Open-Source WebGIS WUEMoCA (Water Use Efficiency Monitor in Central Asia)

Open-Source WebGIS WUEMoCA (Water Use Efficiency Monitor in Central Asia)

March 19, 2018

Open-Source WebGIS for Monitoring the Water Use Efficiency in Central Asia

For sustainable water management in Central Asia, remote sensing products provide independent information on land use, crop productivity and water use efficiency, which is made accessible to local decisionmakers through an online map tool.

The target area consists of the agricultural irrigation areas of the Aral Sea basin (about 9 million ha in total) in southern Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan and northern Afghanistan.

The interactive web map application “Water Use Efficiency Monitor in Central Asia” (WUEMoCA) is designed to improve the use of land and water resources in Central Asian irrigation systems in a sustainable way. The data are based on analysis results from freely accessible climate data and MODIS satellite imagery.

WUEMoCA main view

WUEMoCA main view with map filter (2), selection options (6), spatial (4) (9) and temporal (3) (10) exploration of various indicators (6), download (7) and overview (8) functions. Furthermore: general information in the Header (1), User polygon tool, here not activated (5), button to show Arial map (11).

The visualization concept allows for selection by users

  • 15 indicators (e.g., land use intensity, crop yield, water availability)
  • 10 crop types (e.g., cotton, wheat and rice)
  • 7 aggregation levels (e.g., provinces, districts, hydrological units)
  • 18 years (2000-2017).

Sober numbers are vividly presented in their spatial distribution (as maps) and temporal development (as diagrams).

User interactions for on-the-fly calculations are possible:

  • draw or upload own aggregation polygons (e.g., water supply zones)
  • insert or upload water intake values for a specific area

All results, also user-driven, are exportable for further analysis (e.g., as Shapefile or Excel table).

The applied research project CAWa is characterized by

  • cooperative concept development (indicator definitions, functions, workflows, logic) together with the University of Wuerzburg, Germany and the Scientific Information Center Tashkent, Uzbekistan (SIC ICWC)
  • integration of user requirements from the water management
  • transfer of the system architecture and the know-how into the region

User polygon tool

WUEMoCA User polygon tool (1) (draw or upload polygons, calculate indicators on-the-fly (2), visualize (3) and export the results as Excel or Shapefile) with Water Use Efficiency calculation tool (water intake input form) (4)

Outlook: the new interactive Productivity calculation tool will be integrated soon.

follow us and share it on:

you may also like:

MainPro remote sensing analysis products are now available online

MainPro remote sensing analysis products are now available online

Within our interdisciplinary research project MainPro, we aim to analyse potential climate change induced geohazards in the Main valley and its tributaries and develop nature-based solutions for them.  This project involves a large-scale analysis of potential...

Successful MSc Defense by Laura Obrecht

Successful MSc Defense by Laura Obrecht

At the recent EAGLE MSc defenses, Laura Obrecht presented her thesis on the detection of grassland mowing events using Sentinel-1 InSAR coherence and deep learning approaches. Her work, titled “Detektion von Grünlandmahd mit Sentinel-1 InSAR Coherence und einem Deep...

Interdisciplinary project MONID HABITRACK – press release

Interdisciplinary project MONID HABITRACK – press release

Tick-borne diseases such as Lyme disease and tick-borne encephalitis (TBE/FSME) are becoming an increasing concern in many regions of Germany. A new interdisciplinary research project, MONID HABITRACK (Habitat Prediction and Surveillance of Tick-borne Diseases using...

Share This