WUEMoCA Water Use Efficiency Monitor in Central Asia Informed Decision-Making in Land and Water Resources Management
Zitieren Sie bitte immer diese 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.…
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| Autor(en): | 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 |
| Dokumentart: | Arbeitspapier / Working Paper |
| Institute der Universität: | Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) / Institut für Geographie und Geologie |
| Sprache der Veröffentlichung: | Englisch |
| Erscheinungsjahr: | 2019 |
| Seitenangabe: | 1-12 |
| DOI: | https://doi.org/10.25972/OPUS-19193 |
| Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik |
| Normierte Schlagworte (GND): | Zentralasien; Information system |
| Freie Schlagwort(e): | Central Asia; Information System; Remote Sensing; WebGIS |
| Datum der Freischaltung: | 09.12.2019 |
| Lizenz (Deutsch): |  CC BY-NC-ND: Creative-Commons-Lizenz: Namensnennung, Nicht kommerziell, Keine Bearbeitungen 4.0 International |