The webinar will describe ways to monitor flood events and surface soil moisture on a global scale, using microwave Earth Observation data. The webinar will be executed under the framework of the EO AFRICA R&D Facility by TU Wien.
The webinar provides a biological basis for crop yield estimation and within-season forecasting with Earth observation image data. The webinar will be executed under the framework of the EO AFRICA R&D Facility by the University of Twente – Faculty of Geoinformation Science and Earth Observation.
The 6th F2F course of the EO AFRICA R&D Facility will take place in Rabat, Morocco at CRASTE-LF (African Regional Centre for Space Science and Technology in French Language). This course will provide participants with the necessary theoretical and practical knowledge on vegetation and drought monitoring based on satellite EO data. It will focus both …
Methane is among the most important greenhouse gases in the Earth’s atmosphere, causing rapid global warming. A recent study indicates that tropical methane emissions explain a large fraction of the global atmospheric methane growth (Feng et al., 2022). The relatively short lifetime of methane of about a decade makes methane emissions an attractive target of …
This webinar will focus on the importance and use of Sentinel-1 SAR data for flood mapping. With Sentinel-1 SAR data, we can map and analyse the affected flooded areas over a region, that may be not easily accessible, and even compare them with the official flood maps available.
Afri4Cast project will develop a modeling platform making full exploitation of satellite remote sensing of PRISMA and ECOSTRESS sensors for climate change impact analyses on agriculture and making it available to African stakeholders for shaping future agricultural policies in the African Continent. Afri4Cast will provide national-, regional-, parcel-, pixel-specific in season production estimates, mycotoxin formation …
The project investigates how sustainable agriculture can be achieved in the Africa continent under drought conditions, by co-developing innovative scientific EO-based and state-of-the-art modelling solutions together with African experts increasing their knowledge and capacity, developing an operative platform and database for results visualization and sharing with the end-users.
This project aims to exploit new opportunities offered by the EO technological advances, in order to favour the development of EO local experts in Africa, by providing geospatial information and natural resources mapping/monitoring. Policy makers and relevant regional stakeholders (”Early Adopters”) will take a direct advantage on the availability of EO products describing the status …
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 …
The ANIN projects aims to: Develop and validate, together with South African experts, innovative EO-based solutions addressing drought monitoring at national scale Involve South African end-user entities throughout the project and facilitate integration of the developed solutions into their current operational working practices demonstrating the achieved benefits Fully exploit the capacity offered by ESA EO …
