Setting Up the Roadmap for WUEMoCA Tool Dissemination in Central Asia

Setting Up the Roadmap for WUEMoCA Tool Dissemination in Central Asia

March 21, 2018

Begin of March 2018, colleagues from the Department of Remote Sensing at the University of Würzburg and their colleagues from the German-Kazakh University in Almaty (Kazakhstan) set up the roadmap for disseminating the online information tool WUEMoCA in the final CAWa phase (2018-2019).

 

The meeting in Almaty particularly dealt with

  • the current state of WUEMoCA and ongoing tool development activities,
  • recent WUEMoCA dissemination activities in Central Asia such as seminars for knowledge transfer and trainings for sustainably bringing the tool into the practice,
  • feedback by users/applicants in order to improve WUEMoCA, and
  • future cooperation.

Among others, colleagues from the Department of Remote Sensing met and discussed potential tool applications with the Institute of Geography in Almaty, the GeoFaculty ate Kazakh National University, the National Kazakh Centre for Space and Research Technology, and with Agrohub at the Kazakh National Agrarian University.

 

Introducing into the applications possibilities of the online information tool WUEMoCA (here to staff members from the National Centre for Space and Research Technology) in Almaty. Picture taken by A. Kitapbayev (March 2018)

 

What is WUEMoCA? WUEMoCA stands for Water Use Efficiency Monitor in Central Asia. WUEMoCA is a freely accessible interactive web mapping tool for the regional monitoring of irrigated cropland in the Aral Sea Basin in Central Asia. Information is largely based on optical remote sensing data (e.g. MODIS) from 2000 to 2017 (and ongoing). Results are summarized at different administrative and hydrographic levels and provided as maps, diagrams, and tables. With the designed system of indicators and methods, WUEMoCA aims to contribute to the current database at the regional scale and to support informed decison making in the water management sector. Potential applications include the assessment of marginal lands with low productivity, the intensity of land use, and the water use efficiency. WUEMoCA was jointly developed by the Department of Remote Sensing, the Scientific Information Center of the Interstate Coordination Water Commission of Central Asia (SIC ICWC), and green spin. Tool development and related research were conducted within the framework of CAWa work package 3 (WP3). The CAWa project is funded by the German Federal Foreign Office as scientific-technical component of the German Water Initiative for Central Asia (“Berlin Process”), grant no. AA7090002.

 

you may also like:

PhD defense by Thilo Erbertseder

PhD defense by Thilo Erbertseder

Thilo Erbertseder will defend his PhD thesis "Satellite-based analysis of NO2 air pollution: from global to urban aspect" on Wednesday 23rd of July at 3pm in John-Skilton Str. 4a, seminar room 1. All interested staff, students, family and friends are cordially invited...

upcoming PhD defense by Adomas Liepa

upcoming PhD defense by Adomas Liepa

Our PhD student Adomas Liepa will defend his Phd "Potential of Satellite Earth Observation in seasonal monitoring of complex agricultural environments of East Africa" on Thursday 24th of July at 11am. The defense will take place at John Skilton Str. 4a, seminarroom 1....

EORC Staff and EAGLE Students at ESA Living Planet Symposium 2025

EORC Staff and EAGLE Students at ESA Living Planet Symposium 2025

This week, our EORC team and EAGLE MSc students are joining the global Earth observation community at the ESA Living Planet Symposium (LPS) 2025 — one of the most important gatherings for Earth system scientists, remote sensing experts, and space agencies worldwide....

Our Contributions to the ESA Living Planet Symposium 2025

Our Contributions to the ESA Living Planet Symposium 2025

This week, the global Earth observation community gathered in Vienna for the ESA Living Planet Symposium 2025 — one of the most anticipated events for anyone passionate about understanding our planet through remote sensing. Our team was proud to contribute with an...