.1· 2024DOI
Lesya Yelistratova, Alexander Apostolov, Artur Khodorovskyi, Maksym Tymchyshyn
Multiferroic properties of electrospun CoFe2O4–(Ba0.95Ca0.05)(Ti0.89Sn0.11)O3 nanocomposites for magnetoelectric and magnetic field sensing applications
Journal of Materials Science: Materials in Electronics· 2024DOI
Youness Hadouch, Nayad Abdallah, Daoud Mezzane, M’barek Amjoud, Voicu Dolocan, Khalid Hoummada, Nikola Novak, Anna Razumnaya, Brigita Rozic, Val Fisinger, Hana Ursic, Valentin Laguta, Zdravko Kutnjak, Mimoun El Marssi
SATELLITE MONITORING OF ANTHROPOGENIC PROCESSES AND FACTORS OF LAND DEGRADATION IN UKRAINE
SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Issue 2.1· 2024DOI
Lesya Yelistratova, Alexander Apostolov, Artur Hodorovsky, Olha Tomchenko, Maksym Tymchyshyn
Structural and mineralogical mapping using multispectral satellite data (Aster, Landsat 8 OLI, and Sentinel 2B) combined with field work in the Western High Atlas, Morocco
Geologos· 2024DOI
Nouhaila Elbakhouch, Hassan Ibouh, Ahmed Touil, Driss Chafiki
A MULTICRITERIA DECISION ANALYSIS FRAMEWORK FOR MONITORING AND FORECASTING LAND DEGRADATION RISK IN ECOSYSTEMS WITH MULTIPLE ASSETS
· 2023DOI
Mateus, Ricardo J. G.; Rodrigues, João Antunes; Pinto, Francisco Silva
ADDRESSING LAND DEGRADATION IN AN OASIS DOMAIN: A REMOTE SENSING AND MODELING APPROACH FOR PREDICTION AND MONITORING OF SALINITY AND SILTATION
· 2023DOI
Rafik, Abdellatif; Ibouh, Hassan; Mezzane, Daoud; Popov, Mykhailo; Lukyanchuk, Igor; Ouzine, Lahcen; Aboufirass, Mohammed
Determination of Reservoir Oxidation Zone Formation in Uranium Wells Using Ensemble Machine Learning Methods
Mathematics· 2023DOI
Mukhamediev, R.I.; Kuchin, Y.; Popova, Y.; Yunicheva, N.; Muhamedijeva, E.; Symagulov, A.; Abramov, K.; Gopejenko, V.; Levashenko, V.; Zaitseva, E.; Litvishko N.; Stankevich S.
EWS PROTOTYPE DESIGN: CONCEPTUAL FRAMEWORK, SUBTASKS AND INTERACTION WITH THE PARTNERS
· 2023DOI
Popov, Mykhailo; Stankevich, Sergey; Kozlova, Anna; Piestova, Iryna; Lubskyi, Mykola; Khyzhniak, Anna
ROLE OF REMOTE SENSING DATA IN ENVIRONMENTAL RESEARCH. DESERTIFICATION AND ITS EXPLORATION USING REMOTE SENSING METHODS
· 2023DOI
Lubskyi, Mykola
SCHEME FOR PROVIDING EARLY WARNING PROCESS WITH ARCGIS PLATFORM
· 2023DOI
Seredinin, Eugeny; Maltsev, Sergii; Lypska, Yuliia; Kukharuk, Alina; Rashchuk, Vita; Smitiukh, Anhelina
Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models
Remote Sensing· 2023DOI
Mukhamediev, R.I.; Merembayev, T.; Kuchin, Y.; Malakhov, D.; Zaitseva, E.; Levashenko, V.; Popova, Y.; Symagulov, A.; Sagatdinova, G.; Amirgaliyev, Y.
The architecture of land degradation early warning based on Earth observation
2023 International Conference on Information and Digital Technologies (IDT)DOI
Mykhailo Popov, Sergey Stankevich, Anna Kozlova, Iryna Piestova, Anna Khyzhnyak, Elena Zaitseva, Vitaly Levashenko, Eugeny Seredinin, Sergii Maltsev, Yuliia Lypska, Alina Kukharuk, Vita Rashchuk, Anhelina Smitiukh
Deliverables (6)
Other Results (1)
Periodic Reporting for period 1 - EWALD (Earth Observation for Early Warning of Land Degradation at European Frontier)