HEОбмен на изследователи2022–2026

EWALD · Earth Observation for Early Warning of Land Degradation at European Frontier

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2022-12-01 → 2026-11-30
Финансиране от ЕС: 1 416 800 €
Участници: 9
Схема: HORIZON-TMA-MSCA-SE

Линиите свързват координатора с партньорите.

Накратко на български

Деградацията на почвите в граничните райони на ЕС, като Украйна и Мароко, се проследява чрез данни от спътникови наблюдения. Това помага за създаването на система за ранно предупреждение, която да намали вредите за околната среда и местните общности.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Earth Observation for Early Warning of Land Degradation at European Frontier

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. This framework will be a remarkable economic, innovative, and reliable approach allowing an in-depth and objective evaluation of LD using remote sensing (RS) over the extensive territories of the countries with different socio-economic backgrounds. We use the examples of Ukraine and Morocco as the test regions (TRs). It will be a core engine for the future decision-making system aimed to prepare communities threatened by LD to act promptly and appropriately to reduce the possibility of harm or loss. The complete technology for LD early warning using multisource and multiscale EO data will be elaborated. It will include: (1) EWS Prototype Design,Elaboration of the EWS conceptual framework. Establishment of a set of LD indicators & models describing LD processes at multiple scales. Formulation of the requirements on multisource & multiscale EO-based products applied in the EWS Prototype. Formulation of the requirements on hazards and vulnerability assessment. (2) EWS Prototype Development, Advanced Remote Sensing (RS) technical platform development. Elaboration of the workflows for big Data processing and Machine learning aiming to reveal trends of LD indicators from EO-based data. Elaboration of the workflows for LD risks forecasting from EObased LD indicators. Conversion of the elaborated workflows to the appropriate warning tool realized in cloud computing, in particular, working from isolated sites (3) EWS Prototype Validation, Validation and demonstration of the application-oriented EWS for at-site LD processes assessment over large areas. The EWS Prototype will be elaborated to provide early warning and responses to LD threatening of the territories at the EU external frontier. The innovative complex approach to integrating the multisource and multiscale EO data, novel remote sensing, and modeling techniques with risk knowledge, the EWS Prototype will provide monitoring and forecasting of the LD processes to make the right decisions.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

COFAC COOPERATIVA DE FORMACAO E ANIMACAO CULTURAL CRL · LISBOAКоординаторПортугалия
LIMITED LIABILITY COMPANY ECOMM CO · KyivУкрайна
QUANTAG IT SOLUTIONS GMBH · UnterhachingГермания
RESSOURCES INGENIERIE · MarrakechМароко
RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN · BonnГермания
SCIENTIFIC CENTRE FOR AEROSPACE RESEARCH OF THE EARTH OF THE INSTITUTE OF GEOLOGICAL SCIENCES OF THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE · KievУкрайна
UNIVERSITE CADI AYYAD · MarrakechМароко
UNIVERSITY OF HAMBURG · HamburgГермания
ZILINSKA UNIVERZITA V ZILINE · ZilinaСловакия