Designing AfriCultuReS services to support food security in Africa

Autor: Maria Chara Karypidou, Eleni Katragkou, Stergios Kartsios, Dan Brockington, Giovanni Laneve, J. Suarez Beltran, Thomas Alexandridis, M. Gómez Giménez, Nosiseko Mashiyi, Ines Cherif, K. C. Pattnayak, Rose Pritchard, S. Herrera García, Andrew J. Challinor, Georgios Ovakoglou, Clarisse Kagoyire, Mahlatse Kganyago, Dimitrios S. Kasampalis, Dimitrios Moshou
Přispěvatelé: Universidad de Cantabria
Rok vydání: 2020
Předmět:
Zdroj: Transactions in GIS 2020 September pp 1-29.
Transactions in GIS
ISSN: 1467-9671
1361-1682
Popis: Earth observation (EO) data are increasingly being used to monitor vegetation and detect plant growth anomalies due to water stress, drought, or pests, as well as to monitor water availability, weather conditions, disaster risks, land use/land cover changes and to evaluate soil degradation. Satellite data are provided regularly by worldwide organizations, covering a wide variety of spatial, temporal and spectral characteristics. In addition, weather, climate and crop growth models provide early estimates of the expected weather and climatic patterns and yield, which can be improved by fusion with EO data. The AfriCultuReS project is capitalizing on the above to contribute towards an integrated agricultural monitoring and early warning system for Africa, supporting decision making in the field of food security. The aim of this article is to present the design of EO services within the project, and how they will support food security in Africa. The services designed cover the users' requirements related to climate, drought, land, livestock, crops, water, and weather. For each category of services, results from one case study are presented. The services will be distributed to the stakeholders and are expected to provide a continuous monitoring framework for early and accurate assessment of factors affecting food security in Africa. This paper is part of the AfriCultuReS project "Enhancing Food Security in African Agricultural Systems with the Support of Remote Sensing", which received funding from the European Union's Horizon 2020 Research and Innovation Framework Programme under grant agreement No. 774652
Databáze: OpenAIRE