Earth Observation for Early Warning of Land Degradation at European Frontier

Informacje na temat projektu

EWALD

Identyfikator umowy o grant: 101086250

DOI

10.3030/101086250

Data podpisania przez KE 21 Września 2022

Data rozpoczęcia 1 Grudnia 2022

Data zakończenia 30 Listopada 2026

Finansowanie w ramach

• Marie Skłodowska-Curie Actions (MSCA)

Koszt całkowity

Brak danych

Wkład UE

€ 1 416 800,00

Koordynowany przez

COFAC COOPERATIVA DE FORMACAO E ANIMACAO CULTURAL CRL
Portugal

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (2)

Dessimination & Communication Plan

Preparation of the Dessimination and Communication project Plan

The guideline for enhancing responses to LD at the local and regional scale

Recommendations on enhancing responses to LD at the local and regional scale within the EU external frontier based on LD early warning conception and preparation a manual for application of geospatial techniques to assess, monitor and identify land degradation at early stages, and the implications of obtained results

Demonstrators, pilots, prototypes (1)

The elaborated web-based EWS Prototype

Elaboration of the workflows for big Data processing and Machine learning aiming to reveal trends of LD indicators from EO-based data.

Data Management Plan (1)

Data Management Plan

Elaboration of the Data Management Plan

Websites, patent fillings, videos etc. (1)

Project website

The website of the project will become available

Publikacje

Conference proceedings (8)

ADDRESSING LAND DEGRADATION IN AN OASIS DOMAIN: A REMOTE SENSING AND MODELING APPROACH FOR PREDICTION AND MONITORING OF SALINITY AND SILTATION

Autorzy: Rafik, Abdellatif; Ibouh, Hassan; Mezzane, Daoud; Popov, Mykhailo; Lukyanchuk, Igor; Ouzine, Lahcen; Aboufirass, Mohammed
Opublikowane w: 2023
DOI: 10.5281/ZENODO.10819431

SCHEME FOR PROVIDING EARLY WARNING PROCESS WITH ARCGIS PLATFORM

Autorzy: Seredinin, Eugeny; Maltsev, Sergii; Lypska, Yuliia; Kukharuk, Alina; Rashchuk, Vita; Smitiukh, Anhelina
Opublikowane w: 2023
DOI: 10.5281/ZENODO.10819390

SATELLITE MONITORING OF ANTHROPOGENIC PROCESSES AND FACTORS OF LAND DEGRADATION IN UKRAINE

Autorzy: Lesya Yelistratova, Alexander Apostolov, Artur Hodorovsky, Olha Tomchenko, Maksym Tymchyshyn
Opublikowane w: SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Numer 2.1, Numer 24, 2024
Wydawca: STEF92 Technology
DOI: 10.5281/zenodo.14673225

EWS PROTOTYPE DESIGN: CONCEPTUAL FRAMEWORK, SUBTASKS AND INTERACTION WITH THE PARTNERS

Autorzy: Popov, Mykhailo; Stankevich, Sergey; Kozlova, Anna; Piestova, Iryna; Lubskyi, Mykola; Khyzhniak, Anna
Opublikowane w: 2023
DOI: 10.5281/ZENODO.10819398

Analysis of the Co-Seismic Displacement Caused by the 2023 Mw 6.9 High Atlas Earthquake in the Ouarzazate Province, Morocco using DInSAR

Autorzy: B. Sadiq, A. Kozlova, A. Andreiev, H. Ibouh, D. Mezzane
Opublikowane w: International Conference of Young Professionals «GeoTerrace-2024», 2024
Wydawca: European Association of Geoscientists & Engineers
DOI: 10.3997/2214-4609.2024510015

ROLE OF REMOTE SENSING DATA IN ENVIRONMENTAL RESEARCH. DESERTIFICATION AND ITS EXPLORATION USING REMOTE SENSING METHODS

Autorzy: Lubskyi, Mykola
Opublikowane w: 2023
DOI: 10.5281/ZENODO.10819528

A MULTICRITERIA DECISION ANALYSIS FRAMEWORK FOR MONITORING AND FORECASTING LAND DEGRADATION RISK IN ECOSYSTEMS WITH MULTIPLE ASSETS

Autorzy: Mateus, Ricardo J. G.; Rodrigues, João Antunes; Pinto, Francisco Silva
Opublikowane w: 2023
DOI: 10.5281/ZENODO.10819494

LAND COVER DEGRADATION CHALLENGES IN UKRAINE: NATURAL DRIVERS AND PROCESSES

Autorzy: Lesya Yelistratova, Alexander Apostolov, Artur Khodorovskyi, Maksym Tymchyshyn
Opublikowane w: SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Numer 2.1, Numer 24, 2024
Wydawca: STEF92 Technology
DOI: 10.5281/zenodo.10815554

Peer reviewed articles (5)

Short-term spectral indication of the salinity effects on avocado rootstocks growth caused with ground and regenerated wastewater irrigation

Autorzy: Paloma Hueso-Gonzalez, Mykola M. Kharytonov, Anna O. Kozlova, Artem A. Andreiev, Jose Damian Ruiz-Sinoga
Opublikowane w: International Journal of Environmental Studies, 2025, ISSN 0020-7233
Wydawca: Informa UK Limited
DOI: 10.5281/zenodo.14771979

Determination of Reservoir Oxidation Zone Formation in Uranium Wells Using Ensemble Machine Learning Methods

Autorzy: 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.
Opublikowane w: Mathematics, 2023, ISSN 2227-7390
Wydawca: MDPI
DOI: 10.3390/math11224687

Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models

Autorzy: Mukhamediev, R.I.; Merembayev, T.; Kuchin, Y.; Malakhov, D.; Zaitseva, E.; Levashenko, V.; Popova, Y.; Symagulov, A.; Sagatdinova, G.; Amirgaliyev, Y.
Opublikowane w: Remote Sensing, 2023, ISSN 2072-4292
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs15174269

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

Autorzy: Nouhaila Elbakhouch, Hassan Ibouh, Ahmed Touil, Driss Chafiki
Opublikowane w: Geologos, Numer 30, 2024, ISSN 2080-6574
Wydawca: Sciendo
DOI: 10.14746/LOGOS.2024.30.2.11

Multiferroic properties of electrospun CoFe2O4–(Ba0.95Ca0.05)(Ti0.89Sn0.11)O3 nanocomposites for magnetoelectric and magnetic field sensing applications

Autorzy: 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
Opublikowane w: Journal of Materials Science: Materials in Electronics, Numer 35, 2024, ISSN 0957-4522
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/s10854-024-13585-2