CAWa meeting with CAREC in Almaty

CAWa meeting with CAREC in Almaty

February 6, 2015

Irrigated cropland extent Central Asia

Focus region of CAWa WP3: Irrigation systems in the Aral Sea Basin

News from the CAWa project “Water in Central Asia”: On 6.2.2015 our team visited the Regional Environment Center of Central Asia (CAREC). The meeting focused on the identification of potential users and specification of use cases of the new web-based application “Water Use Efficiency Monitor for Central Asia” (WUEMoCA), which is subject of the third phase of the project.

WUEMoCA is the major topic of WP3 in CAWa phase III (2015-2017). It focuses on the provision of an online tool for regional assessments of water use efficiency in all extensive downstream irrigation systems of the transboundary Aral Sea Basin. The first aim is to provide information about crop yields of the major crops, i.e. “cotton”, “rice”, and “wheat”, based on free-of-charge accessible remote sensing (MODIS 250m) and meteorological (ECMWF) data aggregated at different scales ranging from Rayons to irrigation planning zones, and Oblasts. With this first part of the tool, negative developments should become visible (early warning and localization of indication for agricultural drought, harvest shortfalls).

P1140126

Final summary meeting of the CAWa meeting at CAREC in Almaty

Second, user interaction should become possible for adding data on additional crops and irrigation water amounts for the calculation of water use efficiency (how much water was used for crop production m3/t). The user will be enabled to contribute the additional information to the administrative boundaries and to request specific information based on user defined areas of interest. The second step should trigger user participation and raise interest in the development of own digital data management tools among the partners and users.

follow us and share it on:

you may also like:

Successful MSc Defense by Christina Krause

Successful MSc Defense by Christina Krause

Congratulations to our EAGLE student Christina Krause, who successfully defended her MSc thesis titled "Active Learning and Parameter-Efficient Feature Adaptation for Cross-City Seismic Building Type Transfer Using DINOv2 and Street-Level Imagery" on November 12,...

Successful MSc Defense by Marlene Bauer

Successful MSc Defense by Marlene Bauer

Congratulations to our EAGLE student Marlene Bauer, who successfully defended her MSc thesis titled "Robust and Uncertainty-Aware Informal Settlement Mapping – Cross-City Generalisation Across Diverse Urban Morphologies Using High-Resolution Satellite Imagery in...

Help Us Understand Ticks: Join the MONID HABITRACK Study

Help Us Understand Ticks: Join the MONID HABITRACK Study

Lyme borreliosis and tick-borne encephalitis (TBE) are the most common tick-borne diseases in Germany, and they are becoming more relevant. Many infections go unnoticed because they cause mild symptoms or none at all. The MONID HABITRACK project, funded by the BMFTR,...

Setting Up for the 2nd EO4CAM Nutzerworkshop

Setting Up for the 2nd EO4CAM Nutzerworkshop

Right now our staff are busy hauling cases, mounting displays and testing every cable for the 2nd EO4CAM Nutzerworkshop, “Erdbeobachtung für die Klimaanpassung, behördliche Akteure in Bayern”. The doors open tomorrow, and the exhibition...

A dashboard for multi-UAS thermal data

A dashboard for multi-UAS thermal data

Mapping an active fire with various drones flying in parallel is hard enough. But getting the data processed, evaluated and turned into research datasets is a different story. The publication is on its way, and for now we’d like to share a dashboard by Antonio José...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This