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Newly Available Map Compositions for Africa Resulting from Open Spring INSPIRE Hackathon 2021

SmartAfriHub offers a set of map compositions divided into various thematic groups. Feel free to explore them and extend them with your own layers!

Earth Observation

This map composition serves farms, individual farmers and the professional public to better understand the current state and development of vegetation in the field.

 

Open Land Use

Open Land Use is a composite map showing the land cover for the whole Kenya, Uganda, Burundi, Rwanda and Tanzania.

Pan-African Dataset

The Pan_African dataset includes selected data from RCMRD, FAO and Rural Attractiveness for Africa.

Blogs

Upcoming Webinar: Assessing phenological events in agriculture based on Copernicus data

On Wednesday, there will be a webinar on Assesing phenological events in agriculture based on Copernicus data and you are cordially invited!

DURING THIS FREE WEBINAR YOU WILL LEARN:

  • Phenology in agriculture
  • Phenology relevant data (RS/Copernicus data, other sources of data): definition and availability. Radar and optical data
  • New data analysis methods such as deep learning algorithms

 

What: Monitoring phenology along the growing season on a large scale is crucial for all actors of the agri-food chain (farmers, agri-food industry, insurance companies, public administration and policy makers) but is still challenging. Different possibilities to improve the assessment of agricultural crop phenology can be identified and this webinar we will discuss some ways of addressing these challenges. The complementary use of different sources of time-series data (remote sensing, ground truth data,...etc .), modern algorithms/methods and computing resources to analyse it, allows a near real time (NRT) monitoring of crop phenological events for all actors in the agri-food chain. The use of radar data (S1 and possibly S3 images) could provide valuable information on crop phenology over areas often covered by the clouds. Availability of «new» sources of geo-located data sets (meteorological, dash-cams, etc ..) allows to enlarge ground truth sample to calibrate and validate the proposed algorithms. Deep learning algorithms designed for time-series analysis used on high power computing systems, allows to improve the monitoring of phenological events in agriculture.

Why: Availability of Copernicus data. Processing large amounts of image data such as those provided by Copernicus is a computationally demanding task. Computing capabilities have considerably increased over the last years so as allowing the processing with complex algorithms of these data.

Who (is the webinar for):  Academia & Research, Researchers, students, people interested in time-series datasets and high-dimensional function modelling via deep learning.

If you want to learn more, please register for the livestream HERE!

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Our Tools

SmartAfriHub amazing tools. This tools are open for all users. Registered users are allowed to use this tools for own projects.

HSLAYERS NG

A library providing a foundation to build map GUI and extra components such as layer manager, permalink generating, styling of vector features, including OpenGIS® Web Map Service Interface Standard (WMS) layers to the map in a user friendly way.

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LAYMAN

A tool for easy management, access control and publishing of vector based spatial data and their visualisations.

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OPEN MICKA

Micka tool is a set of libraries and a web application for management and discovery of geospatial (meta)data.

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SENSLOG

SensLog is an open sensor data management solution to receive, store, manage, analyse and publish sensor data.

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QGIS LAYMAN PLUGIN

This is an extension of the geographic information system QGIS that enables to users create and edit layers and create map composition structures on local stations with a possibility to upload to the server.

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SUPERTOOL

Do you have an intersting tool which can be integrated into Smart Afrihub Portal?

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POLIRURAL DIH, MEMBER OF SMARTAGRIHUBS.EU

SMARTAGRIHUBS.EU - SMARTAFRIHUB, MEMBER OF network

SmartAgriHubs is a € 20 million EU project under Horizon 2020 and brings together a consortium of more than 164 partners in the European agri-food sector. The project aims to realize the digitization of European agriculture by supporting an agricultural innovation ecosystem dedicated to excellence, sustainability and success.

The development and adoption of digital solutions is achieved through a tense ecosystem of 140 digital innovation centers built into 9 regional clusters run by organizations closely involved in regional digitization initiatives and funds.

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EXACT PROCESSING

 

We pride ourselves on extensive knowledge, experience and support from the academic world. We always try to be one step ahead.

Consultation

Detailed analysis of the issue

Plan

Planning and solution design

Development

Development, testing and deployment

Live operation

Live operation, evaluation of the results of the science to further steps to improve

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