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Jan 27
EO Africa online course on EO for Marine and Coastal Resources Applications
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Jan 28
3rd ESA Carbon Science Cluster Meeting (POSTPONED)
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Feb 03
ESA Digital Twin Earth Components: Open Science Meeting
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Tag: crops and yields

EO AFRICA Integrated use of multisource remote sensing data for national scale Agricultural Drought Monitoring in Kenya (ADM-Kenya)

Prime company: Leibniz Centre for Agricultural Landscape Research (ZALF) (DE)

ADM Kenya project aims to co-develop solutions for monitoring crop condition and cropping systems with EO time-series observations to derive evidence-based quantitative vegetation condition estimates with high spatial and temporal resolution. We will develop novel EO-based solutions for drought monitoring at a national scale in Kenya. ADM Kenya will provide cloud-based processing algorithms that will …

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EO AFRICA Earth Observation system to Manage Africa’s food systems by Joint-knowledge of crop production and Irrigation digitization – EO-MAJI

Prime company: UNIVERSITY OF LEICESTER (GB)

Primary objective of this project is to utilize the unique spatial, spectral and temporal characteristics of ECOSTRESS thermal sensor and PRISMA hyperspectral sensor to develop novel methods addressing the growing challenges affecting the nexus of water resource management and food security in Africa. Irrigated agriculture is right in the centre of those two domains and …

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11th Advanced Training Course on Land Remote Sensing

November 21, 2022 - November 25, 2022

Background The European Space Agency (ESA) is organising an Advanced Training Course on Land Remote Sensing with the focus on Agriculture and Water in collaboration with the Institute of Advanced Studies Kőszeg (iASK). This course is dedicated to training the next generation of Earth Observation (EO) scientists and experts working in Agriculture and Water domain to exploit data …

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Big EO Data Analytics

Prime company: SPACETEC PARTNERS SPRL (BE)

EO data allows us to gather massive global information about our planet Earth’s physical, chemical and biological systems via satellites carrying remote sensing devices. When large amounts of data are concerned, such as those captured by remote sensing devices on satellites used in EO, our computers and AI algorithms can be used to help us …

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