TY - JOUR
T1 - Designing AfriCultuReS services to support food security in Africa
AU - Alexandridis, T. K.
AU - Ovakoglou, G.
AU - Cherif, I.
AU - Gómez Giménez, M.
AU - Laneve, G.
AU - Kasampalis, D.
AU - Moshou, D.
AU - Kartsios, S.
AU - Karypidou, M. C.
AU - Katragkou, E.
AU - Herrera García, S.
AU - Kganyago, M.
AU - Mashiyi, N.
AU - Pattnayak, K.
AU - Challinor, A.
AU - Pritchard, R.
AU - Brockington, D.
AU - Kagoyire, C.
AU - Suarez Beltran, J.
N1 - Publisher Copyright:
© 2020 John Wiley & Sons Ltd
PY - 2021/4
Y1 - 2021/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85090452438&partnerID=8YFLogxK
U2 - 10.1111/tgis.12684
DO - 10.1111/tgis.12684
M3 - Article
AN - SCOPUS:85090452438
SN - 1361-1682
VL - 25
SP - 692
EP - 720
JO - Transactions in GIS
JF - Transactions in GIS
IS - 2
ER -
