WUEMoCA Water Use Efficiency Monitor in Central Asia Informed Decision-Making in Land and Water Resources Management
Please always quote using this URN: urn:nbn:de:bvb:20-opus-191934
- WUEMoCA is an operational scientific webmapping tool for the regional monitoring of land and water use efficiency in the irrigated croplands of the transboundary Aral Sea Basin that is shared by Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Afghanistan. Satellite data on land use, crop pro-duction and water consumption is integrated with hydrological and economic information to provide of a set indicators. The tool is useful for large-scale decisions on water distribution or land use, and may be seen as demonstrator forWUEMoCA is an operational scientific webmapping tool for the regional monitoring of land and water use efficiency in the irrigated croplands of the transboundary Aral Sea Basin that is shared by Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Afghanistan. Satellite data on land use, crop pro-duction and water consumption is integrated with hydrological and economic information to provide of a set indicators. The tool is useful for large-scale decisions on water distribution or land use, and may be seen as demonstrator for numerous applications in practice, that require independent area-wide spatial information.…
| Author: | Prof. Dr. Christopher Conrad, Lucia Morper-Busch, Dr. Maik Netzband, Dr. Mike Teucher, Dr. Sarah Schönbrodt-Stitt, Gunther Schorcht, Prof. Dr. Viktor Dukhovny |
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| URN: | urn:nbn:de:bvb:20-opus-191934 |
| Document Type: | Working Paper |
| Faculties: | Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) / Institut für Geographie und Geologie |
| Language: | English |
| Year of Completion: | 2019 |
| Pagenumber: | 1-12 |
| DOI: | https://doi.org/10.25972/OPUS-19193 |
| Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik |
| GND Keyword: | Zentralasien; Information system |
| Tag: | Central Asia; Information System; Remote Sensing; WebGIS |
| Release Date: | 2019/12/09 |
| Licence (German): |  CC BY-NC-ND: Creative-Commons-Lizenz: Namensnennung, Nicht kommerziell, Keine Bearbeitungen 4.0 International |