Earth Observation for Early Warning of Land Degradation at European Frontier

Información del proyecto

EWALD

Identificador del acuerdo de subvención: 101086250

DOI

10.3030/101086250

Fecha de la firma de la CE 21 Septiembre 2022

Fecha de inicio 1 Diciembre 2022

Fecha de finalización 30 Noviembre 2026

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 1 416 800,00

Coordinado por

COFAC COOPERATIVA DE FORMACAO E ANIMACAO CULTURAL CRL
Portugal

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Conference proceedings (8)

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

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

SCHEME FOR PROVIDING EARLY WARNING PROCESS WITH ARCGIS PLATFORM

Autores: Seredinin, Eugeny; Maltsev, Sergii; Lypska, Yuliia; Kukharuk, Alina; Rashchuk, Vita; Smitiukh, Anhelina
Publicado en: 2023
DOI: 10.5281/ZENODO.10819390

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

Autores: Lesya Yelistratova, Alexander Apostolov, Artur Hodorovsky, Olha Tomchenko, Maksym Tymchyshyn
Publicado en: SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Edición 2.1, Edición 24, 2024
Editor: STEF92 Technology
DOI: 10.5281/zenodo.14673225

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

Autores: Popov, Mykhailo; Stankevich, Sergey; Kozlova, Anna; Piestova, Iryna; Lubskyi, Mykola; Khyzhniak, Anna
Publicado en: 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

Autores: B. Sadiq, A. Kozlova, A. Andreiev, H. Ibouh, D. Mezzane
Publicado en: International Conference of Young Professionals «GeoTerrace-2024», 2024
Editor: 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

Autores: Lubskyi, Mykola
Publicado en: 2023
DOI: 10.5281/ZENODO.10819528

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

Autores: Mateus, Ricardo J. G.; Rodrigues, João Antunes; Pinto, Francisco Silva
Publicado en: 2023
DOI: 10.5281/ZENODO.10819494

LAND COVER DEGRADATION CHALLENGES IN UKRAINE: NATURAL DRIVERS AND PROCESSES

Autores: Lesya Yelistratova, Alexander Apostolov, Artur Khodorovskyi, Maksym Tymchyshyn
Publicado en: SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Edición 2.1, Edición 24, 2024
Editor: 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

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

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

Autores: 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.
Publicado en: Mathematics, 2023, ISSN 2227-7390
Editor: 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

Autores: Mukhamediev, R.I.; Merembayev, T.; Kuchin, Y.; Malakhov, D.; Zaitseva, E.; Levashenko, V.; Popova, Y.; Symagulov, A.; Sagatdinova, G.; Amirgaliyev, Y.
Publicado en: Remote Sensing, 2023, ISSN 2072-4292
Editor: 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

Autores: Nouhaila Elbakhouch, Hassan Ibouh, Ahmed Touil, Driss Chafiki
Publicado en: Geologos, Edición 30, 2024, ISSN 2080-6574
Editor: 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

Autores: 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
Publicado en: Journal of Materials Science: Materials in Electronics, Edición 35, 2024, ISSN 0957-4522
Editor: Springer Science and Business Media LLC
DOI: 10.1007/s10854-024-13585-2