Stay in touch with TWIGA by following our weekly blogs
February 5, 2021
Report on Citizen Scientist Training in Nakasongola District, Kalungi and Lwabwata Sub-counties
Work package 4 (Biosphere), one of the 4 main TWIGA work packages implemented at Makerere university focuses on monitoring vegetation in general and crop development in particular, coinciding with the sixth objective to produce accurate maps of land cover, land use, and crop status. However, because African agriculture is characterised by small scale and mixed cropping patterns, the project will employ Citizen-scientists and UAVs to produce the necessary spatial and temporal granularity....
January 22, 2021
How many ground observations should w aim at?
TWIGA focuses on the combination of remote sensing data and ground-based observations to run models and develop products.
January 29, 2021
SAR-derived water vapor maps for meteorological applications: processing advancement.
Numerical Weather Prediction Models (NWPM) can significantly benefit from the ingestion of SAR-derived products like...
January 8, 2021
DISDRO IN KENYA
In Narok, Kenya there is a unique network of rain sensors on experiment. We call it the Disdro Network – a network of some acoustic devices that measures distribution and intensity of rainfall.
December 4, 2020
UNIVERSAL AND INCLUSIVE ACCESS TO GEOSPATIAL INFORMATION FOR INCREASED PRODUCTION AND PRODUCTIVITY IN AGRICULTURE AND WATER
There is a lot of attention for digitalisation for rural development ....
December 11, 2020
Using drones to get insight into field-scale moisture status
Within the TWIGA project, a student from Wageningen University, Kim Faassen, took up an internship with FutureWater to complete her MSc..
November 27, 2020
Coping with ionospheric disturbances in sub-Saharan Africa for GNSS meteorological applications
At the end of 2019, TWIGA shipped 6 low-cost GPS stations to Uganda. These were deployed in and around Kampala...
October 30, 2020
CHASING NEUTRONS: A story that starts in the deep cosmos and ends in a field near you
In the TWIGA proposal, we included one technology that was at the lowest Technology Readiness Level (TRL1). This was
November 20, 2020
Transboundary Water Management made easier using the TWIGA platform
Currently, only around 58% of Africans have access to safe drinking water. More than 90% of African fresh water...
October 09, 2020
TWIGA - HydroNET INTEGRATION
Embracing current and emergent technologies has never been enough in resolving local challenges within our communities. Most often than not, the traditional...
September 17, 2020
Water vapor maps from the integration of GNSS measurements, SAR satellite images and NWP models
Copernicus Sentinel-1 SAR (Synthetic Aperture Radar) acquisitions allow for the..
September 04, 2020
FAO AQUACROP IN TWIGA
Crop simulation models are widely used by scientists, policy-makers and practitioners to understand the
August 28, 2020
VEGETATION MONITORING (VegMon)
TWIGA acknowledges the important role of vegetation in the hydrological cycle. The vegetation monitoring is
August 02, 2020
ENVIRONMENTAL ACCOUNTING, ON THE DASHBOARD OR IN THE TRUNK?
Fortunately, the attention for environmental accounting and ecosystem accounting is growing. We need more systems for inclusive
July 24, 2020
THE POWER of the TWIGA PARTNERSHIP
Within the TWIGA project a broad variety of partners from Europa and Africa are involved. The TWIGA team has applied the award...
July 17, 2020
TOWARDS NEAR REAL TIME ATMOSPHERIC WATER VAPOR MONITORING IN AFRICA
Water vapour content of the atmosphere lowest layer (up to about 15 km from the ground), which...
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June 26, 2020
FIELD WORK ALTERNATIVES DURING COVID-19
Towards the end of 2019, a good number of students at TU Delft were eager to travel to Africa for TWIGA field work in what we call ...
May 22, 2020
GNSS DEPLOYMENT IN UGANDA
Objective 4 of the TWIGA project aims to Improve predictability and assessment of African rainfall by mapping perceptible water vapour and tracking convective storm systems.
May 15, 2020
HOW WATER VAPOUR OBSERVATIONS ENTER IN THE HEAVY RAIN PHENOMMENA PREDICTION MACHINERY
Weather predictaions are challenging under many aspects. Nowadays, we have numerical weather predicti.....
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No.776691. The opinions expressed on the web page are of the authors only and no way reflect the European Commission’s opinions. The European Union is not liable for any use that may be made of the information.
